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/urmzd/dotfiles/configure-ainpx skills add urmzd/dotfiles --skill configure-aigit clone --depth 1 https://github.com/urmzd/dotfilesWrote 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/urmzd/dotfiles/configure-ai)<a href="https://agentmods.dev/skills/urmzd/dotfiles/configure-ai"><img src="https://agentmods.dev/badge/skills/urmzd/dotfiles/configure-ai.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 | $0.00129 | $0.00939 |
| Opus 5 | $0.00064 | $0.00469 |
| Sonnet 5 | $0.00026 | $0.00188 |
| Haiku 4.5 | $0.00013 | $0.00094 |
Grade A, and why
configure-ai 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 6d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Workflows
Specifications
| Convention | Spec |
|---|---|
| SKILL.md | Agent Skills Specification |
| AGENTS.md | agents.md Standard |
| llms.txt | llms.txt Specification |
Skills vs Docs
- Skills (
skills/<name>/SKILL.md) = executable agent instructions. How to do things (conventions, workflows, tool usage) - Docs (
docs/) = project documentation. What was decided and why (rfcs/, guides/, plans/, runbooks/, architecture/) - Both exist in every project; neither replaces the other
- Every repo should also have: README.md (humans) + AGENTS.md (AI) + llms.txt (LLM discovery)
- Root-level standard files (README, AGENTS.md, CONTRIBUTING, LICENSE, CODEOWNERS, llms.txt) stay at root; everything else goes in
docs/
AI Tools
| Tool | Usage |
|---|---|
| Claude Code (opus) | Primary AI coding assistant. Architecture, refactoring, multi-file edits |
| OpenAI Codex | workspace-write "Auto" base config with a guardian auto-reviewer; ships writer, reviewer, plan, and guardian profiles/agents |
| Google Antigravity CLI (agy) | Replaces legacy Gemini CLI; per-command allow/deny lists managed in-app via /permissions, --sandbox for terminal restrictions |
| GitHub Copilot | Inline completion plus settings.json (model, reasoning effort, theme) |
Claude Code Configuration
Claude Code is configured per-project via CLAUDE.md files at the repository root. These files define:
- Project context tech stack, directory structure, key patterns
- Coding conventions naming, formatting, commit style
- Behavioral rules what to avoid, how to handle edge cases
- Memory persistent notes stored in
.claude/directories
Best Practices
- Keep
CLAUDE.mdconcise; it's loaded into every conversation - Use separate memory files for detailed topic notes
- Reference project-specific tools and commands
- Define verification steps (build, test, lint)
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.
- 6d ago First seen · 79 lines · 129 tokens per session scan A d0b1721adcd6
configure-ai is a skill published in the GitHub repository urmzd/dotfiles (3 stars, last pushed 24d ago), licensed Apache-2.0. It adds 129 tokens to every session and 939 once invoked, about $0.0006 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.
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