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/runxhq/runx/skill-labnpx skills add runxhq/runx --skill skill-labgit clone --depth 1 https://github.com/runxhq/runxWrote 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/runxhq/runx/skill-lab)<a href="https://agentmods.dev/skills/runxhq/runx/skill-lab"><img src="https://agentmods.dev/badge/skills/runxhq/runx/skill-lab.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 | $0.00072 | $0.07879 |
| Opus 5 | $0.00036 | $0.03939 |
| Sonnet 5 | $0.00014 | $0.01576 |
| Haiku 4.5 | $0.00007 | $0.00788 |
Grade A, and why
skill-lab 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 yesterday.
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 — 587 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Lab
Build and improve Runx skills through one authoring surface. Keep judgment in bounded agent acts and mechanics in native tools:
inspect target files, catalog ownership, and native/shared tools
→ decide ownership, execution lanes, effects, budgets, and proof
→ bind that architecture to the inspected package digest in native code
→ compose existing capabilities before authoring code
→ author only bounded writes, explicit deletions, and output intent
→ bind those bytes to the admitted architecture in native code
→ validate paths, secret posture, and the complete candidate
→ inspect and safely replay the exact staged package
→ commit that validated bundle through one native transaction
Use the generic host skill-creator for platform-wide authoring guidance when
it is available. Do not reproduce Runx package operations from that guidance;
invoke the appropriate skill-lab runner so the work is bounded and receipted.
Runners
design: read-only catalog-fit and architecture planning. It returns a native digest-bound plan and never authors package bytes. A later build re-inspects and replans against its exact target before any write.build(default): create or update a package after its exact staged bundle passes native parsing, inspection, and safe harness replay.improve: turn one receipt or harness failure into a bounded package update, then validate and commit the exact staged bytes.harness: add fixture files to an existing package and replay the safe native harness against the exact candidate before committing it.
build, improve, and harness write local workspace files. They never
publish, install, push, or mutate an external provider. Native harness replay
runs with isolated Runx home, receipts, and no operator credentials. Invalid
staged packages stop before the target package is touched. Design, inspection,
validation, and the bounded transactional workspace write do not add a human
approval gate; the operator authorizes those reversible local writes by
invoking a runner whose native filesystem steps request
fs.write/fs.delete. Publication, installation, provider effects, and other
consequential boundaries remain outside this skill and keep their own approval
rules.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 587 lines · 72 tokens per session scan A 632f84c21821
skill-lab is a skill published in the GitHub repository runxhq/runx (85 stars, last pushed 2d ago), licensed Apache-2.0. It adds 72 tokens to every session and 7,879 once invoked, about $0.0004 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 2026-09-03.
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