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audit-telemetry
Analyze local telemetry logs to produce metrics on skill usage, agent invocations, and workflow patterns.
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。
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Analyze local telemetry logs to produce metrics on skill usage, agent invocations, and workflow patterns.
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
Safe, project-wide remediation of a dangerous or incorrect code pattern using structured search and replace.
Run a multi-faceted code review on uncommitted changes using specialized review subagents.
Create an Architectural Decision Record (ADR) to document a design choice or technical strategy.
Run a multi-faceted code review on uncommitted changes using specialized review subagents.
Commit (if needed), push the current branch to origin, and generate a pull request description in the chat.
Generate a session handoff document capturing the current working state for the next session.
| name | audit-telemetry |
| description | Analyze local telemetry logs to produce metrics on skill usage, agent invocations, and workflow patterns. |
| metadata | {"author":"cascadian-gamers","version":"1.0"} |
Analyze local telemetry logs to produce metrics on skill usage, agent invocations, and workflow patterns.
Optional: date range (default: last 7 days), focus area (e.g., "reviews", "subagents", "decisions").
.jsonl files in .kiro/telemetry/.Skill Usage:
| Metric | How |
|---|---|
| Total skill invocations | Count type: "skill" events |
| Skills by frequency | Group by skill, count, sort descending |
| Average duration per skill | Mean duration_sec for completed events, grouped by skill |
| Skill success rate | completed / (completed + failed) per skill |
| Most common trigger | user vs auto (chained) ratio |
Subagent Usage:
| Metric | How |
|---|---|
| Total subagent invocations | Count type: "subagent" events |
| Agents by frequency | Group by agent, count |
| Average findings per review | Mean findings for review agents |
| Subagent failure rate | failed / total per agent |
Review Decisions:
| Metric | How |
|---|---|
| Total decisions | Count type: "decision" events |
| Agree/Disagree/Defer ratio | Group by assessment, count |
| Most disagreed categories | Group disagreements by skill/category |
Workflow Patterns:
| Metric | How |
|---|---|
| Skill chains | Count type: "chain" events, show most common chains |
| Average review iterations | Count review→fix loops per task |
| Time from implement start to commit | Duration between first started and last completed for a task |
Flag violations:
started event (missing start log)started but no completed/failed (abandoned or forgot to log)📊 Telemetry Report: 2026-02-19 to 2026-02-25
SKILL USAGE (last 7 days):
| Skill | Invocations | Avg Duration | Success Rate |
|-------|-------------|-------------|--------------|
| implement-and-review-loop | 8 | 7.2 min | 100% |
| review-code | 8 | 1.5 min | 87% |
| session-handoff | 5 | 0.5 min | 100% |
| validate-deployment | 3 | 2.1 min | 100% |
| push-and-pr | 3 | 0.8 min | 100% |
SUBAGENT USAGE:
| Agent | Invocations | Avg Findings | Failure Rate |
|-------|-------------|-------------|--------------|
| review-security | 8 | 2.1 | 0% |
| review-maintainability | 8 | 3.4 | 12% |
| review-test-quality | 8 | 1.8 | 0% |
| review-infrastructure | 8 | 0.9 | 0% |
REVIEW DECISIONS:
Agree: 12 (35%) | Disagree: 18 (53%) | Defer: 4 (12%)
Top disagreement: "DRY violation" (5 times)
COMPLIANCE:
✅ All skills logged start + end
⚠️ 1 subagent invocation without parent skill (2026-02-22)
✅ All review cycles have decision events
.kiro/steering/telemetry.md requires logging.