Borrowing it
Nothing to install: this file belongs to Tools2U/AI-Website-Audit-CLI. 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/Tools2U/AI-Website-Audit-CLI/main/AGENTS.mdgit clone --depth 1 https://github.com/Tools2U/AI-Website-Audit-CLIWrote 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/tools2u/ai-website-audit-cli/agents-md)<a href="https://agentmods.dev/instructions/tools2u/ai-website-audit-cli/agents-md"><img src="https://agentmods.dev/badge/instructions/tools2u/ai-website-audit-cli/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/tools2u/ai-website-audit-cli/agents-md"><img src="https://agentmods.dev/badge/instructions/tools2u/ai-website-audit-cli/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 | $0.00298 | $0.00298 |
| Opus 5.5 | $0.00119 | $0.00119 |
| Sonnet 5.5 | $0.00060 | $0.00060 |
| Haiku 4.5 | $0.00030 | $0.00030 |
Grade A, and why
AI-Website-Audit-CLI 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.
What it actually says
AGENTS.md
Guidance for Codex and other AI coding agents working in this repository.
Project intent
ai-website-audit-cli is a small, inspectable, MIT-licensed CLI for website audits. It combines deterministic extraction/scoring with OpenAI-powered report generation through the Responses API.
Contribution rules
- Keep deterministic checks transparent and testable.
- Do not hide network calls in helper functions without clear naming.
- Do not send secrets,
.env, cookies, or private headers to OpenAI. - Keep OpenAI calls in
src/ai_website_audit/openai_client.py. - Keep prompts in
prompts/and prompt assembly insrc/ai_website_audit/prompts.py. - Add or update tests for parsing, scoring, CLI behavior, and report generation.
- Prefer small focused PRs.
Commands
python -m venv .venv
source .venv/bin/activate
pip install -e . pytest
pytest
ai-website-audit inspect https://example.com --html
ai-website-audit audit https://example.com --language en --html
Safety and privacy
- The tool only fetches public URLs provided by the user.
- The AI prompt contains extracted public page data and deterministic audit output.
- The default setting is
OPENAI_STORE_RESPONSES=false. - Never commit API keys or generated reports containing sensitive private websites.
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 · 36 lines · 298 tokens per session scan A 9f501fd86a98
AI-Website-Audit-CLI AGENTS.md is an instructions file published in the GitHub repository Tools2U/AI-Website-Audit-CLI (64 stars, last pushed 5mo ago), licensed MIT. It adds 298 tokens to every session, about $0.0012 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.
AI-Website-Audit-CLI AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| AI-Website-Audit-CLI AGENTS.mdTools2U/AI-Website-Audit-CLI | Instructions file | 64 | 5mo ago | MIT | A | 298 | 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 | today | 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 |