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 agentmods add skills/liaogui1023/coding-plugin/claude-mdnpx skills add liaogui1023/coding-plugin --skill claude-mdgit clone --depth 1 https://github.com/liaogui1023/coding-pluginWrote 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/liaogui1023/coding-plugin/claude-md)<a href="https://agentmods.dev/skills/liaogui1023/coding-plugin/claude-md"><img src="https://agentmods.dev/badge/skills/liaogui1023/coding-plugin/claude-md.svg" alt="Measured on agentmods" 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 | $0.00043 | $0.00390 |
| Opus 5 | $0.00022 | $0.00195 |
| Sonnet 5 | $0.00009 | $0.00078 |
| Haiku 4.5 | $0.00004 | $0.00039 |
Grade A, and why
claude-md 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 3d 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
CLAUDE.md / 项目记忆整理
用户输入
$ARGUMENTS
支持的意图:
createupdateaudit- 指定某个路径下的
CLAUDE.md
核心原则
CLAUDE.md是 Claude Code 自动加载的长期项目上下文- 内容要短、准、长期有效
- 不要把 lint / format 规则硬塞进去
- 不要把一次性任务说明塞进去
- 不要自动生成一堆无价值内容
推荐结构
- Project Overview
- Tech Stack
- Project Structure
- Development Commands
- Critical Conventions
- Known Issues / Gotchas
执行流程
create(创建)
- 分析项目结构和技术栈
- 草拟
CLAUDE.md - 给用户审阅
- 确认后写入
update(更新)
- 读取现有
CLAUDE.md - 找出冗余、过时或不该存在的内容
- 给出优化建议
- 审阅后更新
audit(审计)
- 检查行数和结构
- 识别 anti-patterns
- 输出报告,不直接改文件
质量约束
- 目标尽量少于 300 行
- 面向所有会话都适用
- 尽量用文件引用替代长代码块
- 命令必须真实可用
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.
- 3d ago First seen · 66 lines · 43 tokens per session scan A e3196dcfc430
claude-md is a skill published in the GitHub repository liaogui1023/coding-plugin (2 stars, last pushed 1mo ago), licensed MIT. It adds 43 tokens to every session and 390 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…