Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add SisyphusSQ/harness-template --skill test-runbookgit clone --depth 1 https://github.com/SisyphusSQ/harness-templateWrote 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/sisyphussq/harness-template/test-runbook)<a href="https://agentmods.dev/skills/sisyphussq/harness-template/test-runbook"><img src="https://agentmods.dev/badge/skills/sisyphussq/harness-template/test-runbook/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/sisyphussq/harness-template/test-runbook"><img src="https://agentmods.dev/badge/skills/sisyphussq/harness-template/test-runbook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00048 | $0.00535 |
| Opus 5 | $0.00024 | $0.00267 |
| Sonnet 5 | $0.00010 | $0.00107 |
| Haiku 4.5 | $0.00005 | $0.00053 |
Grade A, and why
test-runbook 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 9d 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.
What it actually says
Test Runbook
用于生成、执行和回写可复用的测试 runbook。
启动前检查
- 读取根级
AGENTS.md； - 读取相关计划、runbook、OpenAPI / schema / controller / service 文档；
- 如存在，读取
.agents/runs/<RUN_ID>/summary； - 确认本轮范围是只生成、只执行，还是生成并回写。
执行前声明副作用
执行 runbook 前必须先说明：
- 可能写入的本地文件；
- 可能触达的服务、数据库或外部系统；
- 可能创建的临时数据；
- 明确不会触达的范围；
- 清理和恢复方式。
影响范围不清楚时先停止确认。
Runbook 必备结构
至少包含：
- 目标和成功标准；
- 执行副作用；
- 前置条件；
- 测试变量 / 初始化；
- 步骤和预期结果；
- 失败处理；
- 清理；
- 结果记录和回写规则。
Request / Response 回写规则
- 请求方法、路径、参数和关键响应字段可以写入提交版文档，但必须先脱敏；
- token、Cookie、完整 URL、数据库主机、连接串、行主键和原始响应不得写入提交版文档；
- 未执行的步骤写
未执行或blocker，不得写成通过； - 已执行结果放在文档前部的
当前验证结果和本次执行结果。
本地记录边界
- 原始命令输出和敏感痕迹保留在
.agents/runs/<RUN_ID>/或其它受控本地位置； - 提交版
docs/test/*只保留必要的脱敏摘要； - 运行记录默认不提交；
- 清理完成后记录实际清理结果。
结果回写
回写前核对：
- 目标、范围和成功标准；
- 每一步的真实结果；
- 失败步骤、阻塞和残余风险；
- 清理结果；
- 未执行项和下一步。
What ships with it
1 file 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.
- 9d ago First seen · 65 lines · 48 tokens per session scan A 3b9946c1f61f
test-runbook is a skill published in the GitHub repository SisyphusSQ/harness-template (11 stars, last pushed 18d ago), licensed MIT. It adds 48 tokens to every session and 535 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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