SKILLEMALL.ai

AD neway-learnwa

学习娃 LearnWa — AI 数学互动教具生成器。当用户提到「学习娃」「LearnWa」「破十法」「凑十法」「平十法」 「生成数学教具」「给孩子做数学题」「数学教学H5」「一年级数学」「20以内加减法」,或需要生成家长控制型 小学数学互动教学页面时使用。生成单文件 HTML 教具,支持 3 种数学方法 × 3 种兴趣主题,家长操作、孩子观察回答。

ClawHub Agent Skills author: Neway Lau v1.0.0 MIT-0 7 files body ≈ 1 269 tokens Open the sourceclawhub.ai analyzed 15 h ago

学习娃 LearnWa — AI 数学互动教具生成器。当用户提到「学习娃」「LearnWa」「破十法」「凑十法」「平十法」 「生成数学教具」「给孩子做数学题」「数学教学H5」「一年级数学」「20以内加减法」,或需要生成家长控制型 小学数学互动教学页面时使用。生成单文件 HTML 教具,支持 3 种数学方法 × 3…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmentLearningtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
D
43/100
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")

Process rating: all ten parameters 43/100

  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 46 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1269 tokens

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 176: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 46 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This skill coherently generates local, parent-guided math lesson HTML files and shows no evidence of hidden data access, networking, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 9 Jun 2026