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AC code-reviewer

Automated code review for pull requests and code snippets. Analyzes code quality, security vulnerabilities, performance issues, and best practices across Python, JavaScript/TypeScript, Java, Go, Rust, and Shell scripts. Use when the user wants to: (1) Review a PR before merging, (2) Check a code snippet for bugs or anti-patterns, (3) Get security audit of code changes, (4) Improve code quality with actionable suggestions, (5) Ensure consistency with project style guides. Best for developers, teams wanting automated pre-merge reviews, and anyone who wants a second pair of eyes on their code.

ClawHub Agent Skills author: ericlooi504 v1.0.0 MIT-0 2 files body ≈ 1 183 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 56/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 56/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (code-reviewer) differs from the folder (eric-code-reviewer)
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 100Steps. 48 steps
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 1183 tokens
    • 100Progress reporting. Reports progress

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 597: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 48 items
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This is a straightforward code-review skill that asks the agent to inspect user-supplied code, diffs, or PRs without hidden install steps or persistence.
    LLM: benign (high) · VirusTotal: · 29 May 2026