Borrowing it
Nothing to install: this file belongs to TalEliyahu/Awesome-AI-Security. 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/TalEliyahu/Awesome-AI-Security/main/AGENTS.mdgit clone --depth 1 https://github.com/TalEliyahu/Awesome-AI-SecurityWrote 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/taleliyahu/awesome-ai-security/agents-md)<a href="https://agentmods.dev/instructions/taleliyahu/awesome-ai-security/agents-md"><img src="https://agentmods.dev/badge/instructions/taleliyahu/awesome-ai-security/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/taleliyahu/awesome-ai-security/agents-md"><img src="https://agentmods.dev/badge/instructions/taleliyahu/awesome-ai-security/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 | $0.00759 | $0.00759 |
| Opus 5 | $0.00380 | $0.00380 |
| Sonnet 5 | $0.00152 | $0.00152 |
| Haiku 4.5 | $0.00076 | $0.00076 |
Grade A, and why
Awesome-AI-Security 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This repo is a curated Markdown list of resources, research, and tools for securing AI systems. Keep entries accurate, neutral, and consistently formatted. No builds, no deps, no CI edits.
Scope
- ✅ Edit
README.mdentries, anchors, and section ordering. - ❌ Don’t add dependencies/tools or touch repo settings.
- Precedence: if a subfolder ever has its own
AGENTS.md, the closest file to what you edit wins.
House style (must)
- One-line entries. Use:
- [Name](https://link) — short, neutral description. - Separator: en dash
—(not a hyphen) between link and description. - Tone: Neutral, factual, vendor-agnostic. No marketing fluff.
- Casing: Keep official project names/caps as published.
- Images: Do not add decorative graphics.
- Sections: Use the canonical labels; don’t invent new ones.
GitHub stars (when used)
Use a social stars badge for GitHub repos where stars are requested.
- [Project — @owner](https://github.com/owner/repo) [](https://github.com/owner/repo) — <≤25-word neutral description>.
Sorting
- If a subsection says “sort by stars” → descending by star count.
- Otherwise → alphabetical by project name.
Conflicts
- If guidance conflicts,
README.mdis the content source of truth; AGENTS.md governs how to edit it (style, sorting, safety).
Dead links
- Prefer official/canonical replacements.
- If a project is archived/unmaintained, remove it or mark “(archived)” with the date.
- Avoid non-official mirrors unless the upstream is permanently gone.
PR title format
[section] <short purpose>; examples:[tools] add LLMFuzzer + stars[matrices] update AIDEFEND description
Canonical section labels (use exactly)
- Incident Repositories, Trackers & Monitors
- Third-Party Assessment (replaces “Vendor Risk & TPRM”)
- Research Feed (not “Index”)
- Attack & Defense Matrices → subsections Attack / Defense
- Agentic Systems — Governance, Standards & Guides
- Standards & Specs (under Supply Chain Security)
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 First seen · 75 lines · 759 tokens per session scan A 4b4839390505
Awesome-AI-Security AGENTS.md is an instructions file published in the GitHub repository TalEliyahu/Awesome-AI-Security (864 stars, last pushed 1mo ago), licensed MIT. It adds 759 tokens to every session, about $0.0038 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.
Other instructions, from other repositories
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.