전체 문서
05 메모리 & 지식 자동 갱신 · 2026. 5. 26. 오전 5:01

Trend Harvest Journal

A six-hour journal of AI agent ecosystem signals, scoring, rejection, and applied-rule decisions

What Is Being Collected

trend-harvester periodically scans GitHub trending, Claude Code and AI agent topics, selected expert/vendor repositories, and pinned collect-only sources. Each signal is classified into planning, design, development, orchestration, memory, sync, operations, security, prompt, or research so the archive shows what kind of AI work is actually evolving.

FieldCurrent value
Latest summary filerun-summary-20260525-windows-autorun-run16.md
Summary updated2026-05-25 17:51:03
Blog generated2026-05-26T05:01:21+09:00
Run mode-
Started-
Ended-
Duration-
Applied this run0

Pinned Collect-Only Sources

These sources are collected on every autorun as trend inputs. They must not execute commands, run legacy upstream sync commands, push git changes, or mutate repositories unless the Keystone Hub autorun wrapper is explicitly launched with that behavior.

IDURLModeCategories
cc-synchttps://github.com/jung-wan-kim/cc-synccollect_onlysync, orchestration, development

Harvest Store Snapshot

BucketFilesMeaning
raw38Candidate files collected from sources
analyzed41Scored proposals held for review
rejected156Off-domain, duplicated, or already covered
applied18Items already absorbed into rules or skills
pending2Items waiting for manual review
normalized items160Item-level archive rows emitted to src/data/trend-harvest/index.json

Category Distribution

CategoryItems
development98
orchestration27
planning18
design10
prompt5
research1
security1

Daily Run Timeline

DateRun summaryDurationAppliedMode
2026-05-25run-summary-20260525-windows-autorun-run16.md-0-
2026-05-25run-summary-20260525-windows-autorun-run15.md-0-
2026-05-24run-summary-20260524-windows-autorun-run14.md-0-
2026-05-24run-summary-20260524-windows-autorun-run12.md-0-
2026-05-23run-summary-20260523-windows-autorun-run11.md-0-
2026-05-23run-summary-20260523-windows-autorun-run10.md-0-
2026-05-23run-summary-20260523-windows-autorun-run9.md-0-
2026-05-23run-summary-20260523-windows-autorun-run8.md-0-
2026-05-22run-summary-20260522-windows-autorun-run7.md-0-
2026-05-22run-summary-20260522-windows-autorun-run6.md473 seconds (~7m 53s)0Windows autorun, single pass
2026-05-22run-summary-20260522-windows-autorun-run2.md-0-
2026-05-22run-summary-20260522-windows-autorun-run5.md410s0-

Recent Item Index

DateCategorySourceStatusScoreRisk
2026-05-26orchestrationyoheinakajimapending9low
2026-05-26securityopenairaw--
2026-05-26developmentopenairaw--
2026-05-26planningopenairaw--
2026-05-26developmentsimonwraw--
2026-05-26developmentsimonwraw--
2026-05-25researchaiming-lab/AutoResearchClawapplied9low
2026-05-25developmentgithub-trending-pythonapplied9-
2026-05-25designpromptfoo/promptfooapplied8low
2026-05-25orchestration666ghj/MiroFishraw--
2026-05-25orchestrationBitterbot-AI/bitterbot-desktopraw--
2026-05-25developmentBlockRunAI/Franklinraw--

Item Detail By Date

2026-05-26

  • openai/openai-cli
    • Source: openai
    • Meta: development / status=raw / score=- / risk=-
    • Decision: openai/openai-cli
  • simonw/docs-for-llms
    • Source: simonw
    • Meta: development / status=raw / score=- / risk=-
    • Decision: simonw/docs-for-llms
  • simonw/pypi-datasette-packages
    • Source: simonw
    • Meta: development / status=raw / score=- / risk=-
    • Decision: simonw/pypi-datasette-packages
  • yoheinakajima/activegraph-selfgraph
    • Source: yoheinakajima
    • Meta: orchestration / status=pending / score=9 / risk=low
    • Categories: orchestration, sync, security
    • Signal: Ground self-configuration in a capability graph of the agent’s OWN primitives + deterministic floor + sandbox-promote-with-revalidation, so the agent cannot propose config using primitives that do not exist.
    • Decision: Ground self-configuration in a capability graph of the agent’s OWN primitives + deterministic floor + sandbox-promote-with-revalidation, so the agent cannot propose config using primitives that do not exist.
    • Target: ~/.claude/rules/self-capability-graph-grounding.md
  • openai/model_spec
    • Source: openai
    • Meta: planning / status=raw / score=- / risk=-
    • Decision: openai/model_spec
  • openai/tiktoken
    • Source: openai
    • Meta: security / status=raw / score=- / risk=-
    • Decision: openai/tiktoken

2026-05-25

  • iOfficeAI/AionUi
    • Source: iOfficeAI/AionUi
    • Meta: design / status=raw / score=- / risk=-
    • Categories: design, orchestration
    • Decision: iOfficeAI/AionUi
  • promptfoo/promptfoo
    • Source: promptfoo/promptfoo
    • Meta: design / status=applied / score=8 / risk=low
    • Categories: design, prompt
    • Signal: AI 출력 품질은 코드 리뷰로 못 잡는다 — 출력 자체를 회귀 테스트 케이스로 고정해야 측정·차단 가능
    • Decision: AI 출력 품질은 코드 리뷰로 못 잡는다 — 출력 자체를 회귀 테스트 케이스로 고정해야 측정·차단 가능
    • Target: layers/00-universal/rules/declarative-ai-eval-redteam-suite.md
  • simonw/guidepup-macos-prototype
  • BlockRunAI/Franklin
    • Source: BlockRunAI/Franklin
    • Meta: development / status=raw / score=- / risk=-
    • Decision: BlockRunAI/Franklin
  • dograh-hq/dograh
    • Source: dograh-hq/dograh
    • Meta: development / status=seen / score=- / risk=-
    • Decision: dograh-hq/dograh
  • colbymchenry/codegraph
    • Source: github-trending-all
    • Meta: development / status=reference / score=- / risk=-
    • Decision: colbymchenry/codegraph
  • can1357/oh-my-pi
    • Source: github-trending-all
    • Meta: development / status=applied-prior / score=- / risk=-
    • Decision: can1357/oh-my-pi
  • HKUDS/CLI-Anything
    • Source: github-trending-all
    • Meta: development / status=seen / score=- / risk=-
    • Decision: HKUDS/CLI-Anything
  • Imbad0202/academic-research-skills
    • Source: github-trending-python
    • Meta: development / status=rejected / score=- / risk=-
    • Categories: development, orchestration, research
    • Decision: Imbad0202/academic-research-skills
  • anthropics/claude-plugins-official
    • Source: github-trending-python
    • Meta: development / status=reference / score=- / risk=-
    • Categories: development, orchestration
    • Decision: anthropics/claude-plugins-official
  • volcengine/OpenViking
    • Source: github-trending-python
    • Meta: development / status=rejected / score=- / risk=-
    • Decision: volcengine/OpenViking
  • openai/skills
    • Source: github-trending-python
    • Meta: development / status=reference / score=- / risk=-
    • Categories: development, orchestration
    • Decision: openai/skills
  • aiming-lab/AutoResearchClaw
    • Source: github-trending-python
    • Meta: development / status=applied / score=9 / risk=-
    • Categories: development, research
    • Decision: aiming-lab/AutoResearchClaw
  • muratcankoylan/Agent-Skills-for-Context-Engineering
    • Source: github-trending-python
    • Meta: development / status=rejected / score=- / risk=-
    • Categories: development, orchestration, memory
    • Decision: muratcankoylan/Agent-Skills-for-Context-Engineering
  • obra/superpowers
    • Source: github-trending-shell
    • Meta: development / status=reference / score=- / risk=-
    • Decision: obra/superpowers
  • phodal/routa
    • Source: github-trending-ts
    • Meta: development / status=rejected / score=- / risk=-
    • Decision: phodal/routa
  • Lum1104/Understand-Anything
    • Source: github-trending-ts
    • Meta: development / status=rejected / score=- / risk=-
    • Decision: Lum1104/Understand-Anything
  • grinev/opencode-telegram-bot
    • Source: grinev/opencode-telegram-bot
    • Meta: development / status=raw / score=- / risk=-
    • Categories: development, orchestration, sync, operations
    • Decision: grinev/opencode-telegram-bot
  • guru-gh-simonw
    • Source: guru-gh-simonw
    • Meta: development / status=raw / score=- / risk=-
    • Decision: -
  • NVlabs/Sana
    • Source: NVlabs/Sana
    • Meta: development / status=seen / score=- / risk=-
    • Decision: NVlabs/Sana
  • phodal/routa
    • Source: phodal/routa
    • Meta: development / status=rejected / score=- / risk=-
    • Decision: -
  • plastic-labs/honcho
    • Source: plastic-labs/honcho
    • Meta: development / status=seen / score=- / risk=-
    • Decision: plastic-labs/honcho
  • simonw/free-threaded-wheels-results
  • unslothai/unsloth
    • Source: unslothai/unsloth
    • Meta: development / status=seen / score=- / risk=-
    • Decision: unslothai/unsloth
  • volcengine/OpenViking
    • Source: volcengine/OpenViking
    • Meta: development / status=rejected / score=- / risk=-
    • Decision: -
  • yikart/AiToEarn
    • Source: yikart/AiToEarn
    • Meta: development / status=seen / score=- / risk=-
    • Decision: yikart/AiToEarn
  • yoheinakajima/activegraph_repo_manager
  • yoheinakajima/regimes
    • Source: yoheinakajima/regimes
    • Meta: development / status=raw / score=- / risk=-
    • Decision: yoheinakajima/regimes
  • yt-dlp/yt-dlp
    • Source: yt-dlp/yt-dlp
    • Meta: development / status=seen / score=- / risk=-
    • Decision: yt-dlp/yt-dlp
  • 666ghj/MiroFish
    • Source: 666ghj/MiroFish
    • Meta: orchestration / status=raw / score=- / risk=-
    • Categories: orchestration, memory
    • Decision: 666ghj/MiroFish
  • Bitterbot-AI/bitterbot-desktop
    • Source: Bitterbot-AI/bitterbot-desktop
    • Meta: orchestration / status=raw / score=- / risk=-
    • Categories: orchestration, memory
    • Decision: Bitterbot-AI/bitterbot-desktop
  • dolthub/dolt
    • Source: dolthub/dolt
    • Meta: orchestration / status=raw / score=- / risk=-
    • Categories: orchestration, memory
    • Decision: dolthub/dolt
  • EverMind-AI/EverOS
    • Source: EverMind-AI/EverOS
    • Meta: orchestration / status=raw / score=- / risk=-
    • Categories: orchestration, memory
    • Decision: EverMind-AI/EverOS
  • FlowElement-ai/m_flow
    • Source: FlowElement-ai/m_flow
    • Meta: orchestration / status=raw / score=- / risk=-
    • Categories: orchestration, memory
    • Decision: FlowElement-ai/m_flow
  • ChromeDevTools/chrome-devtools-mcp
    • Source: github-trending-ts
    • Meta: orchestration / status=reference / score=- / risk=-
    • Decision: ChromeDevTools/chrome-devtools-mcp
  • rohitg00/agentmemory
    • Source: github-trending-ts
    • Meta: orchestration / status=seen / score=- / risk=-
    • Categories: orchestration, memory
    • Decision: rohitg00/agentmemory
  • kayba-ai/agentic-context-engine
    • Source: kayba-ai/agentic-context-engine
    • Meta: orchestration / status=raw / score=- / risk=-
    • Categories: orchestration, memory
    • Decision: kayba-ai/agentic-context-engine
  • lafmdp/Awesome-Papers-Autonomous-Agent
  • MemoriLabs/Memori
    • Source: MemoriLabs/Memori
    • Meta: orchestration / status=raw / score=- / risk=-
    • Categories: orchestration, memory
    • Decision: MemoriLabs/Memori
  • muratcankoylan/Agent-Skills-for-Context-Engineering
    • Source: muratcankoylan/Agent-Skills-for-Context-Engineering
    • Meta: orchestration / status=rejected / score=- / risk=-
    • Categories: orchestration, memory
    • Decision: -
  • pingcap/tidb
    • Source: pingcap/tidb
    • Meta: orchestration / status=raw / score=- / risk=-
    • Categories: orchestration, memory
    • Decision: pingcap/tidb
  • supermemoryai/supermemory
    • Source: supermemoryai/supermemory
    • Meta: orchestration / status=raw / score=- / risk=-
    • Categories: orchestration, memory
    • Decision: supermemoryai/supermemory
  • trustgraph-ai/trustgraph
    • Source: trustgraph-ai/trustgraph
    • Meta: orchestration / status=raw / score=- / risk=-
    • Categories: orchestration, memory
    • Decision: trustgraph-ai/trustgraph
  • humanlayer/12-factor-agents
    • Source: github-trending-ts
    • Meta: planning / status=reference / score=- / risk=-
    • Categories: planning, orchestration
    • Decision: humanlayer/12-factor-agents
  • elder-plinius/CL4R1T4S
    • Source: elder-plinius/CL4R1T4S
    • Meta: prompt / status=raw / score=- / risk=-
    • Decision: elder-plinius/CL4R1T4S
  • f/prompts.chat
    • Source: f/prompts.chat
    • Meta: prompt / status=raw / score=- / risk=-
    • Decision: f/prompts.chat
  • langfuse/langfuse
    • Source: langfuse/langfuse
    • Meta: prompt / status=raw / score=- / risk=-
    • Decision: langfuse/langfuse
  • microsoft/generative-ai-for-beginners
  • mlflow/mlflow
    • Source: mlflow/mlflow
    • Meta: prompt / status=raw / score=- / risk=-
    • Decision: mlflow/mlflow
  • AutoResearchClaw
    • Source: aiming-lab/AutoResearchClaw
    • Meta: research / status=applied / score=9 / risk=low
    • Signal: Only verified (execution/measurement-sourced) values may enter an artifact; unverified numbers are sanitized at an output gate.
    • Decision: Only verified (execution/measurement-sourced) values may enter an artifact; unverified numbers are sanitized at an output gate.
    • Target: D:/dev/keystone-hub/layers/00-universal/rules/verified-value-registry.md

2026-05-24

  • thClaws/thClaws
    • Source: thClaws/thClaws
    • Meta: design / status=rejected / score=1 / risk=low
    • Categories: design, development, orchestration
    • Signal: Open-source Rust agent harness, multi-provider, runs locally; ‘sovereign by design’.
    • Decision: Open-source Rust agent harness, multi-provider, runs locally; ‘sovereign by design’.
  • anthropics
    • Source: anthropics
    • Meta: development / status=rejected / score=1 / risk=-
    • Decision: -
  • Curated compilation of Claude Code skills, hooks, plugins
    • Source: hesreallyhim/awesome-claude-code
    • Meta: development / status=rejected / score=2 / risk=low
    • Categories: development, orchestration
    • Signal: Aggregator repo with no extracted patterns at this moment; revisit when TOC reorganization completes.
    • Decision: Aggregator repo with no extracted patterns at this moment; revisit when TOC reorganization completes.
    • Target: n/a
  • HKUDS/CLI-Anything
    • Source: HKUDS/CLI-Anything
    • Meta: development / status=analyzed / score=6 / risk=low
    • Categories: development, orchestration
    • Signal: Make any software agent-native via community CLI registry with JSON+Human dual output and verify tests; agents call CLIs instead of learning per-app APIs.
    • Decision: Make any software agent-native via community CLI registry with JSON+Human dual output and verify tests; agents call CLIs instead of learning per-app APIs.
  • hwchase17
    • Source: hwchase17
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • hwchase17
    • Source: hwchase17
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • hwchase17
    • Source: hwchase17
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • hwchase17
    • Source: hwchase17
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • hwchase17
    • Source: hwchase17
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • hwchase17
    • Source: hwchase17
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • hwchase17
    • Source: hwchase17
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • hwchase17
    • Source: hwchase17
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • hwchase17
    • Source: hwchase17
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • karpathy
    • Source: karpathy
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • karpathy
    • Source: karpathy
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • karpathy
    • Source: karpathy
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • karpathy
    • Source: karpathy
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • karpathy
    • Source: karpathy
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • karpathy
    • Source: karpathy
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • karpathy
    • Source: karpathy
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • llm-tools
    • Source: llm-tools
    • Meta: development / status=analyzed / score=9 / risk=-
    • Decision: -
  • llm-tools
    • Source: llm-tools
    • Meta: development / status=rejected / score=1 / risk=-
    • Decision: -
  • llm-tools
    • Source: llm-tools
    • Meta: development / status=analyzed / score=6 / risk=-
    • Decision: -
  • llm-tools
    • Source: llm-tools
    • Meta: development / status=rejected / score=2 / risk=-
    • Decision: -
  • llm-tools
    • Source: llm-tools
    • Meta: development / status=rejected / score=3 / risk=-
    • Decision: -
  • llm-tools
    • Source: llm-tools
    • Meta: development / status=rejected / score=3 / risk=-
    • Decision: -
  • llm-tools
    • Source: llm-tools
    • Meta: development / status=rejected / score=3 / risk=-
    • Decision: -
  • llm-tools
    • Source: llm-tools
    • Meta: development / status=analyzed / score=8 / risk=-
    • Decision: -
  • llm-tools
    • Source: llm-tools
    • Meta: development / status=rejected / score=1 / risk=-
    • Decision: -
  • llm-tools
    • Source: llm-tools
    • Meta: development / status=rejected / score=4 / risk=-
    • Decision: -
  • simonw
    • Source: simonw
    • Meta: development / status=rejected / score=1 / risk=-
    • Decision: -
  • simonw
    • Source: simonw
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • simonw
    • Source: simonw
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • simonw
    • Source: simonw
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • yoheinakajima
    • Source: yoheinakajima
    • Meta: development / status=rejected / score=2 / risk=-
    • Decision: -
  • yoheinakajima
    • Source: yoheinakajima
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • yoheinakajima
    • Source: yoheinakajima
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • yoheinakajima
    • Source: yoheinakajima
    • Meta: development / status=rejected / score=0 / risk=-
    • Decision: -
  • yoheinakajima
    • Source: yoheinakajima
    • Meta: development / status=rejected / score=4 / risk=-
    • Decision: -
  • yoheinakajima
    • Source: yoheinakajima
    • Meta: development / status=rejected / score=3 / risk=-
    • Decision: -
  • ai-agent
    • Source: ai-agent
    • Meta: orchestration / status=rejected / score=0 / risk=-
    • Decision: -
  • esengine/DeepSeek-Reasonix
    • Source: esengine/DeepSeek-Reasonix
    • Meta: orchestration / status=applied / score=7 / risk=low
    • Categories: orchestration, memory, security, prompt
    • Signal: Prefix-cache stability: keep the prompt prefix byte-identical across turns so provider KV/prompt cache hits stay high, keeping token cost flat over long sessions.
    • Decision: Prefix-cache stability: keep the prompt prefix byte-identical across turns so provider KV/prompt cache hits stay high, keeping token cost flat over long sessions.
    • Target: layers/00-universal/rules/prefix-cache-stability.md
  • moltis-org/moltis
    • Source: moltis-org/moltis
    • Meta: orchestration / status=rejected / score=5 / risk=low
    • Categories: orchestration, memory, security
    • Signal: Secure persistent personal agent server in Rust: one binary, sandboxed execution, 15 lifecycle hooks, session branching.
    • Decision: Secure persistent personal agent server in Rust: one binary, sandboxed execution, 15 lifecycle hooks, session branching.
  • SudoJacky/tinybot
    • Source: SudoJacky/tinybot
    • Meta: orchestration / status=rejected / score=2 / risk=low
    • Signal: Lightweight constantly-evolving personal AI agent.
    • Decision: Lightweight constantly-evolving personal AI agent.
  • Tencent/TencentDB-Agent-Memory
    • Source: Tencent/TencentDB-Agent-Memory
    • Meta: orchestration / status=applied / score=8 / risk=low
    • Categories: orchestration, memory, security
    • Signal: Symbolic short-term memory: condense heavy tool logs into compact Mermaid symbols (−61% tokens, +51% pass rate); layered long-term memory distills conversations into personas/scenes instead of flat vectors.
    • Decision: Symbolic short-term memory: condense heavy tool logs into compact Mermaid symbols (−61% tokens, +51% pass rate); layered long-term memory distills conversations into personas/scenes instead of flat vectors.
    • Target: layers/00-universal/rules/symbolic-tool-log-memory.md
  • Cursor plugin specification and collection
    • Source: cursor/plugins
    • Meta: planning / status=rejected / score=4 / risk=low
    • Categories: planning, development, orchestration
    • Signal: Cursor adopts the same manifest+skill+MCP primitive triad as Anthropic/microsoft-apm, confirming convergence on a portable plugin spec across AI coding agents.
    • Decision: Cursor adopts the same manifest+skill+MCP primitive triad as Anthropic/microsoft-apm, confirming convergence on a portable plugin spec across AI coding agents.
    • Target: ignored_due_to_duplicate
  • googleworkspace/cli
    • Source: googleworkspace/cli
    • Meta: planning / status=rejected / score=1 / risk=low
    • Categories: planning, development, orchestration
    • Signal: Product CLI for Google Workspace with bundled agent skills; not a reusable harness principle.
    • Decision: Product CLI for Google Workspace with bundled agent skills; not a reusable harness principle.

2026-05-23

  • Claude/Codex skill for deliberate skill development during AI-assisted coding
    • Source: DrCatHicks/learning-opportunities
    • Meta: design / status=applied / score=8 / risk=low
    • Categories: design, development, orchestration, memory, sync
    • Signal: Claude/Codex skill for deliberate skill development during AI-assisted coding — detects “learning opportunities” in real coding flow and steers the user toward them.
    • Decision: Distinct from mid-session-instinct-capture (TTL-bounded patterns) and agent-skill-extraction (post-hoc from fix commits). This is a real-time deliberate-practice loop: when the agent detects a moment where the human could learn the underlying principle, it pauses and exposes the lesson before continuing. Primitive: “learning gate” interrupting flow for high-value teaching moments. HARD via gate count + user accept/skip ratio.
    • Covered by: mid-session-instinct-capture agent-skill-extraction
    • Target: C:/Users/choa712/.claude/rules/learning-opportunity-injection.md
  • AI SKILL providing design intelligence for professional UI/UX multi-platform
    • Source: nextlevelbuilder/ui-ux-pro-max-skill
    • Meta: design / status=rejected / score=7 / risk=-
    • Categories: design, development, orchestration
    • Signal: AI SKILL providing design intelligence for professional UI/UX across multiple platforms.
    • Decision: UI skill; ui-ux-reference-nagix.md already provides design reference patterns. This is a different curator but same kind of primitive.
    • Covered by: ui-ux-reference-nagix frontend-patterns
  • Local-first open-source Claude Design alternative with 19 Skills
    • Source: nexu-io/open-design
    • Meta: design / status=rejected / score=7 / risk=-
    • Categories: design, orchestration
    • Signal: Local-first open-source Claude Design alternative with 19 Skills and design system generation.
    • Decision: Local-first design tool; useful as reference but no new primitive beyond existing design rules.
    • Covered by: frontend-patterns ui-ux-reference-nagix
  • Build autonomous AI agents in Python
    • Source: Upsonic/Upsonic
    • Meta: design / status=rejected / score=7 / risk=-
    • Categories: design, development, orchestration
    • Signal: Build autonomous AI agents with reliability primitives + MCP + universal commerce protocol.
    • Decision: Framework; reliability primitives need separate evaluation (not yet visible).
    • Covered by: agent-delegation-strategy
  • ARIS — Lightweight Markdown-only skills for autonomous ML research with cross-model review loops
    • Source: wanshuiyin/Auto-claude-code-research-in-sleep
    • Meta: design / status=rejected / score=10 / risk=-
    • Categories: design, development, orchestration, operations, research
    • Signal: ARIS — Lightweight Markdown-only skills for autonomous ML research with cross-model review loops and idea generation, paper review, paper writing automation.
    • Decision: Source of cross-model-adversarial-review.md (already cited ARIS). Primitive integrated.
    • Covered by: cross-model-adversarial-review
  • ActiveGraph longmem eval
    • Source: yoheinakajima/activegraph-longmemeval
    • Meta: design / status=analyzed / score=7 / risk=-
    • Categories: design, memory
    • Signal: Long-memory eval suite for ActiveGraph. Eval is HARD by definition (numeric scores).
    • Decision: Long-memory eval suite for ActiveGraph. Eval is HARD by definition (numeric scores).
  • agent harness performance optimization system. Skills, instincts, memory, security, research-first dev.
    • Source: affaan-m/ECC
    • Meta: development / status=rejected / score=10 / risk=-
    • Categories: development, orchestration, memory, sync, security, research
    • Signal: Agent harness performance optimization system. Skills + instincts + memory + security + research-first dev for Claude/Codex/Opencode/Cursor.
    • Decision: Already the source of mid-session-instinct-capture.md (rule cites ECC directly) and partially covered by codebase-search-before-create. No new primitive in this snapshot.
    • Covered by: mid-session-instinct-capture agent-skill-extraction agent-memory-hygiene codebase-search-before-create
  • The CLI for the Claude API
    • Source: anthropics/anthropic-cli
    • Meta: development / status=rejected / score=6 / risk=-
    • Categories: development, orchestration
    • Signal: Anthropic-published CLI for Claude API.
    • Decision: Official CLI; reference.
  • Claude Agent SDK for Python
    • Source: anthropics/claude-agent-sdk-python
    • Meta: development / status=rejected / score=6 / risk=-
    • Categories: development, orchestration
    • Signal: Claude Agent SDK for Python.
    • Decision: SDK; reference only.
  • Claude Agent SDK for TypeScript
    • Source: anthropics/claude-agent-sdk-typescript
    • Meta: development / status=rejected / score=6 / risk=-
    • Categories: development, orchestration
    • Signal: Claude Agent SDK for TypeScript.
    • Decision: SDK; reference only for integrations.
  • Official Anthropic-managed directory of high-quality Claude Code plugins
    • Source: anthropics/claude-plugins-official
    • Meta: development / status=analyzed / score=6 / risk=-
    • Categories: development, orchestration
    • Signal: Anthropic-managed plugin directory. Official curation source.
    • Decision: Anthropic-managed plugin directory. Official curation source.
  • Public repository for Agent Skills
    • Source: anthropics/skills
    • Meta: development / status=rejected / score=6 / risk=-
    • Categories: development, orchestration
    • Signal: Anthropic public skills repository — canonical reference for SKILL.md format.
    • Decision: Reference repository, primitive already captured in agent-skills-format.md.
    • Covered by: agent-skills-format
  • Enterprise AI platform with guardrails, MCP registry, gateway, orchestration
    • Source: archestra
    • Meta: development / status=analyzed / score=6 / risk=-
    • Categories: development, orchestration
    • Signal: Enterprise platform: guardrails + MCP registry + gateway.
    • Decision: Enterprise platform: guardrails + MCP registry + gateway.
  • CLI for code structural search, linting, and rewriting (AST-based)
    • Source: ast-grep/ast-grep
    • Meta: development / status=analyzed / score=9 / risk=-
    • Signal: AST-based structural code search/lint/rewrite CLI. Tree-sitter-driven exit-code-friendly.
    • Decision: AST-based structural code search/lint/rewrite CLI. Tree-sitter-driven exit-code-friendly.
  • Claude/Codex/Gemini API proxy service
    • Source: BenedictKing/ccx
    • Meta: development / status=analyzed / score=6 / risk=-
    • Categories: development, orchestration, sync
    • Signal: Claude/Codex/Gemini API proxy. Unified gateway in Go.
    • Decision: Claude/Codex/Gemini API proxy. Unified gateway in Go.
  • oh-my-pi (omp) — terminal AI coding agent with hash-anchored edits, optimized tool harness, LSP
    • Source: can1357
    • Meta: development / status=analyzed / score=8 / risk=low
    • Categories: development, orchestration
    • Signal: Hash-anchored edits + LSP integration + deterministic ast_edit are concrete primitives that make agent code-edits a HARD-checkable operation: stale anchor → reject before file corruption, instead of letting the LLM retry. Same family as our semantic-entity-diff.md but extends to the WRITE side.
    • Decision: Hash-anchored edits + LSP integration + deterministic ast_edit are concrete primitives that make agent code-edits a HARD-checkable operation: stale anchor → reject before file corruption, instead of letting the LLM retry. Same family as our semantic-entity-diff.md but extends to the WRITE side.
    • Target: ~/.claude/rules/hash-anchored-edits.md
  • AI Coding agent for terminal with hash-anchored edits, LSP, Python, browser
    • Source: can1357/oh-my-pi
    • Meta: development / status=rejected / score=8 / risk=-
    • Categories: development, orchestration, operations
    • Signal: Terminal coding agent with hash-anchored edits — content hash verification of file region before applying mutation. Primitive for safe agent code mutation.
    • Decision: Hash-anchored edit primitive is worth its own rule but run8 already evaluated this repo (analyzed/run8-* entries reference oh-my-pi). The autorun8 run analyzed it without producing a hash-anchored-edits.md rule; the primitive itself is general and would be a worthwhile rule, but applying needs a fresh proposal — we keep the analysis but reject for this autorun to avoid duplicating run8.
  • Claude Code Dedicated Development Harness achieving high quality via autonomous cycles
    • Source: Chachamaru127/claude-code-harness
    • Meta: development / status=rejected / score=8 / risk=-
    • Categories: development, orchestration
    • Signal: Claude Code Dedicated Development Harness achieving high quality through autonomous cycles — name aligns directly with our harness concept.
    • Decision: Concept (autonomous cycles) is fully captured by recursive-self-improvement-loop.md + verification-driven-pipeline.md. Name alignment is notable but no new primitive.
    • Covered by: ci-self-healing-loop recursive-self-improvement-loop verification-driven-pipeline
  • Making ALL Software Agent-Native: universal CLI integration platform
    • Source: CLI-Anything
    • Meta: development / status=analyzed / score=9 / risk=-
    • Categories: development, orchestration
    • Signal: ‘Making ALL software agent-native’ - universal CLI wrapping platform.
    • Decision: ‘Making ALL software agent-native’ - universal CLI wrapping platform.
  • Stealth Chromium that passes bot detection, drop-in Playwright replacement
    • Source: CloakHQ/CloakBrowser
    • Meta: development / status=analyzed / score=7 / risk=-
    • Signal: Stealth Chromium that passes bot detection - drop-in Playwright replacement.
    • Decision: Stealth Chromium that passes bot detection - drop-in Playwright replacement.
  • Best agent harness (previously oh-my-opencode)
    • Source: code-yeongyu/oh-my-openagent
    • Meta: development / status=analyzed / score=6 / risk=-
    • Categories: development, orchestration, sync
    • Signal: Agent harness framework.
    • Decision: Agent harness framework.
  • codegraph: Pre-indexed code knowledge graph for Claude/Codex/Cursor/OpenCode/Hermes
    • Source: colbymchenry/codegraph
    • Meta: development / status=analyzed / score=9 / risk=-
    • Categories: development, orchestration, memory, sync
    • Signal: Pre-indexed code knowledge graph -> caller/callee graph + symbol DB cuts repeat grep across same codebase by 94%.
    • Decision: Pre-indexed code knowledge graph -> caller/callee graph + symbol DB cuts repeat grep across same codebase by 94%.
  • Claude Code skill reducing token usage by 65%
    • Source: JuliusBrussee/caveman
    • Meta: development / status=analyzed / score=9 / risk=-
    • Categories: development, orchestration, security
    • Signal: Skill that reduces token usage by 65%. HARD-measurable token efficiency.
    • Decision: Skill that reduces token usage by 65%. HARD-measurable token efficiency.
  • LLM Council works together to answer your hardest questions
    • Source: karpathy/llm-council
    • Meta: development / status=analyzed / score=7 / risk=-
    • Categories: development, research
    • Signal: LLM Council - multi-model anonymous review + Chairman synthesis.
    • Decision: LLM Council - multi-model anonymous review + Chairman synthesis.
  • Codex Autoresearch Skill — modify/verify/retain/discard iterative loop
    • Source: leo-lilinxiao/codex-autoresearch
    • Meta: development / status=rejected / score=9 / risk=-
    • Categories: development, orchestration, sync, research
    • Signal: Codex variant of autoresearch — modify/verify/retain/discard loop.
    • Decision: Same primitive ported to Codex CLI; integrated.
    • Covered by: convergence-loop-no-mid-question
  • Unslop - clean LLM output of slop
    • Source: mshumer/unslop
    • Meta: development / status=analyzed / score=9 / risk=-
    • Categories: development, security
    • Signal: Clean LLM output of ‘slop’ (verbose AI-style filler). Token-efficiency primitive.
    • Decision: Clean LLM output of ‘slop’ (verbose AI-style filler). Token-efficiency primitive.
  • Bash is all you need - nano claude code-like agent harness 0 to 1
    • Source: shareAI-lab/learn-claude-code
    • Meta: development / status=analyzed / score=7 / risk=-
    • Categories: development, orchestration
    • Signal: ‘Bash is all you need’ - minimal agent harness from 0 to 1. Educational/reference.
    • Decision: ‘Bash is all you need’ - minimal agent harness from 0 to 1. Educational/reference.
  • Tracking PG and E power outages (git scraper)
    • Source: simonw/pge-outages
    • Meta: development / status=analyzed / score=10 / risk=-
    • Signal: Git scraper pattern - state changes captured as git commits over time, zero-infra change-tracking.
    • Decision: Git scraper pattern - state changes captured as git commits over time, zero-infra change-tracking.
  • Git scrapers for scraping the fediverse
    • Source: simonw/scrape-fediverse
    • Meta: development / status=analyzed / score=10 / risk=-
    • Categories: development, sync
    • Signal: Git-scraping primitive applied to social/sync domain.
    • Decision: Git-scraping primitive applied to social/sync domain.
  • Git scraper for FEMA shelters data
    • Source: simonw/scrape-fema-shelters
    • Meta: development / status=analyzed / score=10 / risk=-
    • Signal: Same git-scraping primitive applied to FEMA disaster data.
    • Decision: Same git-scraping primitive applied to FEMA disaster data.
  • Git scraper for Florida outages data
    • Source: simonw/scrape-florida-outages
    • Meta: development / status=analyzed / score=10 / risk=-
    • Signal: Git-scraping for Florida outages.
    • Decision: Git-scraping for Florida outages.
  • Git scraper recording GitHub Actions package versions
    • Source: simonw/scrape-github-actions-package-versions
    • Meta: development / status=analyzed / score=10 / risk=-
    • Signal: Git-scraping GitHub Actions package versions - track dependency drift via git diff.
    • Decision: Git-scraping GitHub Actions package versions - track dependency drift via git diff.
  • Git scraper for USGS data
    • Source: simonw/usgs-scraper
    • Meta: development / status=analyzed / score=10 / risk=-
    • Signal: Git-scraping for USGS data.
    • Decision: Git-scraping for USGS data.
  • Open source agent that lives on machines 24/7 keeping apps running
    • Source: stakpak/agent
    • Meta: development / status=rejected / score=7 / risk=-
    • Categories: development, orchestration, memory
    • Signal: Open source agent that lives on machines 24/7 keeping apps running.
    • Decision: 24/7 agent pattern covered by constant-size-memory + memory-as-filesystem-hierarchical.
    • Covered by: constant-size-memory memory-as-filesystem-hierarchical
  • ActiveGraph: agent capability graph
    • Source: yoheinakajima/activegraph
    • Meta: development / status=analyzed / score=7 / risk=-
    • Categories: development, orchestration
    • Signal: Agent capability graph - what the agent can do, encoded as graph.
    • Decision: Agent capability graph - what the agent can do, encoded as graph.
  • Static analysis tool for GitHub Actions security
    • Source: zizmorcore/zizmor
    • Meta: development / status=analyzed / score=10 / risk=-
    • Categories: development, security
    • Signal: Static analysis for GitHub Actions security - HARD primitive for CI safety.
    • Decision: Static analysis for GitHub Actions security - HARD primitive for CI safety.
  • Open source plugins for knowledge workers
    • Source: anthropics/knowledge-work-plugins
    • Meta: orchestration / status=analyzed / score=6 / risk=-
    • Signal: Plugins for knowledge workers (Jupyter, docs, etc).
    • Decision: Plugins for knowledge workers (Jupyter, docs, etc).
  • GEP-powered self-evolving engine: Genes, Capsules, Events for auditable evolution
    • Source: EvoMap/evolver
    • Meta: orchestration / status=applied / score=10 / risk=low
    • Signal: GEP-powered self-evolving engine — auditable evolution with Genes, Capsules, Events. Agent evolution as auditable record.
    • Decision: Novel primitive: model agent self-improvement steps as a tamper-evident LEDGER of Genes (atomic capabilities), Capsules (composed skills), and Events (state transitions). Distinct from recursive-self-improvement-loop (which is the curator pattern) and checkpoint-before-mutation (snapshot-and-rollback): this adds AUDITABILITY — every evolution step is logged with provenance, can be replayed, and can be diff’ed across runs. HARD: append-only ledger file presence + replay determinism check.
    • Covered by: recursive-self-improvement-loop checkpoint-before-mutation soft-to-hard-promotion
    • Target: C:/Users/choa712/.claude/rules/auditable-agent-evolution-ledger.md
  • Autoresearch agents (langgraph variant)
    • Source: hwchase17/autoresearch-agents
    • Meta: orchestration / status=analyzed / score=7 / risk=-
    • Categories: orchestration, research
    • Signal: LangGraph variant of autoresearch loop - structured graph-based research orchestration.
    • Decision: LangGraph variant of autoresearch loop - structured graph-based research orchestration.
  • Self-evolving agent: grows skill tree from 3.3K-line seed, 6x less token consumption
    • Source: lsdefine/GenericAgent
    • Meta: orchestration / status=rejected / score=10 / risk=-
    • Categories: orchestration, security
    • Signal: Self-evolving agent that grows skill tree from a 3.3K-line seed achieving full system control with 6x less token consumption.
    • Decision: Source of execution-path-crystallization.md. Primitive already integrated.
    • Covered by: execution-path-crystallization agent-skill-extraction self-extending-skill-registry
  • Skills for Real Engineers, straight from .claude directory
    • Source: mattpocock/skills
    • Meta: orchestration / status=analyzed / score=7 / risk=-
    • Signal: Tony Pocock’s .claude skills directly published; ranks #2 weekly Shell. Skills-as-portable-units pattern continues to gain.
    • Decision: Tony Pocock’s .claude skills directly published; ranks #2 weekly Shell. Skills-as-portable-units pattern continues to gain.
  • Turn raw docs into queryable RAG + autonomous reasoning agent + self-maintaining Wiki
    • Source: Tencent/WeKnora
    • Meta: orchestration / status=analyzed / score=7 / risk=-
    • Categories: orchestration, memory
    • Signal: RAG -> autonomous reasoning agent -> self-maintaining Wiki. Wiki auto-maintenance is novel angle on memory hygiene.
    • Decision: RAG -> autonomous reasoning agent -> self-maintaining Wiki. Wiki auto-maintenance is novel angle on memory hygiene.
  • Claude Autoresearch Skill — Autonomous goal-directed iteration inspired by Karpathy
    • Source: uditgoenka/autoresearch
    • Meta: orchestration / status=rejected / score=9 / risk=-
    • Categories: orchestration, research
    • Signal: Claude Autoresearch Skill — autonomous goal-directed iteration inspired by Karpathy.
    • Decision: Implementation of autoresearch primitive; integrated.
    • Covered by: convergence-loop-no-mid-question
  • Production-grade engineering skills for AI coding agents
    • Source: addyosmani/agent-skills
    • Meta: planning / status=rejected / score=9 / risk=-
    • Categories: planning, design, development, orchestration
    • Signal: Production-grade engineering skills for AI coding agents (Addy Osmani / Google).
    • Decision: Source of web-performance-budget.md. Already integrated.
    • Covered by: web-performance-budget frontend-patterns
  • Claude Code GitHub Action
    • Source: anthropics/claude-code-action
    • Meta: planning / status=rejected / score=9 / risk=-
    • Categories: planning, development, orchestration, operations
    • Signal: Claude Code GitHub Action — CI integration: PR comments, scheduled runs, self-healing test loops.
    • Decision: CI primitive captured in ci-self-healing-loop.md (cites claude-code-action directly).
    • Covered by: ci-self-healing-loop agentic-workflows-cicd
  • Frontend stack for agents and generative UI (React, Angular)
    • Source: CopilotKit/CopilotKit
    • Meta: planning / status=applied / score=7 / risk=low
    • Categories: planning, design, development, orchestration, security
    • Signal: Frontend stack for agent-native UI with React and Angular — agent-native UI components.
    • Decision: Distinct primitive: UI primitives designed for agent interaction (e.g. stateful chat threads, action-confirmation modals, streaming-token-aware components, suggestion ribbons). frontend-patterns.md covers traditional React/UX guidance; this rule documents UI building blocks specifically for agent-native UX. Pair with ui-ux-reference-nagix.md for visual design and ui-ux-pro-max-skill for design intelligence. HARD: presence of named agent-native primitives in built UI.
    • Covered by: frontend-patterns
    • Target: C:/Users/choa712/.claude/rules/agent-native-ui-primitives.md
  • Unified access to GenAI services on Envoy Gateway
    • Source: envoyproxy/ai-gateway
    • Meta: planning / status=analyzed / score=10 / risk=-
    • Categories: planning, security
    • Signal: Production-grade gateway managing unified access to GenAI services on Envoy - declarative routing/auth/rate-limit for multi-provider LLM.
    • Decision: Production-grade gateway managing unified access to GenAI services on Envoy - declarative routing/auth/rate-limit for multi-provider LLM.
  • Light-weight meta-prompting, context engineering, spec-driven dev
    • Source: gsd-build/get-shit-done
    • Meta: planning / status=analyzed / score=7 / risk=-
    • Categories: planning, design, development, orchestration, memory, prompt
    • Signal: Meta-prompting + context engineering + spec-driven dev. Wave execution + discuss mode + gate taxonomy.
    • Decision: Meta-prompting + context engineering + spec-driven dev. Wave execution + discuss mode + gate taxonomy.
  • Principles for building LLM-powered software for production customers
    • Source: humanlayer/12-factor-agents
    • Meta: planning / status=rejected / score=9 / risk=-
    • Categories: planning, design, development, orchestration, memory, prompt
    • Signal: 12 factors for production agents: own prompts, own context, own control flow, compact errors, stateless reducer steps, etc.
    • Decision: Already captured in 12-factor-agents-context-discipline.md (Factors 3, 9, 12 covered). No additional novel primitive in this snapshot beyond what is recorded.
    • Covered by: 12-factor-agents-context-discipline
  • Academic Research Skills for Claude Code: research->write->review->revise->finalize
    • Source: Imbad0202/academic-research-skills
    • Meta: planning / status=analyzed / score=7 / risk=-
    • Categories: planning, development, orchestration, research
    • Signal: Multi-stage research pipeline (research -> write -> review -> revise -> finalize). FSM-based research workflow.
    • Decision: Multi-stage research pipeline (research -> write -> review -> revise -> finalize). FSM-based research workflow.
  • AI agents running research on single-GPU nanochat training automatically
    • Source: karpathy/autoresearch
    • Meta: planning / status=analyzed / score=9 / risk=-
    • Categories: planning, orchestration, research
    • Signal: AI agents running training research autonomously on single-GPU - keep/discard loop in production at 82K stars.
    • Decision: AI agents running training research autonomously on single-GPU - keep/discard loop in production at 82K stars.
  • Complete AI agency with specialized experts (frontend, community, reality-checking)
    • Source: msitarzewski/agency-agents
    • Meta: planning / status=analyzed / score=7 / risk=-
    • Categories: planning, design, development, orchestration
    • Signal: Agent specialization with ‘reality-checking agent’ role - blind validation layer in production.
    • Decision: Agent specialization with ‘reality-checking agent’ role - blind validation layer in production.
  • Agentic skills framework and software development methodology
    • Source: obra/superpowers
    • Meta: planning / status=analyzed / score=7 / risk=-
    • Categories: planning, development, orchestration
    • Signal: Agentic skills framework + software-dev methodology with two-stage review gate (Spec Compliance + Code Quality).
    • Decision: Agentic skills framework + software-dev methodology with two-stage review gate (Spec Compliance + Code Quality).
  • Terminal-based AI coding agent with hash-anchored edits, LSP, and subagents
    • Source: oh-my-pi
    • Meta: planning / status=analyzed / score=8 / risk=-
    • Categories: planning, development, orchestration
    • Signal: Hash-anchored edits = HARD primitive for safe agent code mutation. LSP support + subagents = production harness.
    • Decision: Hash-anchored edits = HARD primitive for safe agent code mutation. LSP support + subagents = production harness.
  • Persistent Context Across Sessions for Every Agent
    • Source: thedotmack/claude-mem
    • Meta: planning / status=analyzed / score=8 / risk=-
    • Categories: planning, development, orchestration, memory
    • Signal: Persistent context across sessions captured as hooks. Production-grade session-context capture.
    • Decision: Persistent context across sessions captured as hooks. Production-grade session-context capture.
  • Self-configuring ActiveGraph: ingests own runtime/docs, builds capability graph
    • Source: yoheinakajima/activegraph-selfgraph
    • Meta: planning / status=analyzed / score=10 / risk=-
    • Categories: planning, design, orchestration, sync
    • Signal: Self-configuring agent that ingests its own runtime + docs to build a capability graph. Agent introspection -> auto-skill-discovery.
    • Decision: Self-configuring agent that ingests its own runtime + docs to build a capability graph. Agent introspection -> auto-skill-discovery.
  • Super AI assistant on large models with task planning and skill creation
    • Source: zhayujie/CowAgent
    • Meta: planning / status=rejected / score=7 / risk=-
    • Categories: planning, orchestration
    • Signal: Super AI assistant with task planning + skill creation.
    • Decision: Task planning + skill creation already covered.
    • Covered by: agent-skill-extraction execution-path-crystallization

Latest Run Detail

Trend Harvest Run Summary — windows-autorun-run16

  • Mode: full pipeline (single run, Windows autorun)
  • Start: 2026-05-25T07:57:43Z End: 2026-05-25T08:51:02Z Duration: 53m 19s
  • System of record: keystone-hub (D:/dev/keystone-hub)
  • Verdict: 0 applies — all new candidates off-domain or covered by existing rules (steady-state saturation)

Autorun constraints honored

  • No /loop, schedule, daemon, or recursive run
  • No Telegram calls (local logs only)
  • No cc-sync command / apply.sh / git commit / git push from prompt
  • Keystone Hub: NO file writes this run (nothing novel to apply); wrapper owns review/commit/push
  • Initial worktree NOT clean (4 pre-existing untracked rule files from run14/run15) — left untouched
  • No foreign/pinned repo mutation

Pinned sources (collect-only)

  • cc-sync (jung-wan-kim/cc-sync): 404 / unreachable via both gh api and WebFetch → skipped per collect-only policy (same as run15)

Collection (Phase 1)

  • Observed: 33 across 3 source cuts | New (deduped): 8 | Already-seen: 25
  • Sources: github-trending (all weekly) + github-trending (python weekly) + guru-gh:simonw
  • High-signal trending repos all already saturated: codegraph(analyzed), oh-my-pi(applied), agentmemory(applied), superpowers(analyzed), AutoResearchClaw(applied), OpenViking(rejected), honcho(covered), anthropics/claude-plugins-official(analyzed), openai/skills(reference)

Analysis (Phase 2 — LLM semantic, 10-category)

8 new items scored on loopy-era 5-axis vs 112 existing rules:

ItemScoreVerdictReason
stablyai/orca2rejectparallel-agent IDE product; covered by worktree-parallel-agents + canonical-workflow-fsm
cursor/plugins2rejectcursor plugin spec; covered by agent-manifest-pattern + agent-skills-format
plastic-labs/honcho4rejectagent memory; cited/covered by agent-memory-hygiene + triple-stream-retrieval
unslothai/unsloth1rejectlocal model training — off-domain
dograh-hq/dograh1rejectvoice agent product — off-domain
yikart/AiToEarn0rejectAI monetization — off-domain
yt-dlp/yt-dlp0rejectmedia downloader — off-domain
NVlabs/Sana0rejectimage synthesis — off-domain
  • Category distribution: development×3, operations×3, research×2, orchestration×1, sync×1, memory×1
  • Novel high-scorers (≥6, uncovered): 0

Judgment & Apply (Phase 3.3 dedup + 3.5 + 4)

  • No proposals generated → no dedup gate, no keep/discard, no apply
  • Keystone-hub file writes: 0
  • evolution-ledger.jsonl: +1 harvest event (applied=0)

State updates

  • .seen.json: 202 → 210 entries (8 new candidates recorded, statuses set to rejected)
  • No git commit / push (per constraints; wrapper owns VCS and only when worktree clean)

Remaining / notes

  • 4 untracked keystone rule files (declarative-ai-eval-redteam-suite, prefix-cache-stability, symbolic-tool-log-memory, verified-value-registry) remain from run14/run15 — awaiting wrapper commit (worktree was dirty across runs)
  • Harvest space is well-mined; expect mostly-covered results until a genuinely new primitive trends