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 skills add siviter-xyz/dot-agent --skill create-agents-mdgit clone --depth 1 https://github.com/siviter-xyz/dot-agentWrote 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/siviter-xyz/dot-agent/create-agents-md)<a href="https://agentmods.dev/skills/siviter-xyz/dot-agent/create-agents-md"><img src="https://agentmods.dev/badge/skills/siviter-xyz/dot-agent/create-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/skills/siviter-xyz/dot-agent/create-agents-md"><img src="https://agentmods.dev/badge/skills/siviter-xyz/dot-agent/create-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 | $0.00031 | $0.00462 |
| Opus 5 | $0.00015 | $0.00231 |
| Sonnet 5 | $0.00006 | $0.00092 |
| Haiku 4.5 | $0.00003 | $0.00046 |
Grade A, and why
create-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 9d 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.
What it actually says
Create AGENTS.md
Guide for creating AGENTS.md files for project-specific inline rules.
When to Use AGENTS.md
- Small, project-specific instructions that should be committed in the repo
- Folder-scoped rules for specific directories
- Package-specific instructions in monorepos
- Test-specific guidance in test directories
When NOT to Use AGENTS.md
- Reusable knowledge across projects → Use skills
- Large documentation → Use skills with references
- Complex workflows → Use skills with scripts
AGENTS.md Structure
AGENTS.md is a simple markdown file without metadata:
# Project Instructions
## Code Style
- Use TypeScript for all new files
- Prefer functional components in React
- Use snake_case for database columns
## Architecture
- Follow the repository pattern
- Keep business logic in service layers
Location
- Project root:
AGENTS.md– Primary, inline instructions and references for the whole project (commands, tech stack, testing, code style, architecture, safety boundaries). - Subdirectories:
subdirectory/AGENTS.md– Folder- or package-scoped instructions when local behavior meaningfully diverges from the root (e.g., a specific package, service, or test tree). - Nested support: Agents typically combine instructions from the closest
AGENTS.mdwith parent ones; keep root general and use nestedAGENTS.mdonly where you truly need more specific rules.
Best Practices
- Keep AGENTS.md files small and focused
- Use for project-specific conventions
- Prefer short, concrete references over long prose:
- Link to project docs, specs, and runbooks
- Point to example files or directories (e.g.,
see src/api/users.ts for canonical pattern) - Include the most important commands with exact CLI invocations
- Reference existing code examples when possible
- Update as project evolves
References
For detailed best practices, see references/best-practices.md.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 62 lines · 31 tokens per session scan A 42b3f544acab
create-agents-md is a skill published in the GitHub repository siviter-xyz/dot-agent (21 stars, last pushed 5mo ago), licensed MIT. It adds 31 tokens to every session and 462 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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