Borrowing it
Nothing to install: this file belongs to Mingye-Lu/AgenticCrawler. 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/Mingye-Lu/AgenticCrawler/main/AGENTS.mdgit clone --depth 1 https://github.com/Mingye-Lu/AgenticCrawlerWrote 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/mingye-lu/agenticcrawler/agents-md)<a href="https://agentmods.dev/instructions/mingye-lu/agenticcrawler/agents-md"><img src="https://agentmods.dev/badge/instructions/mingye-lu/agenticcrawler/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/mingye-lu/agenticcrawler/agents-md"><img src="https://agentmods.dev/badge/instructions/mingye-lu/agenticcrawler/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 | $0.06382 | $0.06382 |
| Opus 5.5 | $0.02553 | $0.02553 |
| Sonnet 5.5 | $0.01276 | $0.01276 |
| Haiku 4.5 | $0.00638 | $0.00638 |
Grade A, and why
AgenticCrawler 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 9d 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 — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project
acrawl is a native-Rust LLM-driven web crawler. A user provides a natural-language goal; the agent plans, navigates, and extracts structured data via a 43-tool toolbox (32 browser + 4 agent-control + 7 script). It ships as a single binary with three modes: an interactive Ratatui TUI REPL (requires a TTY), non-interactive prompt (one-shot) / --resume (slash-command replay) / run (replay a saved script with no LLM), and mcp (built-in MCP server over stdio).
Commands
cargo build --release # produce ./target/release/acrawl
cargo test --workspace # run full test suite (~1,100 tests)
cargo test -p <crate> <test_name> # run a single test (e.g. -p agent mvp_tool_specs_contains_expected_43_tools)
cargo clippy --workspace --all-targets -- -D warnings # lints must be clean (workspace lints set pedantic = warn)
cargo fmt --check # format check
./target/release/acrawl # launch REPL
./target/release/acrawl prompt "scrape all titles from example.com" # one-shot
./target/release/acrawl mcp # launch MCP server (stdio)
./target/release/acrawl mcp install # interactive IDE installer
./target/release/acrawl --resume session.json /status /compact # non-interactive session maintenance
./target/release/acrawl run my_script --format jsonl --output out.jsonl # replay a saved script, no LLM/credentials
# Non-interactive provider setup (agent/CI use)
acrawl auth anthropic --api-key "sk-ant-..." # configure credentials
acrawl auth openai --api-key "sk-..." # other providers same pattern
acrawl auth amazon-bedrock --access-key AKIA... --secret-key ... --region us-east-1
acrawl config set model anthropic/claude-sonnet-4-6 # set default model
acrawl auth status --check anthropic # gate: exit 0 if ready, 3 if not
acrawl auth status # show all configured providers
acrawl auth list # list all available providers
acrawl config get headless # read a setting
acrawl config set headless false # write a setting
acrawl mcp install --client opencode # install MCP for one IDE
acrawl mcp install --all --yes # install for all IDEs
acrawl mcp install --client claude-code --skill # also install the bundled acrawl-mcp agent skill
# Exit codes: 0=ok 1=error 2=usage/config 3=not-configured
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.
- 9d ago Changed · +9 lines · +216 tokens per session da4bfbb616eb
- 25d ago Changed · +141 tokens per session 1f29e40e2dfd
- 1mo ago Changed · +1 lines · +118 tokens per session 327dea529c16
- 1mo ago Changed 150404eb1205
- 1mo ago Changed · +1 lines · +61 tokens per session 04b521001611
- 1mo ago Changed · +13 lines · +452 tokens per session 414f65bf6e0a
- 2mo ago First seen · 230 lines · 5,394 tokens per session scan A b4413cc96379
AgenticCrawler AGENTS.md is an instructions file published in the GitHub repository Mingye-Lu/AgenticCrawler (15 stars, last pushed yesterday), licensed MIT. It adds 6,382 tokens to every session, about $0.0255 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.
AgenticCrawler AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| AgenticCrawler AGENTS.mdMingye-Lu/AgenticCrawler | Instructions file | 15 | yesterday | MIT | A | 6,382 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |