菜单
Record agent decisions for post-hoc analysis and audit. Use when reviewing agent behavior patterns or tracking decision trends over time.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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-decision-logging |
| description | Record agent decisions for post-hoc analysis and audit. Use when reviewing agent behavior patterns or tracking decision trends over time. |
| license | MIT |
| compatibility | Claude Code, GitHub Copilot, OpenCode, Cursor, Codex, Gemini CLI |
| metadata | {"author":"paruff","suite":"uFawkesAI"} |
Load trigger:
"load agent-decision-logging skill"> DORA: Cap 6 (Reliability) Token cost: Low
Record what agents decided and why. Enables post-hoc analysis of agent behavior patterns, decision trends, and identification of systematic biases.
agent.decision.madeEmit when the agent produces its final decision.
Attributes:
| Attribute | Type | Description |
|---|---|---|
decision | string | Final decision (PASS/FAIL/BLOCKED/APPROVE/REQUEST_CHANGES/ESCALATE) |
blocker_count | integer | Number of CRITICAL or HIGH severity findings |
finding_count | integer | Total number of findings |
agent.name | string | Agent that made this decision |
session_id | string | Unique invocation identifier |
| Trend | Meaning | Action |
|---|---|---|
| Increasing FAIL rate | Agents are stricter or quality is dropping | Investigate root cause |
| Decreasing FAIL rate | Agents are looser or quality is improving | Review if standards are slipping |
| Constant APPROVE rate | Agent may not be thorough | Review findings per invocation |
The decision and blockers fields in the Phase 0 invocation log are the source of truth.
The agent.decision.made span is the OTEL representation of those fields.