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topic-specialist

Research a specific technology, library, system, protocol, or tool to answer a concrete technical question with source-traceable evidence. Use when current implementation details, version behavior, configuration, compatibility, or authoritative technical facts must be verified rather than recalled. Also use when explicitly asked to incorporate verified findings into an existing skill.

68

Quality

83%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

82%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 tight, well-structured process skill: efficient instruction-only guidance with a clear research workflow, evidence-priority mapping, and adversarial verification steps. Its main gaps are the absence of concrete templates/examples and modest room to offload detail into reference files.

DimensionReasoningScore

Conciseness

Lean, directive prose throughout with no padding and no explanation of concepts Claude already knows — e.g. 'Do not mechanically inspect a repository README, entry point, and issue tracker when those sources cannot affect the answer' packs a precise rule into one sentence. Every section earns its place.

5 / 5

Actionability

Concrete, specific guidance for an instruction-only skill: a claim-to-strong-evidence table, numbered steps ('Identify what observation would support or falsify it', 'Record the source location and relevant version/date'), and a gated update procedure. Not 5 because the guidance is judgment-level with no executable examples or templates for common cases.

4 / 5

Workflow Clarity

Coherent top-level sequence (resolve contract → research → build claim evidence → challenge findings → produce answer → conditional skill update) with counter-hypothesis feedback loops ('Narrow or revise the conclusion when the counterexample survives') and mutation gating ('Do not mutate files unless the user requested a persistent update'). Validation checkpoints are prose-level rather than explicit executable checks, keeping it below 5.

4 / 5

Progressive Disclosure

Well-organized sections with clear headers and no dead or nested references (no bundle files exist and none are referenced). At ~93 lines with self-contained content like the evidence-preference table and the full skill-update procedure, some material could be split into reference files, which keeps it just below 5.

4 / 5

Total

17

/

20

Passed

Description

83%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 strong description with an explicit dual 'Use when...' trigger structure, third-person voice, and a clearly defined verification-oriented niche. Trigger-term coverage and action specificity are good but not fully comprehensive.

DimensionReasoningScore

Specificity

Names the domain ('technology, library, system, protocol, or tool') and several concrete actions ('answer a concrete technical question with source-traceable evidence', 'verified rather than recalled', 'incorporate verified findings into an existing skill'). Not 5 because the actions remain conceptual rather than enumerating the concrete deliverable variants.

4 / 5

Completeness

Explicitly answers both what ('Research a specific technology... to answer a concrete technical question with source-traceable evidence') and when ('Use when current implementation details, version behavior, configuration, compatibility, or authoritative technical facts must be verified rather than recalled'), plus a second explicit trigger for skill updates.

5 / 5

Trigger Term Quality

Good natural keyword coverage: 'implementation details', 'version behavior', 'configuration', 'compatibility', 'verified', 'library', 'tool'. Falls short of 5 because common user phrasings like 'check the documentation', 'up to date', or 'release notes' are missing.

4 / 5

Distinctiveness Conflict Risk

Has a clear niche — evidence-verified technical facts as opposed to training-data recall — but 'research a specific technology' is broad and could overlap with general research or web-search skills, so minor overlap risk remains.

4 / 5

Total

17

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
Jamie-BitFlight/claude_skills
Reviewed

Table of Contents

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