SKILLEMALL.ai

BC zayn-route

分析复杂问题,复用已有证据,判断应先使用哪个 Skill,并规划调用顺序、参数传递、停止条件和下一步动作;覆盖客户、报价、订单、售后、内部协作、市场与商业情报,以及依据参考图、视频、网页演示或实体成品进行复现前的技术机制诊断。

ClawHub Agent Skills author: zaynpeng v1.0.8 MIT-0 7 files body ≈ 3 228 tokens Open the sourceclawhub.ai analyzed 3 d ago

分析复杂问题,复用已有证据,判断应先使用哪个 Skill,并规划调用顺序、参数传递、停止条件和下一步动作;覆盖客户、报价、订单、售后、内部协作、市场与商业情报,以及依据参考图、视频、网页演示或实体成品进行复现前的技术机制诊断。

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

ProcedureData and analyticsCustomer supporttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
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")

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. 193 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3228 tokens
  • 100Running it twice. No mutating operations
  • low 26 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)
  • +3Description length 113: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 57 headings
  • +3Step-by-step instructions: 193 items
  • +4Has examples (39 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: clean
This skill is a disclosed routing guide that helps choose and sequence other skills, without installing code, running commands, or adding persistence.
LLM: benign (high) · VirusTotal: · 24 Aug 2026