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 skills/pr-pm/prpm/creating-agents-mdnpx skills add pr-pm/prpm --skill creating-agents-mdgit clone --depth 1 https://github.com/pr-pm/prpmWrote 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/skills/pr-pm/prpm/creating-agents-md)<a href="https://agentmods.dev/skills/pr-pm/prpm/creating-agents-md"><img src="https://agentmods.dev/badge/skills/pr-pm/prpm/creating-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 | $0.00033 | $0.01852 |
| Opus 5 | $0.00016 | $0.00926 |
| Sonnet 5 | $0.00007 | $0.00370 |
| Haiku 4.5 | $0.00003 | $0.00185 |
Grade A, and why
creating-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 4d 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 — 323 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creating agents.md Files
Overview
The agents.md format provides project-specific context for AI coding assistants. It's the simplest format: plain markdown only with NO YAML frontmatter, NO special syntax.
CRITICAL:
- No frontmatter - Pure markdown only (no YAML)
- Free-form content - No required structure
- Single file - Typically
agents.mdin project root
Quick Reference
| Aspect | Requirement |
|---|---|
| Format | Plain markdown |
| Frontmatter | None (forbidden) |
| Structure | Free-form |
| File location | agents.md in project root |
Creating agents.md Files
Plain markdown with no frontmatter:
# TaskMaster Development Guide
## Project Overview
TaskMaster is a task management application for remote teams, built with real-time collaboration features and offline-first architecture.
## Architecture
### Frontend
- React 18 with TypeScript
- Vite for build tooling
- Zustand for state management
- React Query for server state
- Tailwind CSS for styling
### Backend
- Node.js with Express
- PostgreSQL with Prisma ORM
- WebSocket for real-time features
- Redis for caching and pub/sub
- JWT for authentication
## Coding Conventions
- Use TypeScript strict mode
- Functional components with hooks (no class components)
- Server components by default in Next.js
- Colocate tests with source files (*.test.tsx)
- Use Zod for runtime validation
## File Structure
\`\`\`
src/
components/ # Reusable UI components
features/ # Feature-based modules
hooks/ # Custom React hooks
lib/ # Utility functions
pages/ # Route pages
types/ # TypeScript types
\`\`\`
## Development Workflow
1. Create feature branch from `main`
2. Write tests first (TDD)
3. Implement feature
4. Run `pnpm test` and `pnpm lint`
5. Create PR with description
6. Merge after approval
## Testing
- Use Vitest for unit tests
- Use Playwright for E2E tests
- Aim for 80% coverage on new code
- Mock external dependencies
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.
- 4d ago First seen · 323 lines · 33 tokens per session scan A 7f01c30f1ad3
creating-agents-md is a skill published in the GitHub repository pr-pm/prpm (120 stars, last pushed 2mo ago), licensed MIT. It adds 33 tokens to every session and 1,852 once invoked, about $0.0002 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.
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