Borrowing it
Nothing to install: this file belongs to Joe-rq/harness-lab. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Joe-rq/harness-lab/master/.agents/skills/source-command-refactor/SKILL.mdgit clone --depth 1 https://github.com/Joe-rq/harness-labWrote 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/joe-rq/harness-lab/source-command-refactor)<a href="https://agentmods.dev/skills/joe-rq/harness-lab/source-command-refactor"><img src="https://agentmods.dev/badge/skills/joe-rq/harness-lab/source-command-refactor/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/joe-rq/harness-lab/source-command-refactor"><img src="https://agentmods.dev/badge/skills/joe-rq/harness-lab/source-command-refactor.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 | $0.00025 | $0.00630 |
| Opus 5.5 | $0.00010 | $0.00252 |
| Sonnet 5.5 | $0.00005 | $0.00126 |
| Haiku 4.5 | $0.00003 | $0.00063 |
Grade A, and why
source-command-refactor 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 2mo 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
source-command-refactor
Use this skill when the user asks to run the migrated source command refactor.
Command Template
/refactor
目标
引导用户创建 refactor 型 REQ。
前置检查
- 确认
requirements/目录存在。不存在 → 提示先运行/harness-setup - 确认
package.json中有req:create脚本。不存在 → 提示先运行/harness-setup - 运行
npm run req:status确认当前 worktree 无活跃 REQ。有活跃 REQ → 提示先完成或搁置当前 worktree 的 REQ；如需并行新开一条线，改用source-command-worktree-req - 如需查看全局并行状态，运行
npm run req:status -- --all
执行步骤
Step 1: 收集重构信息
使用 AskUserQuestion 询问：
- 重构目标（必填）：要重构什么？如"将 session 管理从中间件抽取为独立模块"
- 当前问题（必填）：为什么需要重构？如"session 逻辑散布在 5 个文件中"
- 为什么现在做（可选）：触发原因
Step 2: 创建 refactor REQ
运行：
npm run req:create -- --title "refactor: [重构目标]" --type refactor
Step 3: 补充重构详情
用 Edit 将 REQ 中的占位符替换为用户提供的实际信息：
[请描述技术债或流程缺口]（背景-当前问题）→ 用户的当前问题[请描述触发原因]（背景-为什么现在做）→ 用户的触发原因[模块/流程]（目标-重构）→ 用户的重构目标
Step 4: 提示用户确认
重点提醒：
- 确认"非目标"中的"不做功能行为变更"是否符合预期
- 如果涉及文件数 ≥4，考虑是否拆分 REQ
- 补充"颗粒度自检"
- 确认后运行
npm run req:start -- --id {reqId} --phase implementation
输出
- 创建的 REQ ID 和文件路径
- REQ 类型：refactor
- 已预填充：技术债描述占位、行为不变约束、skip-design-validation
- 核心约束提醒：重构后所有测试必须通过，行为不能变
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.
- 2mo ago First seen · 64 lines · 25 tokens per session scan A dec18bdfa6b8
source-command-refactor is a skill published in the GitHub repository Joe-rq/harness-lab (23 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 630 once invoked, about $0.0001 per session on Opus 5.5. 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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