SKILLEMALL.ai

AC deepseek-web-query

使用 DeepSeek 网页版进行互联网查询,分担大模型请求和搜索负担。当用户需要查询最新信息、一般性知识、代码问题、文本分析等,或明确说"用 DeepSeek 查一下"、"联网搜索"、"查下最新"等时触发此技能。特别地,如果提问以"ds:"或"ds:"开头,优先使用此技能。通过 Chrome DevTools MCP 控制浏览器与 DeepSeek 交互,自动检测登录状态并提示用户,保持浏览器会话复用,使用 evaluate_script 提取 Markdown 内容直接返回。

ClawHub Agent Skills author: andeymei v1.0.0 MIT-0 5 files body ≈ 2 558 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    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: 5. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    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. 118 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2558 tokens
    • 100Running it twice. No mutating operations
    • low 12 top-level sections: this looks like several domains in one skill

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -2localhost URLs: will not work for another user
    • -32 of 2 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 2 example trigger phrases
    • +3Description length 242: enough signal without eating the budget
    • +4Structure: 40 headings
    • +3Step-by-step instructions: 118 items
    • +4Has examples (28 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: suspicious
    This skill appears intended to query DeepSeek, but it can send broad user prompts through a logged-in browser session, read clipboard content, and change local MCP tooling without enough guardrails.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026