SKILLEMALL.ai

BB code-review-ProMax

高级代码审查 Agent。对用户提供的 diff、文件、commit、GitHub PR 或 GitLab MR 进行高质量、 上下文感知、回归风险导向的代码审查,输出可执行、结构化的审查结论,适合合入决策。 触发词:code review, CR, 代码审查, 审查代码, review代码, review PR/diff/commit, review MR, review merge request, review修改, review当前的修改, 帮我review, 帮我看看代码, 看看有没有问题, 帮我检查一下代码, 代码有没有问题, 这段代码怎么样, 改动有没有风险, 能不能合入, review一下, 帮我过一遍代码, 检查一下改动, review这个PR, review这个MR. NOT for: general code questions, writing code, debugging live issues.

ClawHub Agent Skills author: zZihan v2.0.2 MIT-0 4 files body ≈ 2 107 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 65/100 · Nearly there — weak spots: failures and branches, running it twice

AnalyzerGitHubGitLabSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
B
65/100
Nearly there
Failures and branches w 10
0
Running it twice w 4
30
When it triggers w 12
50
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 65/100

  • 0Failures and branches. Linear process with no failure handling
  • 30Running it twice. 6 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (web, git) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 68 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2107 tokens
  • 100Progress reporting. Reports progress
  • low The response is described with custom markup (6 tags): a typed call is more reliable

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
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 418: enough signal without eating the budget
  • +4Structure: 36 headings
  • +3Step-by-step instructions: 68 items
  • +3Output format is stated explicitly
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
No artifact-backed suspicious behavior could be confirmed, but the workspace artifacts could not be read in this run.
LLM: benign (low) · VirusTotal: · 20 May 2026