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audit-reference-originality

Audit a website or digital experience against its supplied source references for originality and plagiarism risk. Use when Codex must compare current or historical site output with reference pages, capture packs, screenshots, copy, brands, numbers, images, assets, videos, layouts, motion, or code; raise evidence-backed red flags; distinguish common visual grammar from distinctive copying; and propose concrete fixes without making unsupported legal claims.

80

Quality

100%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

100%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-crafted, evidence-driven audit methodology: lean and actionable, with a clearly sequenced workflow, explicit validation checkpoints, and clean progressive disclosure into a real rubric reference and a real helper script.

DimensionReasoningScore

Conciseness

Lean imperative style that assumes Claude's competence; it never explains what plagiarism, git, or a screenshot is, and its long enumerations function as purposeful inspection checklists rather than padding.

5 / 5

Actionability

Provides a concrete, fully-argued executable command for the inventory helper (python <skill-dir>/scripts/build_evidence_inventory.py with --site/--reference/--output flags) plus specific git commands (git log -S, git log --all --name-status) and a numbered triangulation/fix procedure.

5 / 5

Workflow Clarity

A clearly sequenced six-phase process with explicit validation checkpoints ('Stop and report an access gap when a promised reference is missing', 'Treat its output as leads for human review, not an automatic verdict') and a terminal 'Completion checks' checklist.

5 / 5

Progressive Disclosure

Well-structured overview that signals one-level-deep references clearly ('Read references/audit-rubric.md before judging findings'); both referenced files (references/audit-rubric.md and scripts/build_evidence_inventory.py) exist and are appropriately split out from the overview.

5 / 5

Total

20

/

20

Passed

Description

100%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, third-person description that concretely states what the skill does and gives an explicit, trigger-rich 'Use when' clause. It is specific, complete, and well-differentiated with no over-claims or fluff.

DimensionReasoningScore

Specificity

Names the domain (website/digital experience originality audit) and lists multiple concrete actions: compare site output with reference pages, raise evidence-backed red flags, distinguish common visual grammar from distinctive copying, and propose concrete fixes.

5 / 5

Completeness

Explicitly answers both 'what' (audit a site against supplied references for originality/plagiarism risk) and 'when' via a concrete 'Use when Codex must compare current or historical site output with reference pages...' trigger clause.

5 / 5

Trigger Term Quality

Comprehensive coverage of natural terms a user would say, including media-type synonyms: 'screenshots, copy, brands, numbers, images, assets, videos, layouts, motion, or code', plus 'reference pages' and 'capture packs'.

5 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (evidence-backed originality/plagiarism auditing against a reference corpus) with distinct triggers and minimal overlap risk with other skills.

5 / 5

Total

20

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
MengTo/Skills
Reviewed

Table of Contents

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