Borrowing it
Nothing to install: this file belongs to miptah21/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/miptah21/skills/main/AGENTS.mdgit clone --depth 1 https://github.com/miptah21/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/miptah21/skills/agents-md)<a href="https://agentmods.dev/instructions/miptah21/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/miptah21/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 | $0.02545 | $0.02545 |
| Opus 5 | $0.01273 | $0.01273 |
| Sonnet 5 | $0.00509 | $0.00509 |
| Haiku 4.5 | $0.00254 | $0.00254 |
Grade C, and why
skills AGENTS.md scanned grade C 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 2d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
- **Compliance Bypass Comments:** Highly cohesive files or visual templates that intentionally exceed default limits (such as `SKILL.md` size constraints or raw text i18n checks) may use comments like `<!-- i18n-ignore - How it starts
The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Antigravity AGENTS.md
Project Overview
This repository is a comprehensive Agentic Engineering Skills Library — a curated collection of 119 specialized AI agent skills compatible with modern AI coding assistants (Antigravity, Claude Code, Cursor, Cline, Codex, etc.). Skills cover the full engineering stack: data engineering (dbt, Airflow, Snowflake), frontend (React, Next.js), financial analysis, document generation, DevOps, and more.
Core Agent Behavior & Interaction
- Progressive Disclosure: Do not assume context. When interacting with this repository, always rely on the specialized skills stored in
.agents/skills/. Read theSKILL.mdof the relevant skill before executing complex tasks. - Methodology Coexistence: Alternative development methodologies (e.g., Superpowers, Karpathy Guidelines) are allowed to coexist alongside default skills to offer flexibility. Keep overlapping skills cleanly separated in their respective directories and metadata categories (e.g., the dedicated
"superpowers"category). - Modularity: Treat agent skills as code. Maintain separation of concerns between deterministic tasks (e.g., executing Python scripts) and LLM-driven reasoning.
- Shared Vocabulary: Read
.agents/skills/CONTEXT.mdfor domain terms, architecture context, and coding conventions.
Phase 0 — Intent Gate (EVERY message)
Before doing anything, classify the request:
| Type | Signal | Action |
|---|---|---|
| Trivial | Single file, known location, direct answer | Execute directly |
| Explicit | Specific file/line, clear command | Execute directly |
| Exploratory | "How does X work?", "Find Y" | Research first |
| Open-ended | "Improve", "Refactor", "Add feature" | Assess codebase first |
| Ambiguous | Unclear scope, multiple interpretations | Ask ONE clarifying question |
Ambiguity Check
| Situation | Action |
|---|---|
| Single valid interpretation | Proceed |
| Multiple interpretations, similar effort | Proceed with default, note assumption |
| Multiple interpretations, 2x+ effort difference | MUST ask |
| Missing critical info | MUST ask |
| User's design seems flawed | MUST raise concern before implementing |
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.
- 2d ago First seen · 126 lines · 2,545 tokens per session scan C 6b74eb7439af
skills AGENTS.md is an instructions file published in the GitHub repository miptah21/skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 2,545 tokens to every session, about $0.0127 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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.