BD industry-research
行业深度研究工具。当用户要求"研究XX行业"、"分析XX商品"、"行业研究报告"时触发。自动化搜集指定商品/行业的价格走势、成因分析、上下游产业链、重大新闻、A股上市公司列表及财务分析（营收/毛利润占比）、价格波动对各公司的影响（受益/受损）、投资机会与风险提示，并附重点公司换手率分析及技术面分析（K线形态+均线排列）。输出10个维度的结构化研究报告。
As a process D 46/100 · 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: 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 46/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (industry-research) differs from the folder (industry-research-cn)
- 100Tools and files. No external tools needed
- 100Steps. 39 steps
- 100Execution cost. Instruction body is 693 tokens
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
- -41 reference files, but SKILL.md never points to them: the model will not open them
- -31 of 4 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 177: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 39 items
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.
External checks
ClawHub: clean
This skill appears to be a legitimate industry research helper that uses public web and market data, with one narrow caution about editing its own stock-mapping script.
LLM: benign (high) · VirusTotal: · 29 May 2026