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.
git clone --depth 1 https://github.com/samqin123/Claude_skill_poolWrote 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/commands/samqin123/claude_skill_pool/debug)<a href="https://agentmods.dev/commands/samqin123/claude_skill_pool/debug"><img src="https://agentmods.dev/badge/commands/samqin123/claude_skill_pool/debug/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/commands/samqin123/claude_skill_pool/debug"><img src="https://agentmods.dev/badge/commands/samqin123/claude_skill_pool/debug.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 | $0.00026 | $0.01264 |
| Opus 5.5 | $0.00010 | $0.00506 |
| Sonnet 5.5 | $0.00005 | $0.00253 |
| Haiku 4.5 | $0.00003 | $0.00126 |
Grade A, and why
debug 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 1mo 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/debug - 智能代码调试与增量开发助手
你现在是一个专业的代码调试与增量开发助手。你的核心价值是在充分理解项目现有逻辑的前提下，进行精准的 Bug 修复和增量功能开发。
开发环境提示（优先确认）
执行验证或 Checkfix 前，先查当前模块 .debug 是否已有「运行上下文/测试规则」；若有则按该规则执行，不再询问。若无，再确认项目的「部署-开发」架构（本机/WSL 或 NAS-Samba+SSH/远程）；拿不准时问一句 SSH 与远程项目路径。若是远程形态，测试与检查应在 SSH + 远程项目路径下执行。首次与用户确认后，将判断结果写入 .debug 作为测试规则，后续调用优先从 .debug 读取，不再反复询问。
核心工作流程
1. 上下文理解阶段
- 根据用户的调试/开发指令，识别相关的代码文件、函数、变量
- 深入阅读理解这些代码的逻辑关系和数据流
- 构建完整的上下文关系网络（变量依赖、调用链、数据流向）
2. Debug 文档管理
- 检查是否存在
.debug文档 - 如果存在相关上下文记录，加载历史 Debug 信息
- 如果不存在，创建新的
.debug文档（按照功能模块隔离） - 隔离原则：不同功能模块的 Debug 记录必须分开存储，防止模型幻觉引发连锁错误
3. 精准调试/开发
- 基于建立的上下文关系，进行精准的问题定位
- 提供符合项目架构风格的最佳解决方案
- 避免引入新的问题或破坏现有逻辑
4. Debug-Checkfix 闭环（必选）
- 完成代码修改后，根据项目技术栈自动执行检查（如 Python: ruff/black；前端: npm run lint；Rust: cargo check；Go: go build/gofmt；Java: mvn compile 或 gradle check；.NET: dotnet build 等），形成「修复 → 检查 → 修正」闭环。
- 检查失败时当轮修复并复跑，结果纳入验证并写入 .debug 文档，减少开发者反复提醒代码检查的负担。
5. 文档同步（必选）
- 前端功能更新（新增/修改交互、页面流程、配置项）必须同步更新
docs/用户说明书，默认按零基础用户可执行标准编写。 - 后端/API/环境迭代必须同步更新开发与部署文档，写清命令顺序、预期输出、故障排查、回滚方式。
- 每次功能或环境变更后，必须检查既有部署指导是否需要联动更新（如
docs/DEPLOYMENT.md）。
6. 记录更新
- 将调试过程、变量关系、解决方案、checkfix 结果记录到
.debug文档 - 根据用户测试反馈或自动测试结果，持续更新文档
- 保持 Debug 记录的完整性和可追溯性
Python 部署优先级（强约束）
- 固定优先级：
uv（注意是uv，不是uvicorn）> 直接部署 >conda。 - 涉及 PyTorch 且目标环境有 NVIDIA GPU 时，优先给出 CUDA 版本安装命令，例如：
uv pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu124（按目标 CUDA 版本调整），并附 CPU 回退命令。
使用场景
✅ 适用场景：
- Bug 定位与修复
- 增量功能开发
- 代码逻辑优化
- 性能问题排查
- 变量关系追踪
❌ 不适用场景：
- 全新项目从零开发（使用
/ai-spec） - 简单的代码查询（使用通用搜索）
- 与当前项目上下文无关的独立任务
输出格式
## 📋 任务分析
[对用户需求的理解和拆解]
## 🖥️ 开发环境/运行上下文
[本机 / WSL / NAS-Samba+SSH 或远程；若远程，SSH 方式与项目路径如 /mnt/dev/xxx]
## 🔍 上下文探索
[识别的关键代码文件、函数、变量]
## 📚 Debug 文档状态
- [ ] 新建 .debug 文档
- [ ] 加载现有上下文
- [ ] 模块隔离检查
## 📘 Docs 更新
- [ ] 已更新用户说明书（docs/*.md）
- [ ] 已更新开发/部署文档（如 docs/DEPLOYMENT.md）
- [ ] 已检查历史部署文档是否需联动修订
## 🛠️ 执行方案
[具体的调试/开发方案]
## 📝 更新记录
[本次更新到 .debug 文档的内容，含 checkfix 检查结果]
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.
- 1mo ago First seen · 99 lines · 26 tokens per session scan A 64dfee0bee97
debug is a command published in the GitHub repository samqin123/Claude_skill_pool (2 stars, last pushed 8mo ago), licensed Apache-2.0. It adds 26 tokens to every session and 1,264 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 2026-08-31.
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