ScrapeGraphAI is a Python library that uses language models and graph-based pipelines to extract requested information from websites and local documents. Developers use it to build scrapers for sources such as HTML, XML, JSON, and Markdown files. The catalogue includes an instruction for working with the library.
Borrowing it
Nothing to install: this file belongs to ScrapeGraphAI/Scrapegraph-ai. 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/ScrapeGraphAI/Scrapegraph-ai/main/AGENTS.mdgit clone --depth 1 https://github.com/ScrapeGraphAI/Scrapegraph-aiWrote 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/scrapegraphai/scrapegraph-ai/agents-md)<a href="https://agentmods.dev/instructions/scrapegraphai/scrapegraph-ai/agents-md"><img src="https://agentmods.dev/badge/instructions/scrapegraphai/scrapegraph-ai/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/scrapegraphai/scrapegraph-ai/agents-md"><img src="https://agentmods.dev/badge/instructions/scrapegraphai/scrapegraph-ai/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 | $0.01314 | $0.01314 |
| Opus 5.5 | $0.00526 | $0.00526 |
| Sonnet 5.5 | $0.00263 | $0.00263 |
| Haiku 4.5 | $0.00131 | $0.00131 |
Grade A, and why
Scrapegraph-ai 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 2mo 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Instructions for AI coding agents (Claude Code, Codex, Cursor, Copilot agents, …) working on ScrapeGraphAI. Human contributors should read CONTRIBUTING.md; everything here is in addition to it.
1. Golden rule: everything goes to pre/beta
main is never written to directly. All work is based on and merged into pre/beta.
pre/beta is the prerelease branch: pushes to it publish a beta prerelease via
semantic-release (see .releaserc.yml). main only receives releases when a
maintainer promotes pre/beta.
# 1. always start from an up-to-date pre/beta
git fetch origin
git checkout -b feat/my-change origin/pre/beta
# 2. commit your work
git add <only the files you touched>
git commit -m "feat(nodes): add X"
# 3. push and open the PR against pre/beta
git push -u origin feat/my-change
gh pr create --base pre/beta --title "feat(nodes): add X" --body "..."
Checklist before you commit:
- The branch is based on
origin/pre/beta(git merge-base --is-ancestor origin/pre/beta HEAD). - The PR base is
pre/beta, notmain. - No commits directly on
mainorpre/beta, no force-push to either. - One logical change per branch/PR.
If a task genuinely requires targeting main (e.g. a hotfix on a released
version), stop and ask a maintainer first.
2. Environment setup
Python >=3.12, dependencies managed with uv:
uv sync # create the venv and install deps
uv run pre-commit install # install the git hooks
Never hand-edit uv.lock; regenerate it with uv lock / uv sync and commit
the result only when you actually changed dependencies in pyproject.toml.
3. Checks to run before pushing
make lint # ruff + black --check + isort --check-only
make type-check # mypy (strict)
make test # pytest with coverage
make pre-commit # run all hooks on all files
Run at least make lint and the tests covering what you touched. Report the
real result: if something fails or you skipped a step, say so in the PR
description instead of implying a clean run.
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.
- 2mo ago First seen · 137 lines · 1,314 tokens per session scan A dbbe4eda0e80
Scrapegraph-ai AGENTS.md is an instructions file published in the GitHub repository ScrapeGraphAI/Scrapegraph-ai (32,553 stars, last pushed 1mo ago), licensed MIT. It adds 1,314 tokens to every session, about $0.0053 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.
Scrapegraph-ai AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Scrapegraph-ai AGENTS.mdScrapeGraphAI/Scrapegraph-ai | Instructions file | 33k | 1mo ago | MIT | A | 1,314 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |