CtrlK
BlogDocsLog inGet started
Tessl Logo

minimal-fix

Produce the smallest possible code change that fixes a specific, well-scoped issue (CI failure, reviewer comment, typo). Use only when the fix target is explicit. Never refactor unrelated code.

70

Quality

86%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

86%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-structured, token-efficient skill body with a clear process and output template. The main gap is an explicit feedback loop for when verification fails.

Suggestions

Add an explicit feedback loop after step 4, e.g. 'If tests/lint fail, fix the change and re-run; do not widen the diff.'

In the Output template, give a one-line concrete example of a filled-in 'Verification run' field so the expected shape is unambiguous.

Clarify in the Process what to do when the failure cannot be reproduced locally (step 1 says 'if possible' but does not state the fallback).

DimensionReasoningScore

Conciseness

Lean and efficient with no padding or explanation of concepts Claude already knows; every line (Inputs, Process, Output, Rules) earns its place.

5 / 5

Actionability

Concrete process steps and a specific output template make the guidance actionable, but it defers executable commands to AGENTS.md/project skills rather than providing them, leaving minor gaps.

4 / 5

Workflow Clarity

A clear 5-step sequence with an explicit validation step (step 4: run tests/lint) and a verification field in the output, but the validate->fix->retry feedback loop is only implicit rather than spelled out.

4 / 5

Progressive Disclosure

Under 50 lines with no bundle files and no need for external references; content is well-organized into clearly signaled sections (Inputs, Process, Output, Rules).

5 / 5

Total

18

/

20

Passed

Description

87%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 tight, well-scoped description that clearly states what it does, when to use it, and stays distinct from general coding skills. Trigger term coverage is good but could add a few more natural synonyms.

DimensionReasoningScore

Specificity

Names the domain ('smallest possible code change that fixes a specific, well-scoped issue') and lists several concrete trigger scenarios (CI failure, reviewer comment, typo), with minor gaps in coverage of fix types.

4 / 5

Completeness

Explicitly answers both 'what' (produce the smallest possible code change fixing a well-scoped issue) and 'when' ('Use only when the fix target is explicit') with concrete trigger phrases in the parenthetical.

5 / 5

Trigger Term Quality

'CI failure, reviewer comment, typo' are natural phrases users would say, giving good keyword coverage, though a few common synonyms (e.g. 'bug', 'lint error') are missing.

4 / 5

Distinctiveness Conflict Risk

Carves a clear niche (minimal diffs for well-scoped fixes) reinforced by 'Never refactor unrelated code', giving it distinct triggers and minimal conflict risk with general coding skills.

5 / 5

Total

18

/

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

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
cobusgreyling/loop-engineering
Reviewed

Table of Contents

Is this your skill?

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.