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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.

58

Quality

67%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./.agents/skills/panel-review-loop/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

85%

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 lean, well-sequenced iterative workflow with a concrete feedback loop and an appropriate one-level reference, weakened only by a couple of steps that stay abstract about how to capture and compare output.

Suggestions

Make "Capture actual output for each project" concrete, e.g. specify where output is saved or which command produces it.

Give "Re-run the same corpus and compare behavior" a concrete comparison method (e.g. a diff command or a recorded baseline to compare against).

Specify how `panel-review` is invoked (its arguments or the evidence format it expects) so the instruction is copy-paste ready.

DimensionReasoningScore

Conciseness

The body is ~24 lines with no padding or explanations of concepts Claude already knows; every line earns its place, matching the lean level-3 anchor.

3 / 3

Actionability

Concrete commands and paths appear ("npm --prefix benchmarks run download-fixtures", "benchmarks/fixtures/real-world/", "panel-review"), but steps like "Capture actual output for each project" and "compare behavior" lack the specifics needed to be fully executable.

2 / 3

Workflow Clarity

A clear 7-step numbered sequence includes an explicit feedback loop (re-run the corpus and compare behavior) and a stop-criterion checkpoint ("Stop when the panel has no blocks"), matching the level-3 anchor.

3 / 3

Progressive Disclosure

This is a short skill with no bundle files; its single one-level-deep, clearly signaled reference to BENCHMARKS.md satisfies the level-3 simple-skill allowance.

3 / 3

Total

11

/

12

Passed

Description

50%

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 what the skill does in a fairly specific niche but lacks any explicit "Use when" trigger guidance, capping completeness and trigger quality at the middle level across all dimensions.

Suggestions

Add an explicit "Use when..." clause naming the situations or requests that should trigger this skill, e.g. "Use when improving a Fallow user-facing surface and you need a structured review-and-iterate loop."

List a couple of concrete concrete actions beyond "review and improve" (e.g. "capture output across a real-world corpus, run panel-review, implement consensus fixes") to lift specificity.

Include natural trigger keywords users would actually say (e.g. "panel review", "iterative review", "improve the surface") to reduce overlap with generic review skills.

DimensionReasoningScore

Specificity

"Iteratively review and improve a Fallow user-facing surface" names the domain and the actions (review, improve) but does not enumerate multiple concrete actions, matching the level-2 anchor rather than the comprehensive level-3 list.

2 / 3

Completeness

It clearly states what the skill does, but there is no explicit "when to use it" trigger guidance, which the rubric caps at 2.

2 / 3

Trigger Term Quality

Some natural keywords appear ("review", "improve", "panel"), but there is no "Use when..." trigger and common phrasings a user would say are missing, so it is not the full level-3 coverage.

2 / 3

Distinctiveness Conflict Risk

The "Fallow user-facing surface" and "panel" framing gives it a niche, but the generic "review and improve" verbs and absence of an explicit trigger could overlap with general review skills.

2 / 3

Total

8

/

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

relative_links

Relative link issues: 1 suspicious

Warning

Total

15

/

16

Passed

Repository
fallow-rs/fallow
Reviewed

Table of Contents

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