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edge-case-finder

Analyzes branch changes to find edge cases, error states, and untested user flow paths in UI code. Use when the user says "find edge cases", "what am I missing", "edge cases", "test my flows", "what could go wrong", or wants to harden a feature before shipping.

87

1.32x
Quality

88%

Does it follow best practices?

Impact

77%

1.32x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

85%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.

A well-organized workflow skill with concrete commands, strong sequencing, explicit user-confirmation checkpoints, and a verification feedback loop. Main improvement area is reducing the overlap between the inlined category summaries and the reference file to save tokens.

Suggestions

Trim the inlined 3a-3h bullet lists to one-line summaries and rely on references/edge-case-categories.md for the exhaustive checklist, reducing token duplication.

Add a brief note on how to handle large diffs (e.g., scope by directory or component) so the analysis stays tractable on big branches.

Optionally include one concrete before/after fix example to anchor the 'Suggested fix' field in Step 4.

DimensionReasoningScore

Conciseness

The body is mostly lean and assumes Claude's competence, but the inlined category bullets (3a-3h) partially duplicate the referenced checklist and could be trimmed further.

4 / 5

Actionability

Provides concrete, executable git commands and a specific per-category question framework plus a structured findings format, with only minor gaps in coverage of edge-case detection mechanics.

4 / 5

Workflow Clarity

A clearly sequenced six-step process with explicit validation checkpoints (confirm understanding, verify happy path, approve each fix) and a feedback loop that re-scans for new edge cases after fixes.

5 / 5

Progressive Disclosure

The body serves as an overview that summarizes categories inline and points to a real, one-level-deep reference (references/edge-case-categories.md) clearly signaled for the full checklist.

5 / 5

Total

18

/

20

Passed

Description

91%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, well-structured description that clearly states its purpose and gives plentiful natural trigger phrases in proper third-person voice. It is comprehensive on triggers and completeness, with only minor room to broaden the listed concrete actions.

DimensionReasoningScore

Specificity

Names the domain ('branch changes', 'UI code') and several concrete actions ('find edge cases, error states, and untested user flow paths'), but stops at three actions rather than comprehensive coverage.

4 / 5

Completeness

Explicitly states both what it does ('Analyzes branch changes to find edge cases...') and when to use it ('Use when the user says...') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Supplies a rich set of natural phrases users would actually say ('find edge cases', 'what am I missing', 'test my flows', 'what could go wrong', 'harden a feature'), covering synonyms and variations.

5 / 5

Distinctiveness Conflict Risk

Has a clear niche (edge-case hunting on branch changes) with distinctive triggers, with only minor overlap risk against general code-review or testing skills.

4 / 5

Total

18

/

20

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
itsablabla/jada-code
Reviewed

Table of Contents

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.