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ce-riffrec-feedback-analysis

Analyze Riffrec feedback captures from bundles or standalone recordings. Always load for `riffrec-*.zip`, `session.json` + `events.json` + `recording.webm` + `voice.webm` bundles, `.mp4`/`.mov`/`.webm` videos, `.m4a`/`.mp3`/`.wav` audio, or capture/share requests.

76

Quality

95%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

100%Weight 40%Scale 1-3

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

The body is lean, actionable, and well-structured: a clear routing workflow with a disambiguation checkpoint, an executable invocation pattern, and one-level-deep references that all exist on disk. No dimension shows meaningful weakness.

DimensionReasoningScore

Conciseness

The ~37-line body assumes Claude's competence (no 'what is a video/PDF' filler), links out for context in a single line, and keeps each section lean; the privacy/commit 'Common rules' block is concise guidance rather than padded explanation.

3 / 3

Actionability

It gives a copy-paste-ready bash snippet with the SKILL_DIR absolute-path invocation pattern, lists accepted inputs and the --output-dir flag, and specifies the default output path — fully executable guidance.

3 / 3

Workflow Clarity

'Choose the path' provides a clearly sequenced three-way routing decision with explicit criteria and a verification checkpoint ('inspect the recording length and event count before choosing. If still unclear, ask the user') before running anything heavy.

3 / 3

Progressive Disclosure

SKILL.md is a clear overview that routes to one-level-deep references (install-riffrec.md, quick-bug-report.md, extensive-analysis.md, compound-engineering-feedback-format.md — all verified to exist) and a scripts/ analyzer, with explicit 'Read only that reference; do not load the others' navigation.

3 / 3

Total

12

/

12

Passed

Description

90%Weight 40%Scale 1-3

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 explicit trigger guidance, good natural-language terms, and a clear distinctive niche. The only weak spot is specificity, which rests on a single verb ('Analyze') rather than enumerating several distinct concrete actions.

Suggestions

Expand the single verb 'Analyze' into a few concrete actions (e.g., transcribe, extract issues, summarize workflows, hand off to brainstorm) to lift specificity toward the top anchor.

Consider naming the downstream deliverables explicitly (e.g., 'produces structured bug reports and requirements kickoff material') so the output is as concrete as the inputs.

DimensionReasoningScore

Specificity

Quotes 'Analyze Riffrec feedback captures from bundles or standalone recordings' plus an enumerated set of concrete input file types, naming the domain and inputs clearly but offering only the single verb 'Analyze' rather than multiple distinct concrete actions.

2 / 3

Completeness

It answers 'what' ('Analyze Riffrec feedback captures...') and 'when' explicitly ('Always load for riffrec-*.zip, ... or capture/share requests'), satisfying the both-what-and-when anchor with explicit triggers.

3 / 3

Trigger Term Quality

Natural terms a user would say appear throughout — 'videos', 'audio', 'capture/share requests', and concrete extensions like .mp4, .mov, .webm, .m4a, .mp3, .wav — giving good coverage of likely user phrasings.

3 / 3

Distinctiveness Conflict Risk

The Riffrec niche plus highly specific bundle signatures (riffrec-*.zip, session.json + events.json + recording.webm + voice.webm) make it unlikely to trigger for unrelated skills.

3 / 3

Total

11

/

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
EveryInc/compound-engineering-plugin
Reviewed

Table of Contents

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