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 instructions/geekjourneyx/md2wechat-skill/agents-mdgit clone --depth 1 https://github.com/geekjourneyx/md2wechat-skillWhat 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 | $0.03692 | $0.03692 |
| Opus 5 | $0.01846 | $0.01846 |
| Sonnet 5 | $0.00738 | $0.00738 |
| Haiku 4.5 | $0.00369 | $0.00369 |
Grade A, and why
md2wechat-skill 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 yesterday.
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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- yesterday First seen · 264 lines · 3,692 tokens per session scan A a665b59f9075
md2wechat-skill AGENTS.md is an instructions file published in the GitHub repository geekjourneyx/md2wechat-skill (3,606 stars, last pushed 4d ago), with no licence file. It adds 3,692 tokens to every session, about $0.0185 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.
Other instructions, from other repositories
md2wechat-lite CLAUDE.md
Instructions for geekjourneyx/md2wechat-lite, covering md2wechat-lite - 项目记忆, 项目概述, 项目结构, 提交前工作流程 and 1. 编译检查.
md2wechat-lite AGENTS.md
Instructions for geekjourneyx/md2wechat-lite, covering md2wechat-lite - agent 工作规范, 1. 项目概述, 2. 项目结构, 3. 开发前置认知 and 4. 图片与封面约束（必须遵守）.
WxJava AGENTS.md
Instructions for binarywang/WxJava, covering wxjava agent 指南, 适用范围与指令优先级, 项目概览, 开发流程 and 代码风格与兼容性.
WxJava copilot-instructions.md
Instructions for binarywang/WxJava, covering copilot instruction, wxjava - 微信 java sdk 开发说明, 高效开发指南, 前置条件与环境准备 and 引导、构建与校验.
LangBot AGENTS.md
Instructions for langbot-app/LangBot, covering agents.md, quick facts, essential commands, where to look and cross-repo sdk work.
weapp-vite CLAUDE.md
Instructions for weapp-vite/weapp-vite, covering claude.md, project overview, vue support, common commands and development.