SKILLEMALL.ai

BC chukonu-web-search

通过 Chukonu remote MCP 的 search 与 research 获取网页、学术、专利、金融和中国法律法规证据。用于需要外部、实时、可引用信息的搜索任务,以及财经新闻与金融研究、法律法规检索、事实核验、反证检索、PDF 全文深读、覆盖评估或持久化多轮研究;依据结构化 evidence、retrieval_assessment 与 research dossier 作答。

ClawHub Agent Skills author: hehq v1.1.4 MIT-0 2 files body ≈ 2 166 tokens Open the sourceclawhub.ai analyzed 2 d ago

通过 Chukonu remote MCP 的 search 与 research 获取网页、学术、专利、金融和中国法律法规证据。用于需要外部、实时、可引用信息的搜索任务,以及财经新闻与金融研究、法律法规检索、事实核验、反证检索、PDF 全文深读、覆盖评估或持久化多轮研究;依据结构化…

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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 56/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 6 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Tools and files. No external tools needed
  • 100Steps. 50 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2166 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 195: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 50 items
  • +4Has examples (10 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This skill is a disclosed connector for a remote search and research MCP service, with OAuth setup and usage boundaries that fit its stated purpose.
LLM: benign (high) · VirusTotal: · 9 Sept 2026