Borrowing it
Nothing to install: this file belongs to DavidLam-oss/obsidian-wechat-converter. 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/DavidLam-oss/obsidian-wechat-converter/main/CLAUDE.mdgit clone --depth 1 https://github.com/DavidLam-oss/obsidian-wechat-converterWrote 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/davidlam-oss/obsidian-wechat-converter/claude-md)<a href="https://agentmods.dev/instructions/davidlam-oss/obsidian-wechat-converter/claude-md"><img src="https://agentmods.dev/badge/instructions/davidlam-oss/obsidian-wechat-converter/claude-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/davidlam-oss/obsidian-wechat-converter/claude-md"><img src="https://agentmods.dev/badge/instructions/davidlam-oss/obsidian-wechat-converter/claude-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 | $0.07501 | $0.07501 |
| Opus 5 | $0.03750 | $0.03750 |
| Sonnet 5 | $0.01500 | $0.01500 |
| Haiku 4.5 | $0.00750 | $0.00750 |
Grade A, and why
obsidian-wechat-converter 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 5d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Language Preferences
- Detect the language of the user's prompt (English or Chinese). Always reply in the same language unless explicitly asked otherwise.
- When drafting replies or documentation intended for Chinese audiences, ensure natural, native-level phrasing.
Commands
- Install Dependencies:
npm install - Build for Production:
npm run build(Minifies code, no sourcemaps) - Start Development Watcher:
npm run dev(Buildsmain.jsand watches for changes) - Testing: This project relies on manual visual testing.
- Use
TEST.mdto verify rendering logic, style conversion, and WeChat compatibility. - Check the "Live Preview" pane in Obsidian to ensure "What You See Is What You Get".
- Use
- Automated Testing:
npm test(Runs Vitest unit tests).- Always evaluate the need for new unit tests after significant logic changes.
- Use the
universal-guardrailsskill to scaffold tests if needed.
Architecture & Structure
- Project Type: Obsidian Plugin (Node.js environment within Electron).
- Entry Point:
input.jsis the source entry point, which bundles intomain.js. - Core Components:
input.js: Main plugin logic and lifecycle management.converter.js: Handles Markdown to WeChat-compatible HTML conversion.styles.css: Base plugin styles.themes/: Contains specific visual themes (Simple, Classic, Elegant).lib/: Helper libraries (including the dynamically loadedmathjax-plugin.js).
- Build System:
- Main Bundle:
esbuildviaesbuild.config.mjs(Targetsmain.js). - Math Bundle:
esbuildviaesbuild.math.mjs(Targetslib/mathjax-plugin.js). - Targets
es2018/ CommonJS.
- Main Bundle:
- WeChat Integration:
- Supports syncing to WeChat Drafts.
- Uses a proxy (e.g., Cloudflare Worker) to handle CORS and IP whitelisting for WeChat API calls (logic likely in
input.jsorconverter.js). - Handles image processing: Local images are converted/uploaded; supports avatars and covers.
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.
- 5d ago First seen · 151 lines · 7,501 tokens per session scan A 0a441fc96410
obsidian-wechat-converter CLAUDE.md is an instructions file published in the GitHub repository DavidLam-oss/obsidian-wechat-converter (307 stars, last pushed today), licensed MIT. It adds 7,501 tokens to every session, about $0.0375 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 2026-09-04.
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