SKILLEMALL.ai

AC linkfox-tsearch-search

网络搜索、在线检索、实时信息查询、搜索引擎搜索、Reddit等社区平台讨论、外部站点帖子和热门话题。当用户需要搜索网络上的最新信息、查找近期新闻或趋势、查询实时数据、通过搜索引擎调研话题、浏览Reddit或社区讨论、发现外部站点帖子和热门话题、获取任何在线内容、web search, online lookup, real-time information, news search, Reddit, trending topics, search engine时触发此技能。即使用户未明确说"搜索",只要其意图涉及获取实时网络信息或核实当前事实,也应触发此技能。

ClawHub Agent Skills author: linkfox-ai v1.0.6 MIT-0 6 files body ≈ 1 575 tokens Open the sourceclawhub.ai analyzed 2 d ago

网络搜索、在线检索、实时信息查询、搜索引擎搜索、Reddit等社区平台讨论、外部站点帖子和热门话题。当用户需要搜索网络上的最新信息、查找近期新闻或趋势、查询实时数据、通过搜索引擎调研话题、浏览Reddit或社区讨论、发现外部站点帖子和热门话题、获取任何在线内容、web search, online lookup…

As a process C 52/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

ProcedureWriting and documentsData and analyticsMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
C
52/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

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

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 52/100

  • 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
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 29 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1575 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)
  • -32 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 283: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 29 items
  • +3Output format is stated explicitly
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
This is a real web-search skill, but it also handles phone-code login, API-key issuance, payments, automatic feedback reporting, and local result storage in ways users should review carefully before installing.
LLM: suspicious (high) · 14 Aug 2026