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environment-scene-extraction-bible

Use for location-first, no-human, and scene-bible workflows that need stable environment naming, spatial continuity, lighting logic, and clean world extraction without character contamination.

56

Quality

64%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./.nolanx/skills/environment-scene-extraction-bible/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

72%

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

The content is concise, well-structured, and appropriately scoped for a simple rule-based skill, with no verbosity or unnecessary references. Its weakness is actionability and workflow clarity: it gives directives but lacks concrete output templates and a verification sequence to check scene/no-human compliance.

Suggestions

Add a concrete output template or worked example (e.g. a sample environment entry with name, locked lighting, and landmark set) so the rules translate into copy-paste-ready guidance.

Provide a short verification checklist (e.g. 'Confirm: same landmark set reused, no human traces present, lighting state consistent') to give the workflow explicit checkpoints.

Add a brief sequencing note indicating when to apply scene vs continuity vs no-human rules across adjacent beats.

DimensionReasoningScore

Conciseness

The body is lean and well-organized into short rule lists with no padding or explanation of concepts Claude already knows; every line carries a distinct instruction.

3 / 3

Actionability

The rules are specific and directive ('Lock time of day, weather, light direction'), but as an instruction-only skill there are no concrete templates, naming conventions, or worked examples showing the expected output format.

2 / 3

Workflow Clarity

Rules are grouped by category but there is no sequenced workflow or validation checkpoint for verifying continuity/no-human compliance across beats, so the process remains implicit.

2 / 3

Progressive Disclosure

This is a short, self-contained skill with well-organized sections and no external references, which the rubric allows to score 3 for simple skills under 50 lines.

3 / 3

Total

10

/

12

Passed

Description

57%

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 carves out a clear, distinctive niche and uses appropriate third-person voice, but it lacks an explicit 'Use when...' trigger clause and lists capabilities somewhat abstractly. Tightening the trigger phrasing and concretizing the actions would lift completeness and specificity.

Suggestions

Add an explicit 'Use when...' clause naming natural user phrases (e.g. 'Use when the user asks for an environment-only shot, location continuity, or a no-human scene').

Replace abstract capability nouns with concrete verbs the skill performs (e.g. 'Name, lock, and extract environments' instead of 'workflows that need stable environment naming').

Add common natural trigger terms like 'environment shot', 'no people', and 'location continuity' to improve keyword coverage.

DimensionReasoningScore

Specificity

The description names the domain (environment naming, spatial continuity, lighting logic, world extraction) but phrases them as abstract capabilities rather than a list of concrete, repeatable actions like 'extract', 'fill', or 'merge'.

2 / 3

Completeness

It states what the skill does, but the 'when' is only implied by 'workflows that need...' rather than an explicit 'Use when...' clause, which the rubric caps at 2.

2 / 3

Trigger Term Quality

Terms like 'environment', 'location', and 'scene-bible' are relevant, but natural user phrasings such as 'environment shot', 'no people', or 'location continuity' are only partly covered by the niche 'no-human'/'worldbuilding' vocabulary.

2 / 3

Distinctiveness Conflict Risk

The narrow niche of location-first, no-human environment extraction is clearly distinct and unlikely to trigger for unrelated skills.

3 / 3

Total

9

/

12

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.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
nolanx-ai/nolanx.ai
Reviewed

Table of Contents

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