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panel-review-loop

Iteratively review and improve a Fallow user-facing surface across representative real-world projects until the panel has no blocking concerns.

63

Quality

75%

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/panel-review-loop/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

92%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 a tight, well-sequenced iterative-review workflow with explicit validation and stopping conditions and no unnecessary padding. Its only weakness is that a couple of steps remain slightly abstract where a concrete command or template would make them fully executable.

DimensionReasoningScore

Conciseness

The body is lean and procedural with no padding or explanations of concepts Claude already knows; every line (setup note, numbered steps, closing constraints) earns its place.

5 / 5

Actionability

Provides concrete commands and paths ('npm --prefix benchmarks run download-fixtures', 'panel-review', 'benchmarks/fixtures/real-world/') with minor gaps where steps like 'Capture actual output' and 'Implement the smallest coherent improvement' stay abstract rather than fully executable.

4 / 5

Workflow Clarity

A clear 7-step sequence with an explicit feedback loop (implement -> re-run and compare -> stop when no blocks) and a concrete stopping/validation condition ('Stop when the panel has no blocks and further changes do not materially improve the surface').

5 / 5

Progressive Disclosure

Under 50 lines with no bundle files and a single well-signaled external reference to BENCHMARKS.md; the content is well-organized into a setup note plus numbered workflow, meeting the simple-skill exception for a 5.

5 / 5

Total

19

/

20

Passed

Description

58%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 states a clear purpose and domain with concrete actions, but omits an explicit 'Use when' trigger and only partially covers natural trigger terms. It is distinct enough to avoid most conflicts yet would benefit from explicit usage guidance.

Suggestions

Add an explicit 'Use when ...' clause naming the concrete trigger situations (e.g., 'Use when iteratively refining a Fallow surface against a real-world corpus until reviewers have no blocking concerns').

Broaden trigger terms with natural synonyms users would actually say (e.g., 'review', 'critique', 'polish', 'iterate', 'panel feedback') to improve keyword coverage.

Consider naming the concrete review artifacts or inputs (panel feedback, captured output) to raise specificity toward comprehensive coverage.

DimensionReasoningScore

Specificity

Names the domain ('Fallow user-facing surface') and several concrete actions ('review and improve', 'until the panel has no blocking concerns', 'across representative real-world projects'), with only minor gaps in granular task-level coverage rather than the comprehensive list needed for a 5.

4 / 5

Completeness

Provides a clear 'what' (iteratively review and improve a surface) but no explicit 'Use when...' trigger clause; the 'when' is only weakly implied, which per the guidelines caps completeness at 3.

3 / 5

Trigger Term Quality

Includes relevant terms ('review', 'improve', 'panel', 'user-facing surface', 'blocking concerns') a user might say, but lacks common synonyms/variations and leans on the specialized term 'Fallow', so coverage is partial rather than comprehensive.

3 / 5

Distinctiveness Conflict Risk

The combination of 'Fallow user-facing surface', 'panel', and 'blocking concerns' carves a mostly distinct niche with only minor overlap risk against generic review/improve skills.

4 / 5

Total

14

/

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.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 1 suspicious

Warning

Total

15

/

16

Passed

Repository
fallow-rs/fallow
Reviewed

Table of Contents

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