SKILLEMALL.ai

BC competitive-intel-report

汽车NVH声学密封与结构增强件竞争情报HTML报告生成器。输入我方公司名称、竞争对手列表及专利检索结果,自动生成与V12版本风格完全一致的浅色交互式HTML情报简报,内嵌纯CSS图文图表(无外部依赖)、执行摘要KPI直展详情、SWOT分析、专利全景对比、威胁矩阵、应对建议等10大模块,所有专利链接可直接跳转智慧芽PatSnap。

ClawHub Agent Skills author: yuanzhian-patsnap v1.0.0 MIT-0 7 files body ≈ 324 tokens Open the sourceclawhub.ai analyzed 3 d ago

汽车NVH声学密封与结构增强件竞争情报HTML报告生成器。输入我方公司名称、竞争对手列表及专利检索结果,自动生成与V12版本风格完全一致的浅色交互式HTML情报简报,内嵌纯CSS图文图表(无外部依赖)、执行摘要KPI直展详情、SWOT分析、专利全景对比、威胁矩阵、应对建议等10大模块,所有专利链接可直接跳转智慧芽Pa…

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

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
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

  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 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. 15 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 324 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

  • +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
  • +4No input/output examples
  • -32 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 165: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 15 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: suspicious
The skill appears to generate a static report while presenting it as data-driven competitive intelligence, so users should review it carefully before relying on it.
LLM: suspicious (high) · VirusTotal: · 13 Aug 2026