AD company-research
企业/行业研究与访谈问题生成。当用户说"研究一下XX公司"、"XX行业分析"、"帮我出访谈问题"、"尽调XX"、"XX竞争格局"时激活。支持行业竞争分析、企业基本面摸底、访谈问题清单、上市公司财务分析。不用于日常新闻、股票技术分析或投资报告（分别用 daily-news、stock-analysis、family-finance）。
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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: 6. 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 49/100
- 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 (company-research) differs from the folder (company-research-cn)
- 100Tools and files. No external tools needed
- 100Steps. 51 steps
- 100Execution cost. Instruction body is 1123 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -217 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 167: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 51 items
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (3 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.
External checks
ClawHub: suspicious
This is a company-research skill, but it should go to Review because it also asks agents to give concrete investment actions and to persist sensitive research history by default.
LLM: suspicious (high) · VirusTotal: · 29 May 2026