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clawhub-clawscan

Investigate ClawScan health alerts, diagnose scanner or ClawHub integration failures, prepare operational repairs, and route validated verdict inaccuracies upstream. Account ban appeals use clawhub-ban-appeals.

Quality

86%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

92%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-constructed instruction-only operational skill: lean prose, decision tables that make branch choices unambiguous, explicit validation checkpoints, and clean one-level-deep reference structure. The only weakness is a handful of high-level directives whose specifics (which checks, which seams) are left to be discovered at runtime.

DimensionReasoningScore

Conciseness

The body is dense and lean with no padding and no explanation of concepts Claude already knows; nearly every sentence carries a stage-specific operational constraint (e.g. 'Do not invent a delegation API, impose a worker cap, add a progress database, or schedule another health job'). It assumes competence and every token earns its place, matching the 5 anchor rather than 4, where trims would still be available.

5 / 5

Actionability

Concrete decision tables for dispositions and owner attribution, named repos (openclaw/clawhub, openclaw/clawscan), and specific evidence items make the guidance mostly executable, and command-level detail is correctly pushed to references. A few directives remain high-level ('Run the touched repository's relevant checks', 'use an isolated checkout and the existing code/test seams') without naming the seams or checks, which keeps it below the fully copy-paste-ready 5 anchor.

4 / 5

Workflow Clarity

Sections sequence the full lifecycle (intake/delegation → establish what happened → attribute the defect → repair or route → return to Admin) with explicit validation checkpoints: fresh observation of the same environment, validity-at-firing separated from actionability-now, regression demonstrated 'with the same input or a faithful sanitized regression', and Admin evidence verification. It matches the 5 anchor (clear sequence, explicit validation, tables as checklists) rather than 4, where checkpoints would only be mostly present.

5 / 5

Progressive Disclosure

The body is a genuine overview: both referenced files (references/evidence-and-tools.md, references/upstream-reporting.md) exist, are clearly signaled with purpose ('Read [evidence and tools](references/evidence-and-tools.md) for the applicable read surface'), and hold the command-level detail one level deep with no nested skill-reference chains. Cross-links are sibling-skill routing, not nested disclosure, matching the 5 anchor.

5 / 5

Total

19

/

20

Passed

Description

75%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A specific, well-bounded description with concrete actions and an explicit boundary against a sibling skill. Its main gap is the absence of any explicit 'use when' trigger clause, leaving activation guidance only weakly implied, and it misses a few natural phrasings like 'false positive' or 'scan complaint'.

Suggestions

Add an explicit trigger clause, e.g. 'Use when a ClawScan health alert fires or a scan verdict is disputed' — its absence currently caps completeness at 3.

Include natural requester phrasings such as 'false positive', 'scan complaint', or 'scanner flagged a package incorrectly' to broaden trigger-term coverage.

Optionally state the operational context (running from a ClawHub checkout) so the skill's activation conditions are explicit rather than only implied by the opening verb.

DimensionReasoningScore

Specificity

The description lists four concrete verb+object actions — 'Investigate ClawScan health alerts', 'diagnose scanner or ClawHub integration failures', 'prepare operational repairs', 'route validated verdict inaccuracies upstream' — covering every branch of the skill. This matches the 5 anchor (multiple specific concrete actions, comprehensive coverage); score 4 would require minor gaps in coverage, which are not evident against the body.

5 / 5

Completeness

The 'what' is clear and concrete, but there is no 'Use when...' clause or equivalent explicit trigger guidance; the 'when' is only weakly implied by the opening action. The final sentence ('Account ban appeals use clawhub-ban-appeals') is an exclusion/routing note, not a trigger, so per the judging guidelines completeness is capped at 3 — not 4, which requires an explicit (if imprecise) 'when'.

3 / 5

Trigger Term Quality

Good natural keyword coverage for the domain ('ClawScan', 'health alerts', 'scanner', 'ClawHub integration', 'verdict inaccuracies', 'ban appeals') that a user in this environment would say. It falls short of the 5 anchor because common phrasings a requester would actually use — 'false positive', 'scan complaint', 'scan flagged a package' — are absent as synonyms or variations.

4 / 5

Distinctiveness Conflict Risk

It occupies a clear niche (ClawScan health alerts and scanner/integration failures) and actively reduces conflict risk by explicitly routing 'Account ban appeals' to the separate clawhub-ban-appeals skill. Trigger terms are distinct to this domain, matching the 5 anchor with minimal overlap risk.

5 / 5

Total

17

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 3 suspicious

Warning

Total

15

/

16

Passed

Repository

openclaw/clawhub

Path

.agents/skills/clawhub-clawscan/SKILL.md

Reviewed

Table of Contents

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