agentmods.dev

AI-Website-Audit-CLI AGENTS.md

Repository instructions for AI coding agents working on a command-line website-audit tool. They describe the project’s purpose, contribution rules, commands, testing expectations, and privacy limits.

In plain words
What is it for?
Use them to guide development, testing, OpenAI API changes, command-line work, and contributions to the website-audit project.
Why use it?
They give an agent the project context and boundaries it needs to make changes that fit the codebase and avoid exposing private data.

Instructions file for CodexOpenCode

59 2mo ago A scan 298 tokens original MIT
View the source file Tools2U/AI-Website-Audit-CLI
Install

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.

agentmods
npx agentmods add instructions/tools2u/ai-website-audit-cli/agents-md
Clone the repo
git clone --depth 1 https://github.com/Tools2U/AI-Website-Audit-CLI

Made for: Codex, OpenCode.

Per session 298 This file is loaded in full into every session.
When invoked 298 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00298 $0.00298
Opus 5 $0.00149 $0.00149
Sonnet 5 $0.00060 $0.00060
Haiku 4.5 $0.00030 $0.00030

Measured 2d ago against content hash 9f501fd86a98, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 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.

AGENTS.md · 36 lines

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 in src/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.
Changes

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.

  1. 2d ago First seen · 36 lines · 298 tokens per session scan A 9f501fd86a98

Subscribe to this mod's changes

AI-Website-Audit-CLI AGENTS.md is an instructions file published in the GitHub repository Tools2U/AI-Website-Audit-CLI (59 stars, last pushed 2mo ago), licensed MIT. It adds 298 tokens to every session, about $0.0015 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.

Backend and APIsLanguagesTestingaccessibilityaiauditautomationclideveloper
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