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autoreview

Structured code review through the shared OpenClaw agent-skills installation.

Quality

74%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./.agents/skills/autoreview/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

93%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 content is a well-executed delegation entrypoint: lean, fully executable for the default case, with a coherent install-if-missing fallback and clear maintenance policy. Its only meaningful weakness is a slightly ambiguous instruction about using the reviewed repository's Python and working directory. No bundle files exist to evaluate, and none are needed at this size.

DimensionReasoningScore

Conciseness

At ~30 lines, every sentence is operational: where the canonical skill lives, how to install it if missing, the exact default command, branch-mode variant, and upstream maintenance rules. There is no explanation of concepts Claude already knows and no padding to trim. Anchor 5 ('lean and efficient; every token earns its place') is the clear fit; anchor 4 would require some over-explanation, and none is present.

5 / 5

Actionability

The default route is a fully copy-paste-ready command with concrete flags (--engine codex --model gpt-6.1-sol --thinking high --max-priority P3 --mode local), the branch variant is given explicitly, and the missing-skill fallback is an executable clone-plus-install sequence. The common cases are covered exactly as anchor 5 requires; the only gap (no commands for non-default engines) is handled by the explicit preserve-user-selection rule.

5 / 5

Workflow Clarity

The sequence is coherent and ordered: locate/read the canonical skill and its references, install it if missing, run the helper with the documented flags, use branch mode for committed-branch reviews, and keep fixes upstream. It stays at anchor 4 rather than 5 because 'Run the shared scripts/autoreview helper with Python from the repository being reviewed, preserving its working directory' leaves the interpreter-selection and working-directory requirements somewhat ambiguous, and there are no validation checkpoints on the review output. The destructive/batch cap does not apply since reviewing is read-only.

4 / 5

Progressive Disclosure

The body is under 50 lines with no inlined content that belongs elsewhere; the entire entrypoint is a clearly signaled, one-level-deep pointer to the canonical installation (URL plus ~/.agents/skills/autoreview/SKILL.md path) with an explicit fallback install path. Per the simple-skill guideline, well-organized short content with no bundle files needed scores 5, and the single external reference is unambiguous rather than buried.

5 / 5

Total

19

/

20

Passed

Description

45%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 is concise and grammatical but under-specified: it names the domain (code review) with one generic action and no trigger guidance whatsoever. Users asking to 'review my diff' or 'review this PR' have only one natural keyword to match against. Adding a 'Use when...' clause with concrete trigger phrases would materially improve it.

Suggestions

Add an explicit 'Use when...' trigger clause, e.g. 'Use when the user asks to review code, a diff, a pull request, or staged changes.'

List 1-2 concrete capabilities to raise specificity beyond the generic 'structured code review', e.g. 'Reviews the current diff or a target branch for correctness bugs, style issues, and security findings.'

Include natural trigger variations users would actually say (diff, PR, pull request, staged changes, review my code) to broaden keyword coverage beyond the single term 'code review'.

DimensionReasoningScore

Specificity

The phrase 'Structured code review' names the domain and a single generic action; the remainder ('through the shared OpenClaw agent-skills installation') describes a deployment mechanism, not a user-facing capability. It does not reach anchor 3, which requires 1-2 concrete actions like 'extracts content' or 'fills forms'; it stays above anchor 1 because a domain and an action word are explicitly stated.

2 / 5

Completeness

The 'what' is present but weakly specified ('structured code review' delegated entirely to an external installation), and there is no 'when' clause or equivalent trigger guidance at all. The judging guideline caps a missing 'Use when...' clause at 3, and the description does not reach anchor 4 because 'when' is entirely absent rather than merely implicit.

3 / 5

Trigger Term Quality

'Code review' is a natural phrase users would actually say, but it is the only natural trigger term; everything else ('OpenClaw', 'agent-skills installation') is product jargon users would not utter. Anchor 3 ('some relevant keywords but missing common variations or synonyms') fits; anchor 4 would require broader coverage like 'review my diff', 'review this PR', or 'review staged changes'.

3 / 5

Distinctiveness Conflict Risk

'Structured code review' is somewhat specific, but code-review skills are common and nothing here differentiates this one from other review skills except the OpenClaw installation reference, which reads as infrastructure rather than a differentiator. Anchor 3 ('somewhat specific but could still overlap with similar skills') is the best fit.

3 / 5

Total

11

/

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.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

Referenced path issues: 2 missing

Warning

Total

15

/

16

Passed

Repository

openclaw/clawhub

Path

.agents/skills/autoreview/SKILL.md

Reviewed

Table of Contents

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