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CD china-company-search-fengniao-en

China company search and business registry skill by Fengniao (Riskbird). Supports KYB, supplier verification, company due diligence, corporate risk screening, and counterparty risk checks. Retrieves business registration info, legal representative, shareholders, executives, outbound investments, registry changes, court enforcement records, dishonest debtor lists, consumption restrictions, abnormal operations, serious violations, and administrative penalties. Ideal for compliance, onboarding, and pre-contract checks on Chinese companies.

ClawHub Agent Skills author: xinshu001 v1.0.0 MIT-0 12 files · 3 scripts body ≈ 1 266 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

China company search and business registry skill by Fengniao (Riskbird).

As a process D 47/100 · Unfinished process — References files that are not bundled: references/field_definitions_*.md

ProcedureSecuritySoftware developmentSales and CRMtype 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
C
81/100
safety, quality, tests
Safety 60%
95
Quality 40%
59
Run on models
none yet
Process rating
D
47/100
Unfinished process
References files that are not bundled: references/field_definitions_*.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-requests-env-secret SKILL.md:1
    Skill asks the runtime to inject credential env vars into its sandbox: FN_API_KEY — verify each one is needed for the stated purpose
    required_environment_variables: FN_API_KEY

Files scanned: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: references/field_definitions_*.md
  • note frontmatter-key unknown frontmatter key "keywords"
  • note frontmatter-key unknown frontmatter key "env"
  • note frontmatter-key unknown frontmatter key "security"
  • note frontmatter-key unknown frontmatter key "auto_invoke"
  • note frontmatter-key unknown frontmatter key "examples"

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: references/field_definitions_*.md
  • 0Tools and files. 1 referenced file(s) missing: references/field_definitions_*.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (china-company-search-fengniao-en) differs from the folder (china-company-search)
  • 60Result and completion. Output format stated, no completion criterion
  • 85Steps. 31 steps, 1 vague phrases
  • 100Failures and branches. 2 branches, has a failure section
  • 100Execution cost. Instruction body is 1266 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)
  • -44 reference files, but SKILL.md never points to them: the model will not open them
  • -32 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 542: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 31 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.

External checks

ClawHub: suspicious
The skill is purpose-built for China company risk lookups, but it auto-invokes broadly and handles API credentials in a way users should review before installing.
LLM: suspicious (medium) · VirusTotal: · 16 Sept 2026