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AB ai-compliance-review

AI合规审查 - 按次付费，新用户注册送5次免费。广告法/数据隐私/金融营销/劳动用工/电商平台五大场景一键检测，AI智能识别违规点、引用法条、给出修改建议，企业营销文案/合同/招聘文案合规自检必备。 💡 企业定制/智能体开发/AI全案服务，合作微信17392371127（郭总）

ClawHub Agent Skills author: G620710 v1.1.4 MIT-0 4 files body ≈ 1 108 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

AI合规审查 - 按次付费，新用户注册送5次免费。广告法/数据隐私/金融营销/劳动用工/电商平台五大场景一键检测，AI智能识别违规点、引用法条、给出修改建议，企业营销文案/合同/招聘文案合规自检必备。 💡 企业定制/智能体开发/AI全案服务，合作微信17392371127（郭总）

As a process B 70/100 · Nearly there — weak spots: when it triggers, failures and branches, progress reporting

AnalyzerWordSecurityCustomer supporttype 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
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
B
70/100
Nearly there
Failures and branches w 10
0
Progress reporting w 2
0
When it triggers w 12
20
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 70/100

    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 50 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1108 tokens
    • 100Running it twice. No mutating operations
    • low 13 top-level sections: this looks like several domains in one skill

    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
    • +4Description does not say when NOT to use the skill (false activations)
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 141: enough signal without eating the budget
    • +4Structure: 28 headings
    • +3Step-by-step instructions: 50 items
    • +3Output format is stated explicitly
    • +4Has examples (9 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: suspicious
    This compliance-review skill is cloud-based and purpose-aligned, but it sends reviewed text and an API key to a hard-coded plain-HTTP backend while the documentation does not clearly warn users or accurately match the shipped script.
    LLM: suspicious (high) · 25 Jul 2026