BD ZeeLin Auto-PPT
自动生成精美 PPT 演示文稿 — 通过 Google NotebookLM 生成图文并茂、设计感十足的 AI 幻灯片，导出 PDF 到桌面。用户需自行登录 NotebookLM 网页版。标题微软雅黑 40 号加粗，排版震撼，逻辑图清晰，内容有深度有创新，引用权威数据。配合 desearch skill 使用效果更好。Keywords: PPT, presentation, slides, NotebookLM, PDF, design, infographic, AI generated.
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
GeneratorPowerPointYouTubeInfrastructuretype and topics are labelled automatically from the skill text
This is a copy of a skill from another catalog; the rating counts the canonical one: ZeeLin Auto-PPT (ClawHub)
How to improve
- 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
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription 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 (ZeeLin Auto-PPT) differs from the folder (auto-ppt)
- 100Tools and files. No external tools needed
- 100Steps. 64 steps
- 100Execution cost. Instruction body is 1170 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
- -31 of 3 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 248: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 64 items
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.
External checks
ClawHub: suspicious
This presentation skill largely does what it advertises, but it can process every PDF on the user's Desktop without a clear per-file approval step.
LLM: suspicious (high) · VirusTotal: · 29 May 2026