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AF baoyu-slide-deck

Generates professional slide deck images from content. Creates outlines with style instructions, then generates individual slide images. Use when user asks to "create slides", "make a presentation", "generate deck", "slide deck", or "PPT".

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 33 files body ≈ 5 671 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Generates professional slide deck images from content.

As a process F 59/100 · Will not run — References files that are not bundled: references/dimensions/*.md, references/styles/{preset}.md, references/styles/<style>.md

GeneratorPowerPointAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
F
59/100
Will not run
References files that are not bundled: references/dimensions/*.md, references/styles/{preset}.md, references/styles/<style>.md
Tools and files w 18
0
When it triggers w 12
20
Result and completion w 14
60
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: openclaw-master-skills

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. The text references files that are not there: add them or drop the references.
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: 33. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5671 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/dimensions/*.md
  • warning missing-ref reference to a missing file: references/styles/{preset}.md
  • warning missing-ref reference to a missing file: references/styles/<style>.md
  • note edit-residue the text marks something as outdated (lines 687): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 59/100

Will not run. References files that are not bundled: references/dimensions/*.md, references/styles/{preset}.md, references/styles/<style>.md
  • 0Tools and files. 3 referenced file(s) missing: references/dimensions/*.md, references/styles/{preset}.md, references/styles/<style>.md
  • 20When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5671 tokens
  • 85Steps. 104 steps, 1 vague phrases
  • 100Failures and branches. 7 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • low 13 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (6 tags): a typed call is more reliable

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 239: enough signal without eating the budget
  • +4Structure: 38 headings
  • +3Step-by-step instructions: 104 items
  • +3Output format is stated explicitly
  • +4Has examples (27 code blocks)
  • +4Reference files are cited in the instructions (7 of 7)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.