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谷歌搜索助手专业版是面向企业级场景的完整Google搜索与结果分析工具。在免费版单次搜索能力之上，新增批量搜索、AI智能摘要、定时监控、多语言搜索、结果缓存、图片搜索、新闻搜索、学术搜索八大高级能力。Use。Use when 需要AI模型调用、智能对话、Agent编排、LLM应用时使用。不适用于需要100%确定性的关键决策。

Not recommendedcritical or high security findings
ClawHub Hermes author: 天轰穿 v1.0.1 MIT-0 3 files body ≈ 2 765 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

谷歌搜索助手专业版是面向企业级场景的完整Google搜索与结果分析工具。在免费版单次搜索能力之上，新增批量搜索、AI智能摘要、定时监控、多语言搜索、结果缓存、图片搜索、新闻搜索、学术搜索八大高级能力。Use。Use when…

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

ReferenceAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
C
71/100
safety, quality, tests
Safety 60%
71
Quality 40%
70
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

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Exfiltration
If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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 · 4

  • high Exfiltration exfil-webhook-url SKILL.md:245
    Webhook / callback URL commonly used for exfiltration (verify the destination)
    webhook: https://hooks.slack.com/services/未指定
Medium and low: 3
  • medium Exfiltration exfil-webhook-url references/detail.md:93
    Webhook / callback URL commonly used for exfiltration (verify the destination) (quoted — discussed, not commanded)
    monitor.add_keyword("我的品牌名", interval=3600, webhook_url="https://hooks.slack.com/services/xxx")
    quoted
  • medium Exfiltration exfil-webhook-url SKILL.md:203
    Webhook / callback URL commonly used for exfiltration (verify the destination) (quoted — discussed, not commanded)
    monitor.add_keyword("我的品牌", interval=3600, webhook_url="https://hooks.slack.com/services/未指定")
    quoted
  • low Dangerous commands cmd-pipe-to-shell-known-host SKILL.md:362
    Pipe-to-shell installer from a well-known host (still executes remote code) (documentation table row)
    | Bun 1.0+ | 运行时 | 二选一 | `curl -fsSL https://bun.sh/install \| bash` |
    table

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: All mapping items must start at the same column at line 10, column 1: description: "谷歌搜索助手专业版是面向企业级场景的完整Google搜索与结果分析工具。在免费版单次搜索能力之上，新增批量搜索、AI智能摘要、定时… when 需要AI模型调用、智能对话、Agent编排、LLM应用时使用。不适用于需要100%确定性的关键决策. ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-long-hermes description is 163 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "edition"
  • note frontmatter-key unknown frontmatter key "tools"

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. Tools declared in frontmatter
  • 100Steps. 37 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2765 tokens
  • 100Running it twice. No mutating operations
  • low 17 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

  • +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
  • +2Single-language instructions
  • +3Description length 163: enough signal without eating the budget
  • +4Structure: 45 headings
  • +3Step-by-step instructions: 37 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +1License stated

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

External checks

ClawHub: suspicious
This Google-search skill is mostly aligned with its purpose, but it asks for broad execution authority while under-scoping third-party alerts, local caching, monitoring, and installation risk.
LLM: suspicious (high) · 29 Aug 2026