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context-police
context-police에는 wan-huiyan에서 수집한 skills 2개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Use when an agent harness's skills/tools catalog has grown large (hundreds+, e.g. from an auto-skill-minting loop) and is taxing context: the listing of skill names+descriptions is injected every turn AND into every subagent, so cost multiplies on fan-out and small-context agents can overflow ("Prompt is too long" at 0 tokens). This skill is the AUDIT + CURATION methodology plus measurement/reporting: the trimming levers are now native harness features (Claude Code ships them built in) — the durable value is deciding WHAT to trim (episodic lessons vs real skills), applying it safely, and measuring the result. The PROBLEM + curation METHODOLOGY are harness-agnostic — the Agent Skills open standard (agentskills.io) is shared by Claude Code, Cursor, Codex, Copilot CLI, Gemini CLI; only the levers differ. Covers: the portable diagnosis + classification rigor (curate by INTENT not name, conservative asymmetry, blind re-rate, deterministic checks over LLM votes); the cross-harness landscape (native budget on Claude
Use when an agent harness's skills/tools catalog has grown large (hundreds+, e.g. from an auto-skill-minting loop) and is taxing context: the listing of skill names+descriptions is injected every turn AND into every subagent, so cost multiplies on fan-out and small-context agents can overflow ("Prompt is too long" at 0 tokens). This skill is the AUDIT + CURATION methodology plus measurement/reporting: the trimming levers are now native harness features (Claude Code ships them built in) — the durable value is deciding WHAT to trim (episodic lessons vs real skills), applying it safely, and measuring the result. The PROBLEM + curation METHODOLOGY are harness-agnostic — the Agent Skills open standard (agentskills.io) is shared by Claude Code, Cursor, Codex, Copilot CLI, Gemini CLI; only the levers differ. Covers: the portable diagnosis + classification rigor (curate by INTENT not name, conservative asymmetry, blind re-rate, deterministic checks over LLM votes); the cross-harness landscape (native budget on Claude