SKILLEMALL.ai

AD oled-intelligence-portal

输入任意技术领域关键词(如"OLED"、"固态电池"、"mRNA疫苗"),自动生成该领域的情报简报门户(HTML网站)。监控的企业和技术分支由AI模型自动检索和拆解,新闻由智慧芽新闻向量检索自动获取,专利使用关键词扩展后在智慧芽专利数据库直接检索。当用户说"生成XXX情报门户"、"XXX领域情报简报"、"帮我监控XXX技术"时触发。

ClawHub Agent Skills author: yuanzhian-patsnap v1.0.0 MIT-0 7 files body ≈ 1 012 tokens Open the sourceclawhub.ai analyzed 3 d ago

输入任意技术领域关键词(如"OLED"、"固态电池"、"mRNA疫苗"),自动生成该领域的情报简报门户(HTML网站)。监控的企业和技术分支由AI模型自动检索和拆解,新闻由智慧芽新闻向量检索自动获取,专利使用关键词扩展后在智慧芽专利数据库直接检索。当用户说"生成XXX情报门户"、"XXX领域情报简报"、"帮我监控XX…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmentAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
D
46/100
Unfinished process
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

  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: 7. 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")
  • note frontmatter-key unknown frontmatter key "copyright"

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 28 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1012 tokens
  • 100Running it twice. No mutating operations

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
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 167: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (6 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

External checks

ClawHub: clean
This skill is a disclosed report generator that searches authorized Patsnap sources and writes local HTML pages, with some containment and input-sanitization caveats users should understand.
LLM: benign (medium) · VirusTotal: · 13 Aug 2026