BF industry-intel-assistant
行业情报收集与分析助手。自动监控特定行业动态、抓取热点资讯、生成结构化情报简报，并支持多渠道推送。当用户需要：监控某行业最新动态、追踪竞品消息、抓取AI/科技/电商等行业情报、生成每日/每周情报简报、搭建企业级资讯分发体系时使用此技能。核心功能：(1) Tavily搜索获取行业资讯 (2) 结构化简报生成 (3) 多通道推送（企业微信/飞书/钉钉） (4) 定时任务编排。
As a process F 33/100 · Will not run — References files that are not bundled: 链接
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
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") - warning
missing-refreference to a missing file: 链接
Process rating: all ten parameters 33/100
Will not run. References files that are not bundled: 链接
- 0Tools and files. 1 referenced file(s) missing: 链接
- 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
- 100Steps. 23 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 729 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
- +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
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +3Description length 187: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 23 items
- +4Has examples (11 code blocks)
- +3All 3 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.
External checks
ClawHub: suspicious
This skill appears purpose-aligned for automated intelligence reports, but it needs Review because its scheduling script may allow shell command injection and its persistent external delivery behavior is under-scoped.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026