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BF kdp-generator

Generate Amazon KDP compatible books - both e-books from Markdown and low-content books (journals, planners, log books). Use when the user needs to publish books on Amazon Kindle, create low-content books for passive income, generate journal interiors, design book covers, AI cover prompts, or prepare files for KDP upload. Supports EPUB conversion, low-content PDF generation (interior pages), metadata generation (keywords, categories, pricing), and batch production. Make sure to use this skill whenever the user mentions KDP publishing, low-content books, journals, planners, notebooks, activity books, log books, Amazon book publishing, book cover design, book metadata, or profitable publishing niches.

ClawHub Agent Skills author: timyljob2011-sudo v1.0.0 MIT-0 26 files body ≈ 2 469 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 41/100 · Will not run — References files that are not bundled: scripts/generate_cover.py, scripts/md2epub.py, scripts/generate_metadata.py

GeneratorPersonal productivityAI 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
87/100
safety, quality, tests
Safety 60%
98
Quality 40%
70
Run on models
none yet
Process rating
F
41/100
Will not run
References files that are not bundled: scripts/generate_cover.py, scripts/md2epub.py, scripts/generate_metadata.py
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
  • 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 generate_activity_cover_pdf.py:88
    High-entropy token-like string (may be an id, hash or a credential)
    COVE…-20, COVE…-20],
  • low Secrets in code secret-high-entropy-token generate_activity_cover.py:90
    High-entropy token-like string (may be an id, hash or a credential)
    COVE…-20, COVE…-20],

Files scanned: 26. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/generate_cover.py
  • warning missing-ref reference to a missing file: scripts/md2epub.py
  • warning missing-ref reference to a missing file: scripts/generate_metadata.py

Process rating: all ten parameters 41/100

Will not run. References files that are not bundled: scripts/generate_cover.py, scripts/md2epub.py, scripts/generate_metadata.py
  • 0Tools and files. 3 referenced file(s) missing: scripts/generate_cover.py, scripts/md2epub.py, scripts/generate_metadata.py
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 54 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2469 tokens
  • 100Running it twice. No mutating operations
  • low 14 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
  • -226 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 708: enough signal without eating the budget
  • +4Structure: 39 headings
  • +3Step-by-step instructions: 54 items
  • +4Has examples (20 code blocks)

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

External checks

ClawHub: suspicious
This is mostly a local KDP book-generation skill, but it includes unsafe watermark-removal guidance and overly broad activation rules that users should review before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026