Borrowing it
Nothing to install: this file belongs to wangweiwei/auto-cr. 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/wangweiwei/auto-cr/main/AGENTS.mdgit clone --depth 1 https://github.com/wangweiwei/auto-crWrote 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/wangweiwei/auto-cr/agents-md)<a href="https://agentmods.dev/instructions/wangweiwei/auto-cr/agents-md"><img src="https://agentmods.dev/badge/instructions/wangweiwei/auto-cr/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/wangweiwei/auto-cr/agents-md"><img src="https://agentmods.dev/badge/instructions/wangweiwei/auto-cr/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 | $0.00769 | $0.00769 |
| Opus 5.5 | $0.00308 | $0.00308 |
| Sonnet 5.5 | $0.00154 | $0.00154 |
| Haiku 4.5 | $0.00077 | $0.00077 |
Grade A, and why
auto-cr 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.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS
This file is for AI agents and automation working in this repo. Keep human-facing content in README.md for readability and SEO.
AI Metadata
project: auto-cr
repo: https://github.com/wangweiwei/auto-cr
packages:
- auto-cr-cmd
- auto-cr-rules
languages: [JavaScript, TypeScript]
cli: "npx auto-cr-cmd --language en <path>"
outputs: [text, json]
config_files: [.autocrrc.json, .autocrrc.js]
ignore_files: [.autocrignore.json, .autocrignore.js]
CLI Behavior (structured)
cli_options:
- flag: --language
values: [zh, en]
default: LANG env (fallback zh)
- flag: --output
values: [text, json]
default: text
- flag: --progress
values: [tty-only, yes, no]
default: no
- flag: --stdin
note: "reads when piped; supports newline or NUL separators"
- flag: --rule-dir
- flag: --config
- flag: --ignore-path
- flag: --tsconfig
scan:
extensions: [.ts, .tsx, .js, .jsx]
skip_dts: true
directory_scan_skips: [node_modules]
stdin_auto_read_when_piped: true
output:
text: stderr
json: stdout
exit_codes:
ok: 0
errors_or_fatal: 1
custom_rules:
extensions: [.js, .cjs, .mjs]
exports: [rule, rules, default, array]
env:
AUTO_CR_WORKERS: "0/1 single-thread; >1 sets worker count; default CPU-1 when files >= 20"
Repo Layout
packages/auto-cr-cmd: CLI implementation (entry:packages/auto-cr-cmd/src/index.ts).packages/auto-cr-rules: Rule SDK + built-in rules (rules inpackages/auto-cr-rules/src/rules, messages inpackages/auto-cr-rules/src/messages.ts).docs/: Configuration + rule docs.examples/: Example projects and rule demos.scripts/: Workspace utilities, including README syncing.
Common Commands
- Install deps:
pnpm install(workspace uses[email protected]). - Build all:
pnpm run build - Build all (force):
pnpm run build:force - Dev/watch CLI:
pnpm run dev - Run CLI in TS:
pnpm run cli
User-Facing Config
.autocrrc.json/.autocrrc.jsfor rule settings (seedocs/config.md)..autocrignore.json/.autocrignore.jsfor ignore patterns (seedocs/config.md).tsconfig.jsonis used to infer parser options; override with--tsconfig.
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 · 84 lines · 769 tokens per session scan A 1a435a380abc
auto-cr AGENTS.md is an instructions file published in the GitHub repository wangweiwei/auto-cr (21 stars, last pushed 20d ago), licensed MIT. It adds 769 tokens to every session, about $0.0031 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
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.