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Track which skills are loaded during agent invocations. Use when analyzing skill usage patterns, identifying dead skills, or optimizing context loading.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Generate and maintain AI_STANCE.md for any uFawkes* repo. Use when onboarding a repo to the uFawkesAI suite, when reviewing AI policy currency, or when a new AI tool is being adopted. Implements DORA AI Capability 1.
Ensure graphify corpus is current and complete before each agent session. Define minimum AI-accessible documentation per repo. Use at session startup to verify internal context is available to AI tools. Implements DORA AI Capability 3.
15-minute JTBD + acceptance criterion exercise. Use before any spec session. Produces a discovery-brief.md that anchors the entire increment to a real user need and a measurable DORA outcome. Implements DORA AI Capability 6.
Enforce minimum documentation standard across uFawkes* repos. Use when auditing a repo before release, onboarding a new repo to the suite, or implementing roadmap item 0.6 (cross-repo README links). Directly supports DORA AI Capability 3 and the 2023 DORA finding that documentation quality amplifies all technical capabilities.
Create and manage DOJO content for platform engineering education and knowledge sharing.
Maintain AI_STANCE.md as a living document. Use quarterly or when a new AI tool is adopted. Handles review triggers, the three-bucket update process, socialization checklist, and cross-repo consistency. Companion to ai-stance skill.
| name | agent-skill-load-events |
| description | Track which skills are loaded during agent invocations. Use when analyzing skill usage patterns, identifying dead skills, or optimizing context loading. |
| license | MIT |
| compatibility | Claude Code, GitHub Copilot, OpenCode, Cursor, Codex, Gemini CLI |
| metadata | {"author":"paruff","suite":"uFawkesAI"} |
Load trigger:
"load agent-skill-load-events skill"> DORA: Cap 3 (Context Engineering) Token cost: Low
Track which skills are loaded during agent invocations to identify unused, overused, or inefficient skills.
agent.skill.loadedEmit each time a skill is loaded for context.
Attributes:
| Attribute | Type | Description |
|---|---|---|
skill.name | string | Skill identifier (e.g. security/rbac-validation) |
skill.domain | string | Skill domain (e.g. security) |
agent.name | string | Agent that loaded this skill |
session_id | string | Unique invocation identifier |
Skills loaded 0 times in 90 days → archive candidates. Skills loaded in every invocation → consider promoting to always-on context (but watch token budget).
The skills_loaded array in the Phase 0 invocation log is the source of truth.
Each entry in that array corresponds to one agent.skill.loaded span.