SKILLEMALL.ai

BD presentation-generator

Generate polished slide decks as self-contained HTML (and editable PowerPoint) from notes — 75 themes, 18 schema layouts, MCP craft gates. Use for pitch decks, investor updates, keynotes, product launches, sales demos, and any presentation request.

ClawHub Agent Skills author: Timur Isachenko v0.1.0 MIT-0 25 files · 2 scripts body ≈ 10 960 tokens Open the sourceclawhub.ai analyzed 35 h ago

Generate polished slide decks as self-contained HTML (and editable PowerPoint) from notes — 75 themes, 18 schema layouts, MCP craft gates.

As a process D 38/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorPowerPointAI and agentsSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
98
Quality 40%
71
Run on models
none yet
Process rating
D
38/100
Unfinished process
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

The same skill appears in 1 more place: ClawHub

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:15
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…uWm+fFRcIOgKBMiOBP+eXiy…9ab+DDKA==",
    detector
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:47
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…Mrs+Gx2t…ljA==",
    detector

Files scanned: 25. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 10960 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 38/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 20 mutating operations with no state check
  • 40Consistency. Frontmatter name (presentation-generator) differs from the folder (presentation-md)
  • 40Execution cost. Instruction body is 10960 tokens: crowds the task out of the window
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 85Steps. 114 steps, 3 vague phrases
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 19 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (8 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
  • -5TODO / placeholder text left in the skill
  • -33 of 5 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 248: enough signal without eating the budget
  • +4Structure: 43 headings
  • +3Step-by-step instructions: 114 items
  • +4Has examples (11 code blocks)
  • +4Reference files are cited in the instructions (8 of 9)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
This skill is a disclosed presentation-deck generator with optional export and public sharing features, not hidden or unrelated behavior.
LLM: benign (high) · VirusTotal: · 4 Aug 2026