Borrowing it
Nothing to install: this file belongs to SurajGThakkar/agent-skills. 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/SurajGThakkar/agent-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/SurajGThakkar/agent-skillsWrote 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/surajgthakkar/agent-skills/agents-md)<a href="https://agentmods.dev/instructions/surajgthakkar/agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/surajgthakkar/agent-skills/agents-md.svg" alt="Measured on agentmods" 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 | $0.00560 | $0.00560 |
| Opus 5 | $0.00280 | $0.00280 |
| Sonnet 5 | $0.00112 | $0.00112 |
| Haiku 4.5 | $0.00056 | $0.00056 |
Grade A, and why
agent-skills 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 8d 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 — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Agent Skills Schema
Owner: Suraj Thakkar | Repository: agent-skills
This repository houses a curated, modular collection of agent skills. The LLM maintains, enhances, and builds upon these skills to extend its own capabilities.
This file is the operational contract for AI agents traversing or modifying this repository. Be Bespoke, Succinct & Holistic.
1. Structure
Skills are categorized under skills/:
agent-ops/— Meta-skills for adapting and expanding agent capabilities.engineering/— Architectural alignment and engineering disciplines.knowledge-management/— Obsidian-native integrations and wiki maintenance.productivity/— Workflows for learning and personal development.assets/— Shared resources and global scripts.
2. Skill Conventions
- Isolation: Each skill resides in its own subfolder (e.g.,
skills/knowledge-management/obsidian-cli/). - The SKILL.md: This is the execution entry point. It must contain YAML frontmatter (
nameanddescription). - Lean Core: Keep
SKILL.mdunder 500 lines. Offload complexity intoscripts/,examples/,resources/, orreferences/subdirectories within the skill folder. - Bespoke & Succinct: Instructions must be hyper-specific to the use case. Avoid generic platitudes.
- Holistic Design: Ensure a skill's inputs and outputs integrate cleanly with broader workflows (e.g., Obsidian Second Brain).
3. Registration
When creating or promoting a new skill, you must:
- Add an entry in
skills.sh.jsonunder the appropriate category group. - Link the skill's
SKILL.mdin the top-levelREADME.mdalongside a one-line description.
Note: Unregistered skills are considered orphaned and will not be loaded.
4. Operating Rules
- Read before writing: Always read a skill's
SKILL.mdand theskills.sh.jsonregistry before making structural changes. - Deterministic execution: Automations and scripts do the heavy lifting; the LLM focuses on judgment, synthesis, and planning.
- Constraint Adherence: Treat any negative constraint in a skill (e.g., "never edit this directly") as an absolute boundary. No lazy assumptions.
- Do no harm: Never break existing skill integrations when refactoring. Ensure backward compatibility with existing vault workflows.
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.
- 8d ago First seen · 47 lines · 560 tokens per session scan A 61cdb3b891d3
agent-skills AGENTS.md is an instructions file published in the GitHub repository SurajGThakkar/agent-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 560 tokens to every session, about $0.0028 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
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.