BD zayn-company-fit
基于企业公开研究、合作风险、历史业务证据和我方产品、供应、交付与售后能力，判断潜在客户、供应商或合作伙伴的匹配程度，说明匹配原因、风险、信息缺口和下一步；不重新执行完整公开调查，也不以单一总分替代判断。
基于企业公开研究、合作风险、历史业务证据和我方产品、供应、交付与售后能力，判断潜在客户、供应商或合作伙伴的匹配程度，说明匹配原因、风险、信息缺口和下一步；不重新执行完整公开调查，也不以单一总分替代判断。
As a process D 38/100 · Unfinished process — weak spots: steps, result and completion, when it triggers
Referencetype and topics are labelled automatically from the skill text
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 7. 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")
Process rating: all ten parameters 38/100
- 0Steps. Prose only: no discrete steps
- 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
- 100Tools and files. No external tools needed
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 163 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)
- +3Description length 101: 120–800 characters recommended
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Structure: 5 headings
Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.
External checks
ClawHub: clean
This skill is a scoped business-fit analysis helper and does not show hidden automation, credential use, destructive behavior, or persistence.
LLM: benign (high) · VirusTotal: · 4 Aug 2026