SKILLEMALL.ai

BF generate-html-ppt

When the user asks to create an HTML PPT, presentation slides, or a deck, or convert an existing PowerPoint (.pptx) file, use this skill to generate a modern, responsive HTML presentation based on design system specifications (design.md). This includes Chinese requests such as 做PPT、幻灯片、演示文稿、网页版PPT、PPT转换.

ClawHub Agent Skills author: helloyxs v0.1.3 MIT-0 80 files body ≈ 6 845 tokens Open the sourceclawhub.ai analyzed 2 d ago

When the user asks to create an HTML PPT, presentation slides, or a deck, or convert an existing PowerPoint (.pptx) file, use this skill to generate a modern…

As a process F 47/100 · Will not run — References files that are not bundled: references/image-treatments.md, references/requirements-checklist.md, references/screenshot-framing.md

GeneratorPowerPointDesigntype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
96
Quality 40%
61
Run on models
none yet
Process rating
F
47/100
Will not run
References files that are not bundled: references/image-treatments.md, references/requirements-checklist.md, references/screenshot-framing.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Secrets in code secret-high-entropy-token README_en.md:205
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | **ECharts** (Charts) | `5.5.0` | `cdnjs` / `jsdelivr` / `unpkg` | `sha3…4NP+iEED…nr6` |
    table
  • low Secrets in code secret-high-entropy-token README_en.md:207
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | **Marked** (Markdown) | `12.0.2` | `cdnjs` / `jsdelivr` / `unpkg` | `sha384-/TQbt…aim+N78R…MVi` |
    table
  • low Secrets in code secret-high-entropy-token README.md:207
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | **ECharts** (图表引擎) | `5.5.0` | `cdnjs` / `jsdelivr` / `unpkg` | `sha3…4NP+iEED…nr6` |
    table
  • low Secrets in code secret-high-entropy-token README.md:209
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | **Marked** (Markdown 渲染) | `12.0.2` | `cdnjs` / `jsdelivr` / `unpkg` | `sha384-/TQbt…aim+N78R…MVi` |
    table

Files scanned: 49. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6845 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/image-treatments.md
  • warning missing-ref reference to a missing file: references/requirements-checklist.md
  • warning missing-ref reference to a missing file: references/screenshot-framing.md
  • warning missing-ref reference to a missing file: references/image-prompts.md
  • warning missing-ref reference to a missing file: references/checklist.md
  • warning missing-ref reference to a missing file: scripts/extract-pptx.py

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: references/image-treatments.md, references/requirements-checklist.md, references/screenshot-framing.md
  • 0Tools and files. 6 referenced file(s) missing: references/image-treatments.md, references/requirements-checklist.md, references/screenshot-framing.md
  • 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
  • 30Running it twice. 4 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 6845 tokens
  • 100Steps. 81 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • low The response is described with custom markup (3 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

  • +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
  • -212 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 305: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 81 items
  • +4Has examples (4 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: clean
The skill is a coherent HTML presentation generator, but users should be aware that generated decks may load third-party web assets and PPTX conversion extracts speaker notes.
LLM: benign (medium) · VirusTotal: · 24 Aug 2026