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peer-review

Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments. Use for authorized review of scientific manuscripts, protocols, preprints, or research proposals; reporting-guideline selection; claim–evidence checks; methods, statistics, reproducibility, ethics, figure/table, and citation critique; or revision-response planning.

80

Quality

100%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

100%

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

The body is a well-structured, lean procedural skill: executable commands, a gated multi-step workflow with validation feedback loops, and correctly split one-level-deep bundle references. It assumes Claude's competence and avoids basic-concept padding.

DimensionReasoningScore

Conciseness

The body assumes Claude's competence — it never explains basic concepts like what a manuscript or citation is — and every section adds domain-specific procedural value; length reflects a genuinely complex 11-step workflow rather than padding.

3 / 3

Actionability

Provides concrete executable commands throughout ('python3 scripts/validate_review_intake.py completed-intake.json', 'python3 scripts/lint_review.py private-review.md'), named templates to copy, and explicit per-claim/per-checkitem fields — copy-paste ready.

3 / 3

Workflow Clarity

Eleven numbered steps are clearly sequenced with an intake gate ('Proceed only when status is READY_FOR_LOCAL_REVIEW') and a final lint/feedback loop plus a 'Before handoff' checklist, matching the anchor for explicit validation checkpoints and error-recovery feedback.

3 / 3

Progressive Disclosure

SKILL.md is an overview pointing to clearly signaled one-level-deep references; the referenced files in references/, scripts/, and assets/ all exist, and content is appropriately split with dedicated 'Local tool index' and 'References and assets' navigation sections.

3 / 3

Total

12

/

12

Passed

Description

100%

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

The description is concise, action-oriented, and third-person, with explicit 'Use for' triggers covering both capabilities and activation conditions. It is clearly distinct from generic writing or document skills.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions — 'Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments', 'reporting-guideline selection; claim–evidence checks; methods, statistics, reproducibility, ethics, figure/table, and citation critique; or revision-response planning' — matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

Explicit 'Use for authorized review of…' trigger clause answers both what the skill does and when Claude should use it, matching the anchor requiring explicit triggers for both.

3 / 3

Trigger Term Quality

Uses natural terms a user would say ('scientific manuscripts, protocols, preprints, or research proposals', 'methods, statistics, reproducibility') in third-person voice, with good coverage of variations; not merely jargon.

3 / 3

Distinctiveness Conflict Risk

Targets a clear niche (authorized peer review of scientific manuscripts) with distinct, domain-specific triggers unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
K-Dense-AI/scientific-agent-skills
Reviewed

Table of Contents

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