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AB china-check

Look up and verify mainland-China (PRC) companies from official GSXT/SAMR registration data. Use whenever the user wants to find, verify, vet, or research a Chinese company, supplier, factory, manufacturer, brand, or business partner — or asks for a company's legal name, legal representative, registration status, Unified Social Credit Code (USCC), registered capital, registered address, business scope, or industry. Backed by the free China-Check MCP server (search_chinese_company + get_company_snapshot).

ClawHub Agent Skills author: ballcheung v0.1.0 MIT-0 2 files body ≈ 988 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Look up and verify mainland-China (PRC) companies from official GSXT/SAMR registration data.

As a process B 68/100 · Nearly there — weak spots: result and completion, consistency, progress reporting

AnalyzerSoftware developmentAI and agentsMarketingtype 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
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
B
68/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
Consistency w 8
40
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

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 68/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 40Consistency. Frontmatter name (china-check) differs from the folder (china-company-check-mcp)
    • 55Failures and branches. 1 branches
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 21 steps
    • 100Execution cost. Instruction body is 988 tokens
    • 100Running it twice. No mutating operations

    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)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +2Single-language instructions
    • +3Description length 509: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 21 items
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: clean
    This skill is a read-only helper for checking mainland China company registration data through a disclosed external MCP service.
    LLM: benign (high) · VirusTotal: · 9 Jul 2026