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BB ppt-agent

Professional full-process PPT presentation AI generation assistant. Simulates the complete workflow of a top-tier PPT design company (requirements research -> information gathering -> outline planning -> draft planning -> design draft), outputting high-quality HTML presentations. Triggered when users mention making PPT, presentations, slides, training materials, roadshow decks, or product introduction pages. Also applies when users say "help me make an introduction about X" or "I need to present Y to my boss" - any scenario requiring structured multi-page presentation content.

ClawHub Agent Skills author: CerealAxis v1.0.1 MIT-0 24 files body ≈ 6 492 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process B 71/100 · Nearly there — weak spots: consistency, running it twice

ProcedurePowerPointInfrastructureAI 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
B
88/100
safety, quality, tests
Safety 60%
92
Quality 40%
83
Run on models
none yet
Process rating
B
71/100
Nearly there
Running it twice w 4
30
Consistency w 8
40
Tools and files w 18
60
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.
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 · 8

✓ No critical or high findings

Medium and low: 8
  • low Secrets in code secret-high-entropy-token package-lock.json:204
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…bDg+dP8b/oWFA…xwa/Y3nMBaxVKbB/NsA==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:559
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…g95+dndv…4vA+Wb2w==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:692
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…bKX+KS9G…yMA/NhKJ…RGz/Q==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:753
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…Wwy+ghLE…vfU/YnxW…fdg==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:781
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…sGd+f4+f7C+Nik/MCk2…MPT/yRKvg++FZhQ…GqA==",
    detector
  • low Dangerous commands cmd-privilege scripts/html2png.py:117
    Privilege escalation / world-writable permissions (detector / deny-list definition; string literal in code, not executed)
    "args": ["--no-sandbox", "--disable-setuid-sandbox", "--disable-dev-shm-usage"]
    detectorcode literal
  • low Dangerous commands cmd-privilege scripts/html2svg.py:58
    Privilege escalation / world-writable permissions (detector / deny-list definition; string literal in code, not executed)
    args: ['--no-sandbox', '--disable-setuid-sandbox', '--disable-dev-shm-usage',
    detectorcode literal
  • low Dangerous commands cmd-privilege scripts/visual_qa.py:102
    Privilege escalation / world-writable permissions (detector / deny-list definition; string literal in code, not executed)
    "args": ["--no-sandbox", "--disable-setuid-sandbox"]
    detectorcode literal

Files scanned: 24. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6492 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 71/100

  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (ppt-agent) differs from the folder (powerpoint-generator)
  • 60Tools and files. Uses tools (bash, python, node) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 6492 tokens
  • 100Steps. 50 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • 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

  • +4Description does not say when NOT to use the skill (false activations)
  • -36 of 12 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 583: enough signal without eating the budget
  • +4Structure: 37 headings
  • +3Step-by-step instructions: 50 items
  • +3Output format is stated explicitly
  • +4Has examples (17 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

External checks

ClawHub: suspicious
This PPT-generation skill is mostly coherent, but it should be reviewed because it can auto-run broad workflows, install packages, execute shell commands, and send slide-related data to external services.
LLM: suspicious (high) · VirusTotal: · 29 May 2026