Borrowing it
Nothing to install: this file belongs to charliehzm/medharness. 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/charliehzm/medharness/main/.claude/skills/quick-fix/SKILL.mdgit clone --depth 1 https://github.com/charliehzm/medharnessWrote 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/charliehzm/medharness/quick-fix)<a href="https://agentmods.dev/skills/charliehzm/medharness/quick-fix"><img src="https://agentmods.dev/badge/skills/charliehzm/medharness/quick-fix/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/charliehzm/medharness/quick-fix"><img src="https://agentmods.dev/badge/skills/charliehzm/medharness/quick-fix.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 | $0.00173 | $0.00903 |
| Opus 5 | $0.00086 | $0.00451 |
| Sonnet 5 | $0.00035 | $0.00181 |
| Haiku 4.5 | $0.00017 | $0.00090 |
Grade A, and why
quick-fix 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 10d 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
Quick Fix · 微 Change 通道入口
核心机制
不是"绕开 SOP"，是为低风险变更建立第二个并行通道：
用户: "我要修个 typo / fix 个小 bug"
│
▼
$quick-fix
│
▼
sop_router 判定 (auto)
├─ micro: 5 步流程
└─ full: redirect 到完整 SOP
何时用
- bugfix 改 ≤ 2 文件
- 文档 / README / 注释更新
- 配置 / 常量调整
- 单元测试补全（不动主代码）
何时不用（必须走完整 SOP）
- 任何新 feature
- 任何 spec / design 修改
- 任何接口 / 数据模型变化
- 任何 L3/L4 字段相关代码（即便只读）
- 多文件 refactor
- mcp / .claude/skills/ / governance/runbooks/ 内容修改
流程（详见 研发交付SOP-v2.2-micro.md）
- 路由判定：
scripts/sop_router.py --files <列表>必须返回micro - MICRO_TAG：极简版 COMPLIANCE_TAG（自我声明）
- 实现：直接改代码
- 测试：相关 testcase 跑一遍
- PR + 轻量审计：直接 PR comment review，归档 MICRO_AUDIT.json
防伪 micro
sop_router.py 强校验：
- 文件数 ≤ 2
- 不触 L3/L4 字段（grep fields.yml 中字段名）
- 不引入 LLM 调用（grep model-router / 模型 API endpoint）
- 不在 restricted dirs（mcp/ skills/ runbooks/ 等）
任一违反 → 自动 redirect 到 full SOP。
月度抽查
- Compliance Officer 月度抽 10% micro-change 事后扫描
- 同模块连续 micro 累计 ≥ 5 → 自动告警（怀疑"micro 累计绕 SOP"）
失败模式
- 滥用 quick-fix：把 feature 拆成 micro 系列 → sop_router 累计检测拦
- 声明虚假：MICRO_TAG 自我声明无 PHI 但实际有 → 月度抽查事后处罚
- 跳过测试：micro 不跑 test 直接 PR → CI 拦
与其他 Skill 的关系
compliance-precheck-micro（v2.2 alias，Step μ1 用）openspec-apply-change（Step μ2 用）audit-snapshot-micro（v2.2 新增，Step μ5 用）
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.
- 10d ago First seen · 92 lines · 173 tokens per session scan A 0e769983acc5
quick-fix is a skill published in the GitHub repository charliehzm/medharness (86 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 173 tokens to every session and 903 once invoked, about $0.0009 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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