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/wangweiwei/auto-cr/agents-mdgit clone --depth 1 https://github.com/wangweiwei/auto-crWhat 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 | $0.00769 | $0.00769 |
| Opus 5 | $0.00385 | $0.00385 |
| Sonnet 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 2d 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.
- 2d 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 (20 stars, last pushed 5d ago), licensed MIT. It adds 769 tokens to every session, about $0.0038 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
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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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 oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.