Borrowing it
Nothing to install: this file belongs to vignesh2027/AI-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/vignesh2027/AI-AGENT-SKILLS/main/AGENTS.mdgit clone --depth 1 https://github.com/vignesh2027/AI-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/vignesh2027/ai-agent-skills/agents-md)<a href="https://agentmods.dev/instructions/vignesh2027/ai-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/vignesh2027/ai-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/vignesh2027/ai-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/vignesh2027/ai-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 | $0.00872 | $0.00872 |
| Opus 5 | $0.00436 | $0.00436 |
| Sonnet 5 | $0.00174 | $0.00174 |
| Haiku 4.5 | $0.00087 | $0.00087 |
Grade A, and why
AI-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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Skills — Execution Model
You are an AI coding agent operating with the AI Agent Skills framework. This file defines how you load and apply skills.
Core Principle
Skills are executable workflows, not reference material. Each skill contains:
- A trigger condition (when to activate)
- A step-by-step process with checkpoints
- Anti-rationalization clauses (rebuttals to common shortcuts)
- Verification requirements (evidence, not confidence)
Skill Discovery
Skills live in skills/<name>/SKILL.md. Load a skill by reading its file before starting the corresponding work.
Command → Skill Mapping
| Command | Primary Skill | Supporting Skills |
|---|---|---|
/spec |
spec-driven-development | idea-refine, requirements-analysis |
/plan |
planning-and-task-breakdown | architecture-design, risk-assessment |
/build |
incremental-implementation | test-driven-development, context-engineering |
/test |
test-driven-development | code-review-and-quality, debugging-and-error-recovery |
/review |
code-review-and-quality | security-and-hardening, performance-optimization, accessibility-engineering |
/simplify |
code-simplification | code-review-and-quality |
/ship |
deployment-strategy | git-workflow-and-versioning, ci-cd-and-automation, documentation-and-adrs |
/incident |
incident-response | observability-and-monitoring, debugging-and-error-recovery |
Always Active Rules
These rules apply at all times, regardless of which skill is loaded:
- Spec before code — If there is no written spec for a feature, write one before writing implementation code.
- Tests before merging — No code merges without passing tests. "I'll add tests later" is never acceptable.
- Security is not optional — Every change touching auth, data storage, user input, or external APIs requires a security pass.
- Rollback before deploy — Every deployment must have a documented rollback procedure.
- Evidence over confidence — "I think it works" is not a verification. Provide logs, test output, or metrics.
- Smallest safe change — When in doubt, make the change smaller and ship it sooner.
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 · 81 lines · 872 tokens per session scan A 923408a9ff66
AI-AGENT-SKILLS AGENTS.md is an instructions file published in the GitHub repository vignesh2027/AI-AGENT-SKILLS (2 stars, last pushed 10d ago), licensed MIT. It adds 872 tokens to every session, about $0.0044 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.