BF china-company-search-fengniao
企业查询、工商查询、公司查询、企业信息查询与企业风险查询 Skill。风鸟 Fengniao（Riskbird）支持查公司基本信息、法人、股东、主要人员、对外投资、工商变更、企业信用，以及被执行、失信、限高、经营异常、严重违法、行政处罚等风险数据，适用于企业尽调、合作方背景调查、供应商准入、客户风险识别、签约前核查等场景，也适合企查查、天眼查、爱企查类需求。 支持输入企业简称或企业全称，先做企业模糊搜索，再查询具体维度数据。
企业查询、工商查询、公司查询、企业信息查询与企业风险查询 Skill。风鸟…
As a process F 31/100 · Will not run — References files that are not bundled: references/field_definitions_*.md
The same skill appears in 1 more place: ClawHub
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: references/field_definitions_*.md - note
frontmatter-keyunknown frontmatter key "keywords" - note
frontmatter-keyunknown frontmatter key "env" - note
frontmatter-keyunknown frontmatter key "security" - note
frontmatter-keyunknown frontmatter key "auto_invoke" - note
frontmatter-keyunknown frontmatter key "examples"
Process rating: all ten parameters 31/100
- 0Tools and files. 1 referenced file(s) missing: references/field_definitions_*.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 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
- 40Consistency. Frontmatter name (china-company-search-fengniao) differs from the folder (company-search-fengniao)
- 100Steps. 35 steps
- 100Execution cost. Instruction body is 583 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
- -44 reference files, but SKILL.md never points to them: the model will not open them
- -31 of 3 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 214: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 35 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.