SKILLEMALL.ai

AD auto-geogebra

Use when 需要把高校数学教学创意转化为可运行的 GeoGebra 动态演示/课件/动画:设计交互变量与滑块、生成并验证 GeoGebra 指令、导出 .ggb 文件(覆盖《高等数学》《线性代数》《概率论与数理统计》与数学专业课程)。触发词:GeoGebra 演示、ggb 课件、动态演示制作、滑块与参数设计、指令校验、导数/积分/线性变换/概率模拟类演示等。不要用于非数学教学用途,也不替代教师自己的教学设计。

ClawHub Agent Skills author: 张敬信 v1.4.2 MIT-0 39 files body ≈ 3 270 tokens Open the sourceclawhub.ai analyzed 19 h ago

ggb 文件(覆盖《高等数学》《线性代数》《概率论与数理统计》与数学专业课程)。触发词:GeoGebra 演示、ggb 课件、动态演示制作、滑块与参数设计、指令校验、导数/积分/线性变换/概率模拟类演示等。不要用于非数学教学用途,也不替代教师自己的教学设计。

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

ProcedureLaTeXSoftware developmentAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
98
Quality 40%
88
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

    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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Secrets in code secret-high-entropy-token README.en.md:9
      High-entropy token-like string (may be an id, hash or a credential)
      [![Agent Skills](https://img.shields.io/badge/Agent%20Sk…let)](SKILL.md)
    • low Secrets in code secret-high-entropy-token README.md:9
      High-entropy token-like string (may be an id, hash or a credential)
      [![Agent Skills](https://img.shields.io/badge/Agent%20Sk…let)](SKILL.md)

    Files scanned: 39. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    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 (bash, python, node) that frontmatter does not declare
    • 100Steps. 110 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3270 tokens
    • 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
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • +2Single-language instructions
    • +3Description length 209: enough signal without eating the budget
    • +4Structure: 32 headings
    • +3Step-by-step instructions: 110 items
    • +4Has examples (6 code blocks)
    • +4Reference files are cited in the instructions (6 of 6)
    • +3All 4 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This skill is a coherent GeoGebra teaching-demo helper; its command validation, local export tools, examples, and data files match the stated purpose, with some supply-chain caution around unpinned remote GeoGebra JavaScript and unpinned install guidance.
    LLM: benign (high) · VirusTotal: · 14 Sept 2026