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 runxhq/runx --skill skill-adoptgit 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-adopt)<a href="https://agentmods.dev/skills/runxhq/runx/skill-adopt"><img src="https://agentmods.dev/badge/skills/runxhq/runx/skill-adopt/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/runxhq/runx/skill-adopt"><img src="https://agentmods.dev/badge/skills/runxhq/runx/skill-adopt.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 | $0.00051 | $0.01019 |
| Opus 5.5 | $0.00020 | $0.00408 |
| Sonnet 5.5 | $0.00010 | $0.00204 |
| Haiku 4.5 | $0.00005 | $0.00102 |
Grade A, and why
skill-adopt 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Adopt
Adopt a third-party skill without pretending that upstream prose is already a
Runx package. Skill Adopt binds one immutable upstream SKILL.md to a least-authority
execution profile under bindings/<owner>/<skill>/. The upstream manual remains
unchanged and readable; the binding adds only the executable contract and
provenance needed by Runx.
Use this for borrowed, pinned source. Use skill-build when Runx owns the skill,
and use skill-review when the immediate job is assessment rather than binding.
Procedure
- Supply a local
SKILL.md, pinned GitHub metadata, and registry metadata. Nativefs.readcontains and digests the file; the Overlay domain module validates frontmatter, commit and blob pins, URLs, and the source-of-truth assertion, including the Git blob SHA that ordinary SHA-256 cannot express. - The builder reads the already bounded upstream manual from prepared context
and authors one exact
run.yaml: one runner with one agent step, exact inputs and outputs, least scopes, declared environment, credentials, allowed tools, and at least two mocked harness cases. Empty tool access is valid when the task needs no tools; it never means allow-all. - Overlay forwards the unchanged upstream
SKILL.mdand the authored profile as one in-memory candidate. Nativerunx.skill.validateis the sole parser: it establishes the skill identity, validates the exact bytes, and runs the safe harness with isolated receipts and no operator credentials. - Only a passing native report is assembled into
binding.json. Nativedata.digestbinds the exact profile and binding documents returned in the bundle. Apply them through the owning repository's normal authoring lane; publication and materialization remain separate operations.
The skill does not fetch an unpinned registry ref, edit the upstream skill, write repository files, publish a package, or claim provider verification. Missing source evidence, digest drift, invalid profile shape, or failed harness proof stops before a bundle is released. A failed run is safe to retry after correcting the source or profile because no workspace mutation has occurred.
What ships with it
13 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.
- fixtures/composes-in-graph.yaml 174 B
- fixtures/missing-skill-ref-needs-input.yaml 517 B
- fixtures/support/composed.graph 265 B
- fixtures/upstream/summarize/SKILL.md 239 B
- fixtures/wrap-borrowed-research-skill.yaml 1.1 KB
- fixtures/wrap-bounds-dropped-rejects.yaml 1.7 KB
- fixtures/wrap-local-skill-with-digest.yaml 4.7 KB
- fixtures/wrap-with-caller-bounds.yaml 3.8 KB
- overlay-binding.mjs 7.0 KB runs code
- overlay-common.mjs 3.7 KB runs code
- overlay-source.mjs 5.8 KB runs code
- references/catalog.md 139 B
- run.yaml 11 KB
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.
- 3d ago First seen · 82 lines · 51 tokens per session scan A 06171bfd77a2
skill-adopt is a skill published in the GitHub repository runxhq/runx (103 stars, last pushed today), licensed Apache-2.0. It adds 51 tokens to every session and 1,019 once invoked, about $0.0002 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 2026-10-14.
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