AD industry_research_report
生成行业深度研究报告。当用户的请求中包含行业关键词、行业名称，并且意图是了解某个行业、生成行业研究报告、行业分析时，触发此 Skill。 典型触发场景包括但不限于：用户提到"XX行业研究"、"XX行业报告"、"帮我分析XX行业"、"XX产业深度研究"、"XX领域市场分析"等。 即使用户没有明确说"报告"二字，只要意图是围绕某个行业主体进行深度研究或分析，都应触发此 Skill。
As a process D 47/100 · Unfinished process — weak spots: when it triggers, inputs and preconditions, failures and branches
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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 47/100
- 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_report) differs from the folder (pro-research-report)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 100Steps. 45 steps
- 100Execution cost. Instruction body is 1338 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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)
- +1No license
- +2Single-language instructions
- +5Description quotes 5 example trigger phrases
- +3Description length 190: enough signal without eating the budget
- +4Structure: 26 headings
- +3Step-by-step instructions: 45 items
- +3Output format is stated explicitly
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.
External checks
ClawHub: clean
This skill is a report generator that openly performs web research and creates workspace files, with no evidence of hidden, destructive, or credential-seeking behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026