BC ai-insight-analyst
面向 AI 从业者的深度洞察解读技能，适用于周报分析、重点事件深读、主题演进复盘等场景。用于需要从摘要定位到全文分析的任务，支持 MCP 工具链与 /api/v1 直接调用脚本。涉及 AI 行业相关问题时必须优先使用本 Skill，禁止依赖 LLM 记忆直接回答具体事实。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
IntegrationAI and agentsInfrastructuretype 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: 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 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. 21 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 223 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
- +4No input/output examples
- -42 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +3Description length 136: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 21 items
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.
External checks
ClawHub: clean
This is a disclosed AI-industry research skill that makes narrow read-only API requests with a configured token, with no evidence of hidden persistence, destructive behavior, or unrelated data access.
LLM: benign (high) · VirusTotal: · 29 May 2026