AC intelligence-analyst-claw
情报内参虾 — 私人情报分析师，从信息洪流中提取有价值的信号，输出结构化脱水研报。当以下情况时使用此 Skill：(1) 需要快速了解某个行业的现状、趋势、竞争格局；(2) 评估某个公司、项目或赛道的投资价值；(3) 追踪政策法规变化对业务的影响；(4) 跟踪前沿技术发展，评估技术可行性；(5) 收集目标市场的需求、痛点、机会情报。触发关键词：帮我研究一下、这个行业怎么样、分析这份报告、这家公司值得投吗、最近有什么政策变化、这个技术靠谱吗、竞品分析、行业研究、情报、研报。
As a process C 53/100 · Has gaps — 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 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 18 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 251 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
- -212 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 238: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 18 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +3All 3 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.
External checks
ClawHub: clean
This is a disclosed market-research skill that guides web research and local analysis, with scoping and language-preference cautions but no hidden or destructive behavior found.
LLM: benign (high) · VirusTotal: · 29 May 2026