Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/ishandutta2007/awesome-agent-skills/agents-mdgit clone --depth 1 https://github.com/ishandutta2007/Awesome-Agent-SkillsWhat 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 | $0.01625 | $0.01625 |
| Opus 5 | $0.00813 | $0.00813 |
| Sonnet 5 | $0.00325 | $0.00325 |
| Haiku 4.5 | $0.00162 | $0.00162 |
Grade A, and why
Awesome-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 yesterday.
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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to AI coding agents (Claude Code, Cursor, Copilot, Antigravity, etc.) when working with code in this repository.
Repository Overview
A collection of Awesome AI Skills for Claude.ai and Claude Code for senior software engineers. Awesome AI Skills are packaged instructions and scripts that extend Claude and your coding agents capabilities.
OpenCode Integration
OpenCode uses a skill-driven execution model powered by the skill tool and this repository's /skills directory.
Core Rules
- If a task matches a skill, you MUST invoke it
- Skills are located in
skills/<skill-name>/SKILL.md - Never implement directly if a skill applies
- Always follow the skill instructions exactly (do not partially apply them)
Intent → Skill Mapping
The agent should automatically map user intent to skills:
- Feature / new functionality →
spec-driven-development, thenincremental-implementation,test-driven-development - Planning / breakdown →
planning-and-task-breakdown - Bug / failure / unexpected behavior →
debugging-and-error-recovery - Code review →
code-review-and-quality - Workflow reconstruction / learning from past shipped work →
ax-extract-workflow - Refactoring / simplification →
code-simplification - API or interface design →
api-and-interface-design - UI work →
frontend-ui-engineering
Lifecycle Mapping (Implicit Commands)
OpenCode does not support slash commands like /spec or /plan.
Instead, the agent must internally follow this lifecycle:
- DEFINE →
spec-driven-development - PLAN →
planning-and-task-breakdown - BUILD →
incremental-implementation+test-driven-development - VERIFY →
debugging-and-error-recovery - REVIEW →
code-review-and-quality - SHIP →
shipping-and-launch
Execution Model
For every request:
- Determine if any skill applies (even 1% chance)
- Invoke the appropriate skill using the
skilltool - Follow the skill workflow strictly
- Only proceed to implementation after required steps (spec, plan, etc.) are 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.
- yesterday First seen · 191 lines · 1,625 tokens per session scan A e0b67530ecc4
Awesome-Agent-Skills AGENTS.md is an instructions file published in the GitHub repository ishandutta2007/Awesome-Agent-Skills (20 stars, last pushed 22d ago), licensed MIT. It adds 1,625 tokens to every session, about $0.0081 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 2026-08-30.
Other instructions, from other repositories
awesome-openclaw-usecases-zh AGENTS.md
Instructions for AlexAnys/awesome-openclaw-usecases-zh, covering agents.md, 仓库定位, 你正在用哪个 agent？（quick start）, openclaw（原生） and hermes（nous research）.
awesome-openclaw-usecases-zh CLAUDE.md
Instructions for AlexAnys/awesome-openclaw-usecases-zh, a project described as: 🇨🇳 OpenClaw中文用例大全 | 50个真实场景 | 国内特色 + 海外案例的国内适配 | 自动化办公·内容创作·运维·AI助理·知识管理 | 新手友好.
awesome-spain CLAUDE.md
Instructions for GeiserX/awesome-spain, covering claude.md — awesome-spain, objetivo, criterios de inclusión, sí incluir and no incluir.
toolsdk-mcp-registry AGENTS.md
AGENTS.md instructions for toolsdk-ai/toolsdk-mcp-registry: When reviewing or merging registry pull requests, follow docs/PRREVIEW.md. Use .agents/skills/check-mcp-json/SKILL.md for the reusable review, repair, and squash-merge workflow and its read-only helper scripts.
awesome-rss-feeds-list AGENTS.md
Instructions for xiangyugongzuoliu/awesome-rss-feeds-list, covering agents.md, build & test, code style and boundaries.
awesome-rss-feeds-list CLAUDE.md
Instructions for xiangyugongzuoliu/awesome-rss-feeds-list, covering awesome-rss-feeds-list, 结构, 贡献 and 协议.