SKILLEMALL.ai

BD 备课

为信息学奥赛培训(NOI/CSP/GESP)准备教学材料的备课引导框架。 基于 ADDIE 教学设计模型(Analysis-Design-Development-Implementation-Evaluation), 专门针对14岁高中生设计,提供质量参照和思考维度,而非固定模板。 AI 应根据课程内容选择最合适的表达方式,避免千篇一律。

ClawHub Agent Skills author: fslong v2.1.0 MIT-0 12 files body ≈ 1 291 tokens Open the sourceclawhub.ai analyzed 2 d ago

为信息学奥赛培训(NOI/CSP/GESP)准备教学材料的备课引导框架。 基于 ADDIE 教学设计模型(Analysis-Design-Development-Implementation-Evaluation), 专门针对14岁高中生设计,提供质量参照和思考维度,而非固定模板。 AI…

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

AnalyzerWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
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: 0. 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 (备课) differs from the folder (prepkit)
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 25 steps
  • 100Execution cost. Instruction body is 1291 tokens
  • 100Running it twice. No mutating operations
  • low 13 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 170: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
This skill is a disclosed lesson-preparation guide whose file editing and asset-handling notes are mostly aligned with creating teaching materials.
LLM: benign (high) · VirusTotal: · 23 Jun 2026