SKILLEMALL.ai

AF ppt-produce-bycodex

Create and iterate enterprise application software solution PPTs as full-page PNG slides and optional PPTX decks. Use when the user wants to start, design, generate, redraw, repair, batch-produce, or package a business/consulting/enterprise software solution presentation, especially with imagegen/gpt-image-2, PPT PNG pages, contact sheets, PPTX assembly, or 413/too-large fallback handling.

ClawHub Agent Skills author: AGICaptain v1.0.4 MIT-0 7 files body ≈ 2 322 tokens Open the sourceclawhub.ai analyzed 27 h ago

Create and iterate enterprise application software solution PPTs as full-page PNG slides and optional PPTX decks.

As a process F 52/100 · Will not run — References files that are not bundled: assets/titlebar-template/enterprise-solution-titlebar-4k.png

GeneratorPowerPointAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
99
Quality 40%
81
Run on models
none yet
Process rating
F
52/100
Will not run
References files that are not bundled: assets/titlebar-template/enterprise-solution-titlebar-4k.png
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 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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Exfiltration net-credential-use references/ppt-production-guide.md:116
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    zsh -lc 'source ~/.zshrc >/dev/null 2>&1 || true; printf "OPENAI_BASE_URL=%s\n" "${OPENAI_BASE_URL:-}"; if [ -n "${OPENAI_API_KEY:-}" ]; then echo "OPENAI_API_KEY=present"; else echo "OPENAI_API_KEY=m
    quoted

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/titlebar-template/enterprise-solution-titlebar-4k.png

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: assets/titlebar-template/enterprise-solution-titlebar-4k.png
  • 0Tools and files. 1 referenced file(s) missing: assets/titlebar-template/enterprise-solution-titlebar-4k.png
  • 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. 5 mutating operations with no state check
  • 100Steps. 60 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2322 tokens
  • low 12 top-level sections: this looks like several domains in one skill

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 392: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 60 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (2 of 3)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: suspicious
This skill is mainly a PPT-generation workflow, but it gives the agent broad access to local API configuration and external services without enough user-facing limits.
LLM: suspicious (high) · VirusTotal: · 9 Jun 2026