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extract-source-sample

Given the path to a finished content-goose ad-run folder, extract everything that defines that ad — recipe shot list, VO script, characters, voices, world, atom-skills, master mp4 — and emit a `source-sample.json` in the exact shape the `upload-ad-sample` skill writes to the Goose Ads library. Also links every character and voice to the central character library at `<repo-root>/assets/character-library/` (repo-root derived from the run-dir, not a hardcoded path), and if a character isn't in the library yet, adds it first then links. Use when the user wants to remix one of their existing ads — this skill produces the source JSON that the script-rewriting step and `remix-ad` consume.

68

Quality

85%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

77%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.

Highly actionable and well-sequenced content with strong validation feedback loops, undermined by noticeable verbosity and a missed progressive-disclosure opportunity: the bundled schema reference is duplicated inline rather than linked.

Suggestions

Replace the inlined JSON schema in the body with a one-line pointer to references/source-sample-schema.md to eliminate duplication and make the bundle file discoverable.

Trim anecdotal retro notes (e.g. 'Hume run-03 lost ~$3 + 25 min') and remove internal [[feedback_...]] memory wiki-links that do not belong in a distributable SKILL.md.

Move the formatProfile known-slugs table and the library index/character.json schemas into the reference file, keeping only the routing rules inline.

DimensionReasoningScore

Conciseness

Mostly efficient and dense with actionable specifics, but includes trimmable anecdotal padding (e.g. 'Hume run-03 lost ~$3 + 25 min'), internal [[feedback_...]] memory wiki-links, and retro 'Origin' notes on the slug table that could be tightened.

3 / 5

Actionability

Fully executable guidance: exact JSON shapes, concrete file paths, runnable commands ('git lfs fetch --include=<relative path>'), a filename-to-role mapping table, and an explicit atom-derivation cascade covering common cases.

5 / 5

Workflow Clarity

Clear four-step sequence (read → build → link → write) with explicit validation (file audit, LFS materialization), feedback loops (404 → leave pointer; no match → extend library; null → surface), a failure-modes section, and a summary checklist.

5 / 5

Progressive Disclosure

Good header structure, but the body inlines the full JSON schema even though references/source-sample-schema.md exists, and that bundle file is never linked from the body — content that belongs in a separate file is inlined and the reference is orphaned.

3 / 5

Total

16

/

20

Passed

Description

92%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, specific description that clearly states both capability and trigger conditions for a narrow domain. Minor improvement possible in trigger-term synonym coverage, but it is otherwise comprehensive and distinct.

DimensionReasoningScore

Specificity

Lists multiple concrete actions with comprehensive coverage: 'extract...recipe shot list, VO script, characters, voices, world, atom-skills, master mp4', 'emit a source-sample.json', 'links every character and voice to the central character library', 'adds it first then links'.

5 / 5

Completeness

Explicitly answers both what ('extract...emit a source-sample.json...links...adds') and when ('Use when the user wants to remix one of their existing ads') with concrete trigger phrasing.

5 / 5

Trigger Term Quality

Good natural terms like 'remix one of their existing ads' and 'ad-run folder', but vocabulary is narrow with few synonyms or variations users might say, so it sits just below comprehensive.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche ('content-goose ad-run folder', 'source-sample.json', references to upload-ad-sample and remix-ad) with distinct triggers and minimal overlap risk.

5 / 5

Total

19

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (512 lines); consider splitting into references/ and linking

Warning

referenced_paths_exist

Referenced path issues: 6 missing, 2 deeper-than-1-level

Warning

Total

14

/

16

Passed

Repository
gooseworks-ai/goose-skills
Reviewed

Table of Contents

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