Borrowing it
Nothing to install: this file belongs to liatrio-labs/ai-prompts. 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/liatrio-labs/ai-prompts/main/AGENTS.mdgit clone --depth 1 https://github.com/liatrio-labs/ai-promptsWrote 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/liatrio-labs/ai-prompts/agents-md)<a href="https://agentmods.dev/instructions/liatrio-labs/ai-prompts/agents-md"><img src="https://agentmods.dev/badge/instructions/liatrio-labs/ai-prompts/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/liatrio-labs/ai-prompts/agents-md"><img src="https://agentmods.dev/badge/instructions/liatrio-labs/ai-prompts/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 | $0.00283 | $0.00283 |
| Opus 5 | $0.00142 | $0.00142 |
| Sonnet 5 | $0.00057 | $0.00057 |
| Haiku 4.5 | $0.00028 | $0.00028 |
Grade A, and why
ai-prompts 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.
What it actually says
AI Agent Instructions
Context Marker
Always begin your response with all active emoji markers, in the order they were introduced.
Format: "\n"
The marker for this instruction is: 🤖
Local Skill Scripts
Use these local scripts when creating or updating skills in this repository.
Prefer running commands from the repository root with uv run.
Standard Workflow
- Initialize a skill scaffold.
- Update
SKILL.mdand any skill resources. - Generate or refresh
agents/openai.yamlwhen needed. - Validate the skill folder.
# Initialize
uv run scripts/init_skill.py my-skill --path skills --resources scripts,references --examples
# Generate/refresh agents/openai.yaml
uv run scripts/generate_openai_yaml.py skills/my-skill
# Validate
uv run scripts/quick_validate.py skills/my-skill
If validation reports Description must be a string, got list, update the description: value in SKILL.md frontmatter to a quoted YAML string.
Documentation Drift Guardrail
Treat skills/*/SKILL.md as the canonical source for skill inventory.
When adding, removing, or renaming skills, keep repository docs in sync and run:
python scripts/check_docs_drift.py
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 · 46 lines · 283 tokens per session scan A ddce34354d3a
ai-prompts AGENTS.md is an instructions file published in the GitHub repository liatrio-labs/ai-prompts (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 283 tokens to every session, about $0.0014 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.
Other instructions, from other repositories
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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
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vscode buildNext.instructions.md
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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.
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.