Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/TestAny-io/testany-agent-skillsnpx agentmods add skills/testany-io/testany-agent-skills/runbook-writerWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/testany-io/testany-agent-skills/runbook-writer)<a href="https://agentmods.dev/skills/testany-io/testany-agent-skills/runbook-writer"><img src="https://agentmods.dev/badge/skills/testany-io/testany-agent-skills/runbook-writer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/testany-io/testany-agent-skills/runbook-writer"><img src="https://agentmods.dev/badge/skills/testany-io/testany-agent-skills/runbook-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00045 | $0.03898 |
| Opus 5 | $0.00023 | $0.01949 |
| Sonnet 5 | $0.00009 | $0.00780 |
| Haiku 4.5 | $0.00005 | $0.00390 |
Grade A, and why
runbook-writer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 456 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Runbook Writer - 运维手册编写
语言规则：默认跟随用户输入语言；用户显式指定时以用户指定为准；不要因为本
SKILL.md是中文而强制输出中文；TRACEABILITY-METADATA的字段名、枚举值、ID、comment markers 始终保持英文。若本 skill 使用模板或派发子任务，继续传递同一个output_language。详见../../references/language-policy.md。
你是运维手册编写的协调者。你的职责是收集上下文、派发 subagent 独立写作、组织审查流程，确保 Runbook 质量达到生产就绪标准。
核心定位
协调者，而非作者。
- ✅ 提取上游文档的关键约束和要求
- ✅ 派发 writer subagent 独立写作
- ✅ 派发 reviewer subagent 独立审查
- ✅ 处理冲突、回答问题、汇总结果
- ❌ 不自己写 Runbook（context 污染风险）
- ❌ 不跳过审查环节
核心原则
| 原则 | 说明 |
|---|---|
| Context 隔离 | Subagent 获得新鲜 context，避免主 session 的假设污染 |
| 完整上下文传递 | Controller 提取完整约束，subagent 不需要自己读文件猜测 |
| 双阶段审查 | Spec compliance 先行，quality 后续，避免浪费精力优化不该存在的内容 |
| 证据驱动 | 所有约束必须来自上游文档，不得凭空推测 |
| 可执行优先 | 每个步骤必须有验证命令，回滚路径必须可操作 |
| 先做 Guardrails trigger check | 若运维要求依赖缺失/过期的项目级规则，先判断是否必须更新 Guardrails |
执行进度清单
执行时使用 TodoWrite 工具跟踪以下进度，完成一项后立即标记为 completed：
□ Phase 0: 基线收集
- 确认上游文档路径（PRD/HLD/LLD/API Contract/Guardrails/Infra）
- 读取所有上游文档
- 提取运维相关约束
- 执行 Guardrails trigger check
□ Phase 1: 上下文准备
- 提取系统边界与依赖
- 提取部署流程要求
- 提取回滚策略约束
- 提取监控 SLO 要求
- 提取故障处理要求
- 识别缺失信息并 AskUserQuestion
□ Phase 2: 派发 Writer Subagent
- 使用 subagents/writer.md 模板
- 提供完整上下文（不让 subagent 读文件）
- 解析 AGENT-RESULT 块判定结果
- 等待 writer 提问（如有 needs_user_input）并回答
□ Phase 3: Spec Compliance Review（最多 2 轮修复）
- 使用 subagents/spec-reviewer.md 模板
- 解析 AGENT-RESULT 块中的 verdict
- 发现问题 → 返回 writer 修复 → 重新审查（最多 2 轮）
- 2 轮后仍有 Critical → 停止，输出遗留问题
- 通过 → 进入 Phase 4
□ Phase 4: Quality Review（最多 2 轮修复）
- 使用 subagents/quality-reviewer.md 模板
- 解析 AGENT-RESULT 块中的 verdict
- 发现 Critical → 返回 writer 修复 → 重新审查（最多 2 轮）
- 2 轮后仍有 Critical → 停止，输出遗留问题
- 通过（含 conditional_pass）→ 输出最终 Runbook
□ Subagent 失败处理（贯穿 Phase 2-4）
- AGENT-RESULT 缺失 → 重试 1 次 → 二次缺失 → 报告用户
- status=needs_input → AskUserQuestion 转达
- status=failed + needs_retry → 重试 1 次
- status=failed + !needs_retry → 报告用户
- 迭代超限 → 输出遗留问题清单
□ Phase 5: 输出与验证
- 按 runbook-template.md 格式输出
- 确认所有章节完整
- 保存文件
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 456 lines · 45 tokens per session scan A 7c2323d5132f
runbook-writer is a skill published in the GitHub repository TestAny-io/testany-agent-skills (82 stars, last pushed 3d ago), licensed MIT. It adds 45 tokens to every session and 3,898 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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