Borrowing it
Nothing to install: this file belongs to itshen/source-reading-methodology. 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/itshen/source-reading-methodology/main/AGENTS.mdgit clone --depth 1 https://github.com/itshen/source-reading-methodologyWrote 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/instructions/itshen/source-reading-methodology/agents-md)<a href="https://agentmods.dev/instructions/itshen/source-reading-methodology/agents-md"><img src="https://agentmods.dev/badge/instructions/itshen/source-reading-methodology/agents-md/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/instructions/itshen/source-reading-methodology/agents-md"><img src="https://agentmods.dev/badge/instructions/itshen/source-reading-methodology/agents-md.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 | $0.00539 | $0.00539 |
| Opus 5.5 | $0.00216 | $0.00216 |
| Sonnet 5.5 | $0.00108 | $0.00108 |
| Haiku 4.5 | $0.00054 | $0.00054 |
Grade A, and why
source-reading-methodology AGENTS.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 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.
What it actually says
给 AI 的入口
这个仓库是一套源码精读方法论：带 AI 精读大型开源仓库，产出每句话都能回溯到源码具体行的书稿、课程或技术文档。
要用这套方法论干活
动手之前先完整读 SKILL.md。 它是唯一入口，一份文件讲完整套流程：四阶段工作流、零幻觉铁律、引用格式、文风约束、机器校验、并行生产。需要细节时再去读 templates/、PITFALLS.md 和 book/README.md，不要凭印象补。
一条不可妥协：每一个技术论断都可回溯到源码的具体行。 代码块必须与源文件逐字节一致，行号动笔前用读文件工具实读核实，中间跳过内容要写显式省略标记，查不到就写明「未找到对应实现，检索关键词为 X、Y」。编一个看起来合理的，整份产出的可信度就是零。
接到任务先问清产出形态和规模再动手。读懂一个模块、写一篇架构分析、做一门几十节的课，该走的阶段数完全不同，四阶段全流程很重，小任务不需要。
要改这个仓库本身
- 方法论正文改
METHODOLOGY.md，改完确认SKILL.md里的对应段落没跟它矛盾。两份都是入口，漂移了后来的人会按错的那份做 - 新踩的坑加进
PITFALLS.md，写清现象、原因、怎么防。不写抽象教训 - 动过
book/的主题或sample/chapters/，重建样张并确认产物正常：
python3 book/build_book.py --config sample/book.config.json # 产物在 docs/，提交后 Pages 自动发布
python3 book/shot_book.py docs -c ch-02.html # 截图校对，同时报告页面 JS 报错
- 面向读者的正文交付前跑
python3 templates/style_scan.py <路径>，句式禁忌必须清零。不要用同义替换绕过正则，禁的是那种表达方式，不是那几个字
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 · 25 lines · 539 tokens per session scan A 3ce4d045aaa2
source-reading-methodology AGENTS.md is an instructions file published in the GitHub repository itshen/source-reading-methodology (139 stars, last pushed 2mo ago), licensed MIT. It adds 539 tokens to every session, about $0.0022 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.
Other instructions, from other repositories
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AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
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Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.