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/ronjunevaldoz/kmp-agent-skillsWrote 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/agents/ronjunevaldoz/kmp-agent-skills/fixer)<a href="https://agentmods.dev/agents/ronjunevaldoz/kmp-agent-skills/fixer"><img src="https://agentmods.dev/badge/agents/ronjunevaldoz/kmp-agent-skills/fixer/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/agents/ronjunevaldoz/kmp-agent-skills/fixer"><img src="https://agentmods.dev/badge/agents/ronjunevaldoz/kmp-agent-skills/fixer.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 | $0.00017 | $0.00089 |
| Opus 5.5 | $0.00007 | $0.00036 |
| Sonnet 5.5 | $0.00003 | $0.00018 |
| Haiku 4.5 | $0.00002 | $0.00009 |
Grade A, and why
fixer 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 29d 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.
- 29d ago Changed · -382 lines · +17 tokens per session 3a90fd053920
- 1mo ago First seen · 393 lines · 0 tokens per session scan A 52bbfb96722d
fixer is an agent published in the GitHub repository ronjunevaldoz/kmp-agent-skills (3 stars, last pushed 2d ago), with no licence file. It adds 17 tokens to every session and 89 once invoked, about $0.0001 per session on Opus 5.5. 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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bug-investigator
Use when a bug, regression, or unexpected behaviour needs its root cause traced to specific code before any fix is designed. Investigates only — never edits files. Returns a structured report citing file:line evidence.
learnship-debugger
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error_fixer
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reality-checker
Validates task files against codebase reality: file/function existence, feasibility, hallucinations, basic security, TDD adequacy, implementation hints accuracy. Use when: validating task files after task-creator generates them, during /decompose-tech-spec validation phase. Not for: template compliance…
performance-optimizer
Performance analysis and optimization specialist. Use PROACTIVELY for bottlenecks, slow code, bundle sizes, and runtime performance.