BD clawhub-mirror-search-engine-setup
配置 ClawHub 国内镜像解决限流问题，并安装 Multi Search Engine 技能。当遇到 ClawHub 安装技能限流、访问慢、需要配置 cn.clawhub-mirror.com 镜像、安装多搜索引擎技能、或需要归档配置到知识库时使用。涵盖 CLI 参数指定镜像、环境变量配置、17 个搜索引擎使用策略、隐私搜索技巧及知识永久归档流程。即使未明确提及镜像，只要涉及 ClawHub 技能安装失败或慢，均应触发此技能。
As a process D 41/100 · Unfinished process — 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
- 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
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 41/100
- 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
- 40Consistency. Frontmatter name (clawhub-mirror-search-engine-setup) differs from the folder (clawhub-mirror-config-and-search-skill)
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 25 steps
- 100Execution cost. Instruction body is 818 tokens
- 100Running it twice. No mutating operations
- medium 4 test cases, all positive: not one "should refuse" or "should ask first"
- low No test case covers injection arriving through data
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
- +1No license
- +2Single-language instructions
- +3Description length 217: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 25 items
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.
External checks
ClawHub: suspicious
This is a mostly transparent setup guide, but it asks agents to make persistent cross-workspace and Git changes that go beyond a simple mirror or search-skill install.
LLM: suspicious (high) · VirusTotal: · 29 May 2026