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BF generate-presentation

Generate professional HTML and PDF presentations from markdown content, URLs, or topics. Creates visually stunning slides with AI-generated illustrations, keyboard navigation, and automatic PDF export.

modbender/skill-library-mcp Claude Code author: modbender MIT 8 files body ≈ 2 898 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Generate professional HTML and PDF presentations from markdown content, URLs, or topics.

As a process F 39/100 · Will not run — References files that are not bundled: path, templates/slide-template.html, images/filename.png

GeneratorDesigntype 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
81/100
safety, quality, tests
Safety 60%
95
Quality 40%
60
Run on models
none yet
Process rating
F
39/100
Will not run
References files that are not bundled: path, templates/slide-template.html, images/filename.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. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token mcp-servers/openai-gpt-image/package-lock.json:23
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…4SN+kc6L…Rur+zRqP…3ss+tA==",
    detector
  • low Secrets in code secret-high-entropy-token mcp-servers/openai-gpt-image/package-lock.json:63
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…ibj+tODHI5/+l06Au2Pcriv/Gmet…weg==",
    detector
  • low Secrets in code secret-high-entropy-token mcp-servers/openai-gpt-image/package-lock.json:75
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…GLi+2W/6ao+6Y7gu/RCwR…Kng==",
    detector
  • low Secrets in code secret-high-entropy-token mcp-servers/openai-gpt-image/package-lock.json:88
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…8fQ+wE2m…hIQ==",
    detector
  • low Secrets in code secret-high-entropy-token mcp-servers/openai-gpt-image/package-lock.json:100
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…9dM/mwVgvbZJaSNaRk+bshk…Kbz+IoId…W0Q==",
    detector

Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: path
  • warning missing-ref reference to a missing file: templates/slide-template.html
  • warning missing-ref reference to a missing file: images/filename.png

Process rating: all ten parameters 39/100

Will not run. References files that are not bundled: path, templates/slide-template.html, images/filename.png
  • 0Tools and files. 3 referenced file(s) missing: path, templates/slide-template.html, images/filename.png
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 5 mutating operations with no state check
  • 70Failures and branches. 5 branches
  • 85Steps. 85 steps, 2 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2898 tokens
  • 100Progress reporting. Reports progress

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 201: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 85 items
  • +4Has examples (7 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.