SKILLEMALL.ai

BF 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 body ≈ 1 266 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 49/100 · Will not run — References files that are not bundled: references/field_definitions_*.md

AnalyzerInfrastructureSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
59
Run on models
none yet
Process rating
F
49/100
Will not run
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

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 · 0

✓ No critical or high findings

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 49/100

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
  • 100Steps. 31 steps
  • 100Failures and branches. 8 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: clean
This is a coherent Riskbird/Fengniao China company lookup skill, with some disclosure and routing cautions but no artifact-backed malicious behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026