SKILLEMALL.ai

BD openmaic-classroom

把一个教学主题、课程材料或教学目标转化为可直接授课的互动课堂方案,包含分层教学大纲、讲解页、互动活动、随堂测验、AI教师与同伴角色、课后巩固。用户提出备课、生成课程、做课件/互动课堂/测验、基于材料设计教学活动时使用。借鉴 OpenMAIC 的多智能体课堂、幻灯片、测验、互动模拟与项目式学习能力;本 Skill 独立运行,不要求安装 OpenMAIC。

ClawHub Agent Skills author: xuhaolong123456 v1.0.0 MIT-0 5 files · 1 script body ≈ 448 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

把一个教学主题、课程材料或教学目标转化为可直接授课的互动课堂方案,包含分层教学大纲、讲解页、互动活动、随堂测验、AI教师与同伴角色、课后巩固。用户提出备课、生成课程、做课件/互动课堂/测验、基于材料设计教学活动时使用。借鉴 OpenMAIC 的多智能体课堂、幻灯片、测验、互动模拟与项目式学习能力;本 Skill…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsLearningtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
D
46/100
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: 5. 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 46/100

  • 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 23 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 448 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

  • +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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 177: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 23 items
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This is a disclosed classroom lesson-design skill with a small local JSON validator and no evidence of hidden access, persistence, exfiltration, or destructive behavior.
LLM: benign (high) · VirusTotal: · 15 Sept 2026