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Invoke only when the user explicitly asks to review code through the "single level of abstraction / layered error handling" lens — a function does only its own layer's business logic while errors are handled above or below. The agent reports detections, raw-count measurements, and move directions. Apply only when the user explicitly requests this lens.

75

Quality

92%

Does it follow best practices?

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SecuritybySnyk

High

Do not use without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A tightly written, well-organized review-lens skill: concise without concept padding, highly actionable through fixed tags, named checks, and a concrete output contract, with an explicit re-read validation loop in its methodology and clean single-file organization. No bundle files exist and none are needed.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence — it never explains what functions, exceptions, or layers are, and every section (principle, methodology, five checks, Quantify, red flags, exemptions, output contract) earns its place. The recurring 'severity grading belongs downstream' framing is repeated across three sections, but it is purposeful emphasis on a core design decision rather than concept padding, so it stays at score 3.

3 / 3

Actionability

It gives concrete, executable guidance: fixed classification tags (core/down/up/cross-cutting), a named decision rule-of-thumb, five review checks each specifying exactly what to record (hit yes/no + file:line + raw count), and a numbered output contract. This is an instruction-only review skill, and the guidance is specific and copy-ready rather than abstract, matching the score-3 anchor.

3 / 3

Workflow Clarity

The methodology is a clearly sequenced 1–6 process with an explicit validation feedback loop ('Re-read for level… If not, repeat from step 1') and a 'Keep the change minimal' guardrail, and the review method lists five ordered checks with a defined recording format. It is not score 2 because the checkpoint and error-recovery loop are explicit, not merely implicit.

3 / 3

Progressive Disclosure

The skill is a single self-contained SKILL.md with no bundle files and no nested references, organized into well-signaled sections (Scope, When to use, The principle, Methodology, Review method, Quantify, Red flags, Exemption checklist, Output contract). Per the simple-skill scoring note, well-organized content with no need for external references scores 3.

3 / 3

Total

12

/

12

Passed

Description

85%

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 precise, third-person description that names a distinct review lens, enumerates the sensor's concrete outputs, and gives an explicit invocation trigger. Its only weakness is trigger-term coverage: the description relies on the lens's technical name rather than the natural-language phrasings a user might actually say.

Suggestions

Add a couple of natural-language trigger phrasings to the description (e.g. 'check whether this function does too much', 'errors should be handled above/below') to broaden trigger-term coverage beyond the technical lens name.

Keep the double 'Invoke only when… / Apply only when…' gating but consider condensing to a single explicit trigger clause to tighten the description.

DimensionReasoningScore

Specificity

The description names multiple concrete actions — 'review code through the single level of abstraction / layered error handling lens', 'reports detections, raw-count measurements, and move directions' — matching the score-3 anchor for listing several specific actions. It is not score 2 because it goes beyond naming a domain plus a few actions to enumerate distinct sensor outputs.

3 / 3

Completeness

It explicitly answers both what ('reports detections, raw-count measurements, and move directions') and when ('Invoke only when the user explicitly asks', 'Apply only when the user explicitly requests this lens'). It is not score 2 because the when-clause is explicit, not merely implied.

3 / 3

Trigger Term Quality

It surfaces the lens by its technical name ('single level of abstraction / layered error handling'), which a knowledgeable user would say, but the description itself lacks the common layperson variations (e.g. 'function does too much', 'errors handled above/below') that the body later lists. It is not score 3 because the trigger keywords are jargon-heavy rather than a broad spread of natural terms.

2 / 3

Distinctiveness Conflict Risk

The niche is sharply defined ('single level of abstraction / layered error handling' lens) and double-gated to fire only on explicit request, with general reviews deferred to other lenses, making false triggers unlikely. It is not score 2 because the gating removes meaningful overlap with sibling review skills.

3 / 3

Total

11

/

12

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
MoonshotAI/kimi-code
Reviewed

Table of Contents

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