Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ronjunevaldoz/kmp-agent-skillsnpx agentmods add commands/ronjunevaldoz/kmp-agent-skills/kmp-doctorWrote 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/ronjunevaldoz/kmp-agent-skills/kmp-doctor)<a href="https://agentmods.dev/commands/ronjunevaldoz/kmp-agent-skills/kmp-doctor"><img src="https://agentmods.dev/badge/commands/ronjunevaldoz/kmp-agent-skills/kmp-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/ronjunevaldoz/kmp-agent-skills/kmp-doctor"><img src="https://agentmods.dev/badge/commands/ronjunevaldoz/kmp-agent-skills/kmp-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 | $0.00030 | $0.00203 |
| Opus 5 | $0.00015 | $0.00102 |
| Sonnet 5 | $0.00006 | $0.00041 |
| Haiku 4.5 | $0.00003 | $0.00020 |
Grade A, and why
kmp-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 11d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 11d ago First seen · 19 lines · 30 tokens per session scan A 6458aa9757b3
kmp-doctor is a command published in the GitHub repository ronjunevaldoz/kmp-agent-skills (2 stars, last pushed today), with no licence file. It adds 30 tokens to every session and 203 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 2026-08-31.
Other commands, from other repositories
spawn
Spawn a worker agent session in a registered project. The session runs the chosen agent in a fresh git worktree. Register the project first with ao project add.
update-github
Commit changes with Conventional Commits format and push to GitHub remote repository.
create_project
Create a new project from template with uv and Git initialization.
ds
A command that explicitly sends a coding task to a DeepSeek sub-agent, an additional AI worker, instead of letting the main agent decide whether to delegate it.
review
Unified review orchestrator — detect changes, dispatch reviewers, validate findings, optionally post GitHub inline comments.
clean
Clean up stale worker session dirs (running-but-dead), leftover worktree artifacts, and optionally old finished sessions.