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 review-skillgit 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/review-skill)<a href="https://agentmods.dev/skills/runxhq/runx/review-skill"><img src="https://agentmods.dev/badge/skills/runxhq/runx/review-skill/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/review-skill"><img src="https://agentmods.dev/badge/skills/runxhq/runx/review-skill.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 | $0.00057 | $0.00803 |
| Opus 5 | $0.00028 | $0.00402 |
| Sonnet 5 | $0.00011 | $0.00161 |
| Haiku 4.5 | $0.00006 | $0.00080 |
Grade A, and why
review-skill 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 6d 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Skill
Evaluate one skill from bounded evidence. The default runner passes a local
package to native runx.skill.validate, which parses and inspects the exact
package, runs read-only or planning harnesses with isolated receipts and no
operator credentials, and forwards that evidence to the focused assessment
runner. Execute-capable targets are inspected but never run automatically.
This skill does not mutate the package, publish a report, install a package, or
manufacture missing evidence. Use assess directly when a caller already has a
bounded evidence pack.
Procedure
- Resolve a workspace- or owning-skill-relative package path and capture its native capability and readiness envelope. Registry or marketplace material must first be installed or supplied as a bounded evidence pack; this skill does not fetch it implicitly.
- Run the native harness only when catalog execution is
readorplan. - Compare the documented capability with the inspected runner and catalog metadata in the evidence pack.
- Separate native harness results, provider readback, supplied assertions, and unverified claims.
- Check the happy path, refusal or stop path, authority boundary, artifact or effect, provenance, and recovery posture appropriate to the skill type.
- Return
needs_more_evidencewhen the evidence cannot support a trust decision. Never upgrade a parse result or prose claim into execution proof. - Recommend
adopt,adopt_with_caveats,improve, orreject, naming the evidence and blocking gaps behind the decision.
Stop conditions
- Refuse evidence containing secrets, raw credentials, private customer data, private inbox content, or provider dumps.
- Do not recommend provider readiness without provider readback.
- Do not recommend publication from private previews, placeholder hosts, dead links, or unrelated parent domains.
- Return
needs_more_evidencewhen no native inspection, harness, receipt, or equivalent bounded source evidence is supplied. - Reject capabilities that cannot be bounded, audited, or assigned a truthful terminal state.
What ships with it
1 file 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.
- 6d ago First seen · 78 lines · 57 tokens per session scan A 0bb55d42aad9
review-skill is a skill published in the GitHub repository runxhq/runx (84 stars, last pushed today), licensed Apache-2.0. It adds 57 tokens to every session and 803 once invoked, about $0.0003 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.
Other skills, from other repositories
cw-slice
Use before writing code for any Codewhale feature, upgrade, or refactor: find the existing owner of the behavior, bound the change to one reviewable slice, and fix the evidence bar before you start.
gh-find-prs
Survey open Codewhale PRs and triage each for mergeability and disposition against the real landing branch.
simplify
Improve clarity and reduce needless complexity after behavior is understood; preserve behavior and keep cleanup separate from correctness fixes.
dd-synthesis
Synthesize findings from multiple specialist agents into a coherent investment recommendation. Use when combining reports from 9+ specialist agents into a single decision document.
dd-report-format
Standard output format for due diligence analysis reports. Use when producing your final analysis to ensure consistency across all specialist agents.
dd-risk-scoring
Calculate weighted risk scores from specialist agent reports. Use when synthesizing multiple due diligence reports into an overall investment risk assessment.