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 rules/uipath/skills/skill-reviewgit clone --depth 1 https://github.com/UiPath/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/rules/uipath/skills/skill-review)<a href="https://agentmods.dev/rules/uipath/skills/skill-review"><img src="https://agentmods.dev/badge/rules/uipath/skills/skill-review.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 | $0.00034 | $0.00438 |
| Opus 5 | $0.00017 | $0.00219 |
| Sonnet 5 | $0.00007 | $0.00088 |
| Haiku 4.5 | $0.00003 | $0.00044 |
Grade A, and why
skill-review 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 4d 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.
What it actually says
Score each skill on six dimensions (1–5 scale, 1 = failing, 3 = acceptable, 5 = excellent):
- Structure — SKILL.md frontmatter valid;
namematches folder;descriptionunder 1024 chars, front-loads identity, includes→redirects;[PREVIEW]tag for unstable skills; body follows Title → When to Use → Critical Rules → Workflow → Reference Navigation → Anti-patterns; references use kebab-case +-guide.md/-template.mdsuffix; no orphaned files. - Consistency — CLI uses
--output jsonuniformly;<UPPER_SNAKE_CASE>placeholders; heading hierarchy doesn't skip; code blocks have language identifiers; terminology matches other skills. - Logic & Completeness — workflows cover full lifecycle; error handling specified; edge cases addressed; CLI commands correct; steps in order; validation loops present; anti-patterns section covers real mistakes.
- Duplication — no copy-paste between SKILL.md and references; no redundant reference files; SKILL.md links to references instead of inlining; no instructions repeated verbatim in Critical Rules and workflow.
- LLM Usability — prescriptive not descriptive; numbered Critical Rules; explicit decision trees; copy-paste-ready CLI commands; clear stop conditions; information front-loaded; SKILL.md not excessively long (extract to
references/). - Marketplace & Integration —
descriptiondetailed enough to match correctly but not over-broad;→redirects for sibling skills; passeshooks/validate-skill-descriptions.sh; no hardcoded personal paths; CODEOWNERS entry exists.
Read everything — SKILL.md, every references/ file, every assets/ file. Cite file paths and line numbers. Provide exact, actionable fixes. Full rubric: .claude/rules/skill-review.md.
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.
- 4d ago First seen · 15 lines · 34 tokens per session scan A e990961cafc9
skill-review is a cursor rule published in the GitHub repository UiPath/skills (154 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 438 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 2026-08-30.
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