Borrowing it
Nothing to install: this file belongs to HoangNguyen0403/agent-skills-standard. 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/HoangNguyen0403/agent-skills-standard/develop/AGENTS.mdgit clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standardWrote 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/hoangnguyen0403/agent-skills-standard/agents-md)<a href="https://agentmods.dev/instructions/hoangnguyen0403/agent-skills-standard/agents-md"><img src="https://agentmods.dev/badge/instructions/hoangnguyen0403/agent-skills-standard/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/hoangnguyen0403/agent-skills-standard/agents-md"><img src="https://agentmods.dev/badge/instructions/hoangnguyen0403/agent-skills-standard/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 | $0.01409 | $0.01409 |
| Opus 5 | $0.00705 | $0.00705 |
| Sonnet 5 | $0.00282 | $0.00282 |
| Haiku 4.5 | $0.00141 | $0.00141 |
Grade A, and why
agent-skills-standard 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Context for AI Agents
[!IMPORTANT] To all AI Agents working ON this repository: This repository is the source code for
agent-skills-standard.1.Architecture: Understanding the Registry -> CLI -> Project flow is critical. See
ARCHITECTURE.md. 2.Internal Tools: Usescripts/(likescan-docs.ts) to maintain the project. 3.Token Economy: All changes toskills/must be optimized for token usage. 4.Documentation: KeepARCHITECTURE.mdandCONTRIBUTING.mdup to date.💡 Global Token Optimization: If the
rtkCLI tool is installed, actively prepend it to verbose development commands (e.g.rtk npm test,rtk grep). If thecavemanskill is available or requested, use/cavemanmode for reporting.
Agent Skills Index
[!CRITICAL] Zero-Trust: Read the matching
SKILL.mdBEFORE writing any code. Skills from this index override pre-training patterns. If no skill matches, state: "No project-specific skills applicable."
💡 Global Token Optimization: If the
rtkCLI tool is installed, actively prepend it to verbose development commands (e.g.rtk npm test,rtk grep). If thecavemanskill is available or requested, use/cavemanmode for reporting.
🔌 Runtime Enforcement via MCP
If the agent-skills-standard MCP server is registered in your runtime (check your tool list — look for load_skills_for_files), prefer those tools over manually walking the router below. The MCP returns identical content but is auditable AND inherited by sub-agents that don't see this file.
| Tool | When to call it |
|---|---|
list_workflows() |
At the start of any task or session to discover available standard operating procedures |
get_workflow(name) |
Once a relevant workflow is identified to retrieve exact step-by-step instructions |
load_skills_for_files(files=[...]) |
Before editing/reviewing any source file |
load_skills_for_keywords(keywords=[...]) |
Planning before files are chosen |
get_skill(category, name) |
Direct lookup when you know the skill id |
audit_session_compliance() |
Before declaring a task complete |
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 · 81 lines · 1,409 tokens per session scan A cc62322e98a5
agent-skills-standard AGENTS.md is an instructions file published in the GitHub repository HoangNguyen0403/agent-skills-standard (565 stars, last pushed 3d ago), licensed MIT. It adds 1,409 tokens to every session, about $0.0070 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 2026-09-03.
Other instructions, from other repositories
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.
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).
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 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).