Borrowing it
Nothing to install: this file belongs to Tyler-R-Kendrick/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/Tyler-R-Kendrick/agent-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/Tyler-R-Kendrick/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/tyler-r-kendrick/agent-skills/agents-md)<a href="https://agentmods.dev/instructions/tyler-r-kendrick/agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/tyler-r-kendrick/agent-skills/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/tyler-r-kendrick/agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/tyler-r-kendrick/agent-skills/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 | $0.05499 | $0.05499 |
| Opus 5 | $0.02750 | $0.02750 |
| Sonnet 5 | $0.01100 | $0.01100 |
| Haiku 4.5 | $0.00550 | $0.00550 |
Grade A, and why
agent-skills AGENTS.md scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| `tools` | Development tools and CLI utilities | bash, git, docker, jq, curl, ssh | How it starts
The opening of the file, as written. The whole thing — 635 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Contributor Guidance
Comprehensive guidance for AI agents and human contributors creating, maintaining, and extending skills in this repository.
Repository Overview
This repository contains 389 skills organized into 14 top-level categories. Each skill is a self-contained directory with a SKILL.md definition file and generated companion files.
Skill Categories
| Category | Purpose | Example Skills |
|---|---|---|
ai |
Agent protocols, AI/LLM interop standards | mcp, a2a, acp, x402, agent-skills |
design-system |
Design tokens, component libraries, design-to-code | figma, storybook, design-tokens, style-dictionary |
dev |
Core development knowledge (architecture, algorithms, patterns) | microservices, clean-code, authentication, api-design |
devcontainer |
Dev container configurations for various stacks | python, typescript, dotnet, docker-in-docker |
dotnet |
.NET/C# ecosystem libraries and frameworks | aspire, polly, blazor, entity-framework, serilog |
iac |
Infrastructure-as-code and cloud provisioning | terraform, kubernetes, docker, helm, pulumi |
legal |
Legal and compliance topics | privacy-data-protection, open-source-licensing, ai-regulation |
python |
Python ecosystem, packages, and tooling | fastapi, pydantic, langchain, pytest, pandas |
security |
Application and AI security | owasp, threat-modeling, cryptography, supply-chain |
specs |
Specification, documentation, and diagramming | mermaidjs, plantuml, adr, prd, gherkin |
testing |
Testing strategies and methodologies | unit-testing, e2e-testing, contract-testing, chaos-testing |
tools |
Development tools and CLI utilities | bash, git, docker, jq, curl, ssh |
typescript |
TypeScript/Node.js ecosystem and packages | react, nextjs, zod, prisma, rxjs, redux |
Hierarchy Model
Skills use a 2-3 level nesting hierarchy:
skills/
{category}/ # Level 1: broad domain
SKILL.md # Category overview + navigation
{subcategory}/ # Level 2: topic grouping
SKILL.md # Subcategory overview
{skill}/ # Level 3: specific skill
SKILL.md # Deep technical content
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.
- 10d ago First seen · 635 lines · 5,499 tokens per session scan A 6817482ee19f
agent-skills AGENTS.md is an instructions file published in the GitHub repository Tyler-R-Kendrick/agent-skills (11 stars, last pushed 3mo ago), licensed MIT. It adds 5,499 tokens to every session, about $0.0275 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). 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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.