SKILLEMALL.ai

AC seewo-courseware-generator

Generate a multi-page, editable courseware file (.enbx) that opens natively in the Seewo Whiteboard (希沃白板) desktop client, starting only from a topic/outline or free-form description of lesson content. Use whenever a user asks to 生成课件 / 做一份希沃白板课件 / 把内容做成能在希沃白板打开的课件, or provides teaching material and wants a 希沃白板-ready multi-page slideshow. The skill produces a real native .enbx (希沃私有格式, a ZIP of XML plus media), not a PPTX, so the result opens directly in 希沃白板.

ClawHub Agent Skills author: Juno v1.0.0 MIT-0 5 files body ≈ 1 232 tokens Open the sourceclawhub.ai analyzed 3 d ago

Generate a multi-page, editable courseware file (.enbx) that opens natively in the Seewo Whiteboard (希沃白板) desktop client, starting only from a topic/outline…

As a process C 62/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting

GeneratorPowerPointLearningtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
62/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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 · 0

    ✓ No critical or high findings

    Files scanned: 0. 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 62/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 13 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1232 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
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • +1No license
    • +2Single-language instructions
    • +3Description length 465: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 13 items
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 2 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    The skill coherently generates Seewo courseware files locally and does not show hidden data access, network activity, persistence, or destructive behavior.
    LLM: benign (high) · VirusTotal: · 21 Jul 2026