Borrowing it
Nothing to install: this file belongs to dimasrahmandaalfarizi/Awesome-AI-Tools. 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/dimasrahmandaalfarizi/Awesome-AI-Tools/main/AGENTS.mdgit clone --depth 1 https://github.com/dimasrahmandaalfarizi/Awesome-AI-ToolsWrote 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/dimasrahmandaalfarizi/awesome-ai-tools/agents-md)<a href="https://agentmods.dev/instructions/dimasrahmandaalfarizi/awesome-ai-tools/agents-md"><img src="https://agentmods.dev/badge/instructions/dimasrahmandaalfarizi/awesome-ai-tools/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/dimasrahmandaalfarizi/awesome-ai-tools/agents-md"><img src="https://agentmods.dev/badge/instructions/dimasrahmandaalfarizi/awesome-ai-tools/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 | $0.00302 | $0.00302 |
| Opus 5 | $0.00151 | $0.00151 |
| Sonnet 5 | $0.00060 | $0.00060 |
| Haiku 4.5 | $0.00030 | $0.00030 |
Grade A, and why
Awesome-AI-Tools 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 12d 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
Universal AI Agent Guidelines, Skills & Personas Suite
This repository is equipped with 2582 AI Skills, 68 AI Subagents, and 4 Composite Workflows.
Multi-Agent Workflows:
/review: Multi-Agent Code & Security Review — Orchestrates a 2-stage fresh-context review: first audits security vulnerabilities with AgentShield, then verifies code logic, race conditions, and standards./tdd: Autonomous TDD Cycle — Strict Red-Green-Refactor cycle: writes failing unit tests first, implements the minimal passing code, and safely refactors with test coverage protection./compact: Context Compaction & Token Garbage Collection — Summarizes active conversation history, clears redundant tokens, and extracts key codebase instincts to prevent context degradation./council: Multi-Model Council Deliberation — Evaluates difficult architectural decisions across multiple reasoning perspectives before writing implementation code.
Triggering Skills:
- Claude Code CLI / Continue: Type
/<command>(e.g./tdd,/review,/tdd-workflow) - Cursor IDE: Mention
@<command>in Chat - Antigravity / Codex: Auto-loaded from
.agents/skills/and.agents/subagents/
Continuous Learning:
Memory & rules are stored in instincts.md. Add new rules via npx awesome-ai-tools learn "<rule>".
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.
- 12d ago First seen · 18 lines · 302 tokens per session scan A 58db1e7e584d
Awesome-AI-Tools AGENTS.md is an instructions file published in the GitHub repository dimasrahmandaalfarizi/Awesome-AI-Tools (2 stars, last pushed 12d ago), licensed MIT. It adds 302 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 2026-08-31.
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