SKILLEMALL.ai

BD 怎样解题

基于 George Pólya《怎样解题》方法论的思维引导工具。当用户说"这道题怎么做"、"讲下这道题"、"帮我分析这个问题"、"我不会解"、"解题思路是什么"、"帮我规划一下"、"分析一下这个问题"时触发。提供数学解题和通用思维两种模式,通过苏格拉底式提问引导用户自主走完理解→计划→执行→检验四步。

ClawHub Agent Skills author: FanX v1.0.3 MIT-0 3 files body ≈ 374 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype 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
D
49/100
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (怎样解题) differs from the folder (polya-problem-solving)
  • 100Tools and files. No external tools needed
  • 100Steps. 38 steps
  • 100Execution cost. Instruction body is 374 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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 151: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 38 items
  • +4Reference files are cited in the instructions (1 of 1)

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

External checks

ClawHub: clean
This is a low-risk Chinese problem-solving guide that only changes how the assistant asks questions and does not request system access or sensitive data.
LLM: benign (high) · VirusTotal: · 29 May 2026