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.
git clone --depth 1 https://github.com/onfire7777/universal-ai-skills-libraryWrote 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/commands/onfire7777/universal-ai-skills-library/doctor)<a href="https://agentmods.dev/commands/onfire7777/universal-ai-skills-library/doctor"><img src="https://agentmods.dev/badge/commands/onfire7777/universal-ai-skills-library/doctor/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/commands/onfire7777/universal-ai-skills-library/doctor"><img src="https://agentmods.dev/badge/commands/onfire7777/universal-ai-skills-library/doctor.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 | $0.00000 | $0.00044 |
| Opus 5.5 | $0.00000 | $0.00018 |
| Sonnet 5.5 | $0.00000 | $0.00009 |
| Haiku 4.5 | $0.00000 | $0.00004 |
Grade A, and why
doctor 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 1mo 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
/doctor
Run the local universal AI setup health check.
skill-router doctor
Use this before broad setup changes, plugin changes, MCP bridge changes, or when local AI tooling appears inconsistent.
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.
- 1mo ago First seen · 11 lines · 0 tokens per session scan A 0d81214e528a
doctor is a command published in the GitHub repository onfire7777/universal-ai-skills-library (16 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 44 tokens. 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.
Other commands, from other repositories
greet
Generate contextual agent greeting using GreetingBuilder infrastructure.
hatch3r-workflow
Guided development lifecycle with 4 phases (Analyze, Plan, Implement, Review) and scale-adaptive Quick Mode for small tasks; --plan-file executes an approved plan document without re-deriving it.
hatch3r-refactor-plan
Plan a refactoring or migration effort -- spawn parallel researchers, produce refactoring spec, ADR(s), and phased todo.md entries for board-fill.
hatch3r-benchmark
Run and analyze performance benchmarks. Compare results against baselines, identify regressions, and produce performance reports.
create-task-list.template
This prompt was authored for Claude-style slash workflows. In Codex runtime, adapt tool calls as follows.
adopt-roadmap.template
This prompt was authored for Claude-style slash workflows. In Codex runtime, adapt tool calls as follows.