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feedback-analyzer

Analyze skill effectiveness through usage feedback, metrics analysis, and outcome assessment. Task-based operations for feedback collection, effectiveness measurement, trend analysis, and insight extraction. Use when analyzing skill effectiveness, measuring ROI, understanding usage patterns, or evaluating toolkit impact based on real usage data.

Quality

62%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./.claude/skills/feedback-analyzer/SKILL.md

The canonical home for this skill is feedback-analyzer in fernandezbaptiste/Skrillz

SKILL.md
Quality
Evals
Security

Quality

Content

38%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.

The body is well structured and easy to navigate, but it is padded with redundant repetition and generic process steps while providing almost no executable guidance — no data sources, no formulas, no commands. The Example Analysis is the only concrete artifact and shows output format rather than method.

Suggestions

Replace the triple repetition of the four operations (Overview, Operations, Quick Reference) with one summary plus detail, and cut generic process steps that merely restate their headings.

Specify concrete data sources (e.g., which log files, review outputs, or build records hold usage data) and the metric formulas to compute (e.g., ROI = hours saved / hours invested).

Add validation checkpoints, such as verifying data completeness before computing metrics and sanity-checking computed ROI against the recorded build-time investment.

DimensionReasoningScore

Conciseness

The four operations are stated three times (Overview list, Operations sections, Quick Reference table), each operation's "Purpose" restates its heading, and process steps like "Identify data sources" and "Synthesize findings" are generic filler — several padded sections that add nothing Claude doesn't already know.

2 / 5

Actionability

There are no data sources, paths, commands, or formulas; where usage data actually lives (the crux of this skill) is never addressed and the ROI formula appears only implicitly inside the example. The Example Analysis block gives an output format but no executable guidance on producing it, matching the high-level-hints anchor.

2 / 5

Workflow Clarity

The four operations are coherently sequenced with numbered steps, but no validation or verification checkpoints appear anywhere (e.g., data completeness checks or sanity-checking computed metrics), matching the steps-listed-but-checkpoints-missing anchor.

3 / 5

Progressive Disclosure

As a single-file skill with no bundle files, it is well organized with clear section headers, separators, and a scannable quick-reference table. It falls short of the top anchor due to cross-section redundancy and vague unlinked pointers ("Uses data from skill-evolution-tracker, analysis skill").

4 / 5

Total

11

/

20

Passed

Description

70%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.

The description answers both what and when explicitly with natural trigger phrases in a distinct niche. Its main weakness is redundancy and abstraction: the capability list restates the domain in vague terms rather than concrete, differentiated actions.

Suggestions

Merge the two "what" sentences into one and replace abstract labels ("outcome assessment", "insight extraction") with concrete actions such as computing time-savings and ROI from usage logs.

Add a distinguishing trigger synonym or artifact type (e.g., quality review scores, usage logs) to further separate this skill from general data-analysis skills.

DimensionReasoningScore

Specificity

The action list ("feedback collection, effectiveness measurement, trend analysis, and insight extraction") names several capabilities, but they are high-level abstractions and the second sentence restates the first without adding concrete actions, matching the anchor for naming a domain with limited concrete actions.

3 / 5

Completeness

Both an explicit "what" ("Analyze skill effectiveness through usage feedback, metrics analysis, and outcome assessment") and an explicit "Use when..." clause with four concrete triggers are present, but the "what" is abstract and padded by a redundant restatement, falling short of the top anchor's concrete-capability example.

4 / 5

Trigger Term Quality

The "Use when" clause includes natural user phrases ("measuring ROI", "understanding usage patterns", "analyzing skill effectiveness", "evaluating toolkit impact") with several variations, though coverage is short of the comprehensive synonym/extension breadth of the top anchor.

4 / 5

Distinctiveness Conflict Risk

The niche (skill effectiveness, toolkit ROI) is clearly distinguishable, though generic analytics phrasing like "metrics analysis" and "trend analysis" creates minor overlap risk with general data-analysis skills.

4 / 5

Total

15

/

20

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.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

Total

15

/

16

Passed

Repository

fernandezbaptiste/Skrillz

Path

.claude/skills/feedback-analyzer/SKILL.md

Reviewed

Table of Contents

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