AC epub-bilingual-converter-skill
Process EPUB files into structured extraction JSON, guide AI paragraph-aligned translation and summary filling, then assemble bilingual EPUBs with target-language summaries and report.txt. Use when an agent needs to convert books, magazines, newsletters, Calibre-generated EPUBs, The Economist-style EPUBs, or other EPUB sources into bilingual editions while preserving spine order, images, CSS, TOC/index pages, and one-to-one paragraph alignment.
Process EPUB files into structured extraction JSON, guide AI paragraph-aligned translation and summary filling, then assemble bilingual EPUBs with…
As a process C 62/100 · Has gaps — weak spots: when it triggers, consistency, running it twice
How to improve
- 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 · 0
✓ No critical or high findings
Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 62/100
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 3 mutating operations with no state check
- 40Consistency. Frontmatter name (epub-bilingual-converter-skill) differs from the folder (epub-bilingual-convert-skill)
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 85Steps. 78 steps, 1 vague phrases
- 100Failures and branches. 5 branches, has a failure section
- 100Execution cost. Instruction body is 3185 tokens
- low 11 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)
- -31 of 4 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 448: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 78 items
- +3Output format is stated explicitly
- +4Has examples (12 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.