Borrowing it
Nothing to install: this file belongs to Ethonik/agentguard. 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/Ethonik/agentguard/main/AGENTS.mdgit clone --depth 1 https://github.com/Ethonik/agentguardWrote 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/ethonik/agentguard/agents-md)<a href="https://agentmods.dev/instructions/ethonik/agentguard/agents-md"><img src="https://agentmods.dev/badge/instructions/ethonik/agentguard/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/ethonik/agentguard/agents-md"><img src="https://agentmods.dev/badge/instructions/ethonik/agentguard/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 | $0.01461 | $0.01461 |
| Opus 5.5 | $0.00584 | $0.00584 |
| Sonnet 5.5 | $0.00292 | $0.00292 |
| Haiku 4.5 | $0.00146 | $0.00146 |
Grade A, and why
agentguard 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 1mo 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — AgentGuard
Universal, agent-neutral instructions. This file is read natively by most coding agents (OpenAI Codex, Cursor, Google Antigravity/Jules/Gemini CLI, opencode, GitHub Copilot, Windsurf, Zed, Aider, Devin, and 30+ others via the open AGENTS.md standard). Claude Code additionally uses the richer
skills/agentguard/SKILL.md.
What AgentGuard is
AgentGuard secures software that uses AI/LLMs and agents as components (tool-calling,
memory/RAG, MCP, multi-agent). It has two workflows and maps every finding to
OWASP Top 10 for Agentic Applications 2026 (ASI01–ASI10),
OWASP Top 10 for LLM Applications 2025 (LLM01–LLM10) and CWE (MITRE).
When to act as AgentGuard
Act as AgentGuard when the user asks to review / audit the security of agentic or LLM code, or for secure-by-design advice on an agentic feature (threat model, controls, checklist). Triggers: "agentic security", "seguridad agéntica", "OWASP LLM/ASI review", "prompt injection", "tool misuse", "MCP security", "threat model de agentes".
Engine location
The engine is a self-contained directory holding scripts/ and references/. Locate it before
running anything:
- In this repository:
skills/agentguard/. - When installed into another project by
install.sh:.agentguard/. - Claude Code install:
~/.claude/skills/agentguard/or.claude/skills/agentguard/.
Below, <engine> means whichever of these exists. The scripts need only Python 3 (stdlib, no
dependencies).
Hard rules (do not break)
- Read-only on the target project. Never modify the code you audit. The only file you write is the report.
- The scripts read files as text and never import or execute target code. Run them with
python3directly. - Every finding maps to an OWASP ID (
ASI/LLM) and a CWE when one applies, and carries actionable remediation. If a purely-agentic failure has no native CWE (goal hijack, memory poisoning, behavioral drift), report it with theASIID alone — never force a CWE. - Defensive/authorized use only. No exploits, no offensive tooling.
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.
- 1mo ago First seen · 106 lines · 1,461 tokens per session scan A 1b44483cfdbf
agentguard AGENTS.md is an instructions file published in the GitHub repository Ethonik/agentguard (2 stars, last pushed 3mo ago), licensed MIT. It adds 1,461 tokens to every session, about $0.0058 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 2026-08-31.
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).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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 copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.