BF bo-opensearch
普适网页搜索。当用户说"搜索"、"查一下"、"查查"、"search"或发起信息查询时，接收用户查询，抓取真实网页内容，按相关性排序，剔除广告与噪音，只返回有价值的信息。
普适网页搜索。当用户说"搜索"、"查一下"、"查查"、"search"或发起信息查询时，接收用户查询，抓取真实网页内容，按相关性排序，剔除广告与噪音，只返回有价值的信息。
As a process F 31/100 · Will not run — weak spots: steps, result and completion, when it triggers
ProcedureAI and agentsMarketingWriting and documentstype 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: 3. 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 31/100
- 0Steps. Prose only: no discrete steps
- 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
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1113 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)
- +3Description length 85: 120–800 characters recommended
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 26 headings
- +4Has examples (19 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.
External checks
ClawHub: suspicious
This is a real web-search skill, but it is broad enough to auto-trigger on ordinary information requests and tells the agent to log search queries and URLs without clear limits.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026