Spec Kitty is an open-source command-line tool that turns product requirements into a repository-based workflow for AI-assisted software development. It stores specifications, plans, tasks, acceptance criteria, reviews, and merge decisions in Git while giving agents isolated git worktrees for parallel implementation. The catalogue add-ons support the project's workflows for coordinating agents and governing their work.
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 Priivacy-ai/spec-kitty --skill spk-admin-setup-doctorgit clone --depth 1 https://github.com/Priivacy-ai/spec-kittyWrote 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/priivacy-ai/spec-kitty/spk-admin-setup-doctor)<a href="https://agentmods.dev/skills/priivacy-ai/spec-kitty/spk-admin-setup-doctor"><img src="https://agentmods.dev/badge/skills/priivacy-ai/spec-kitty/spk-admin-setup-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/skills/priivacy-ai/spec-kitty/spk-admin-setup-doctor"><img src="https://agentmods.dev/badge/skills/priivacy-ai/spec-kitty/spk-admin-setup-doctor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00148 |
| Opus 5 | $0.00015 | $0.00074 |
| Sonnet 5 | $0.00006 | $0.00030 |
| Haiku 4.5 | $0.00003 | $0.00015 |
Grade A, and why
spk-admin-setup-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 13d 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
spk-admin-setup-doctor
Use this skill when Spec Kitty is missing commands, skills, runtime files, agent config, or expected local behavior.
Flow
- Run the setup or doctor command appropriate to the install.
- Verify slash commands and skills exist for the active agent surface.
- Repair generated command skills before editing installed copies by hand.
- Use setup references to diagnose common failures.
Legacy Alias
For detailed diagnostics and path matrices, use spec-kitty-setup-doctor when
available.
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.
- 13d ago First seen · 22 lines · 31 tokens per session scan A 9a0be9f10226
spk-admin-setup-doctor is a skill published in the GitHub repository Priivacy-ai/spec-kitty (1,603 stars, last pushed 5d ago), licensed MIT. It adds 31 tokens to every session and 148 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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