SKILLEMALL.ai

BC research-xcorbit

通用产品市场调研 Skill,适用于新产品、新硬件、AI产品、App、IP文创、消费品、B端工具、跨行业创新形态的系统化市场调研与产品机会判断。当用户要求调研某个产品/品类/商业机会/新形态,或询问“这个产品能不能做、市场怎么样、竞品有哪些、应该怎么定位、MVP怎么做、近两年有没有新产品出现”时使用。本 Skill 强制纳入最新信息、平台全域扫描、跨品类类比、信源可信度、华为式“五看三定”战略分析,并输出可决策的结构化报告。

ClawHub Agent Skills author: TraceVan v1.0.0 MIT-0 2 files body ≈ 2 043 tokens Open the sourceclawhub.ai analyzed 33 h ago

通用产品市场调研 Skill,适用于新产品、新硬件、AI产品、App、IP文创、消费品、B端工具、跨行业创新形态的系统化市场调研与产品机会判断。当用户要求调研某个产品/品类/商业机会/新形态,或询问“这个产品能不能做、市场怎么样、竞品有哪些、应该怎么定位、MVP怎么做、近两年有没有新产品出现”时使用。本 Skill…

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

ProcedureCommerceCustomer supporttype 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
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: 0. 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 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. 226 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2043 tokens
  • 100Running it twice. No mutating operations
  • low 11 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 214: enough signal without eating the budget
  • +4Structure: 39 headings
  • +3Step-by-step instructions: 226 items
  • +4Has examples (2 code blocks)

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

External checks

ClawHub: clean
This is a market-research guidance skill with no executable code, persistence, credential access, or hidden privileged behavior.
LLM: benign (high) · VirusTotal: · 10 Jun 2026