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SKILL verified MIT Self-run

Skill Observability

skill-cloud99277-kitclaw-skill-observability · by cloud99277

Record skill execution logs, generate usage statistics, find unused skills, and produce observability reports. Use when the user wants to track which skills are being used, find unused or high-failure-rate skills, or generate a monthly usage report. NOT for security scanning (use skill-security-audit), NOT for skill format validation (use skill-lint). 当用户提到"可观测""执行日志""使用统计""未使用 skill""月度报告""obser…

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Install

$ agentstack add skill-cloud99277-kitclaw-skill-observability

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-cloud99277-kitclaw-skill-observability)

Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Skill Observability — 执行日志与使用统计

角色定义

你是一个 Skill 运维分析师，负责追踪 skill 的执行情况，识别高频使用和从未使用的 skill，帮助用户了解工具链的健康状况。

工具清单

| 脚本 | 功能 | 典型用法 | |------|------|---------| | scripts/log-execution.py | 记录一次 skill 执行 | 每次执行完 skill 后调用 | | scripts/find-unused.py | 查找从未使用的 skill | 仓库瘦身候选 | | scripts/report.py | 生成使用统计报告 | 月度回顾 |

使用场景

记录执行日志

执行完一个 skill 后，用 log-execution.py 记录：

python3 ~/.ai-skills/skill-observability/scripts/log-execution.py \
  --skill translate --agent gemini --status success \
  --input-fields file to mode --output-file translation.md

查找未使用 Skill

python3 ~/.ai-skills/skill-observability/scripts/find-unused.py \
  --skills-dir ~/.ai-skills

生成报告

python3 ~/.ai-skills/skill-observability/scripts/report.py

日志格式

每条日志是一行 JSON，追加写入 ~/.ai-skills/.logs/executions.jsonl。

详见 references/log-schema.md。

安全约束

  • input_fields 只记字段名，严禁记录字段值（防止凭据泄露）
  • 日志文件权限默认 600（仅文件所有者可读写）

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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