AD doc-holmes
Layout-preserving precise translation for large PDFs. Keeps formulas, figures, tables, TOC and annotations intact; outputs a bilingual side-by-side PDF plus a pure-translation PDF. Tier-A documents also support a zero-dependency direct mode (extract, translate, apply - no engine, no API key) and one-command setup. Every file is triaged first into tier A (clean born-digital, high fidelity), tier B (noisy text layer, translated with a noise report), tier C (scanned/image-on ly, experimental OCR channel marked preview quality). Runs the BabelDOC engine (pdf2zh-next) as a subprocess on any OpenAI-compatible endpoint you configure (bring your own key; none bundled ). Batch mode ships resume, per-file timeout, audit log and rollback. Triggers include PDF tran slation, PDF to Chinese, translate paper, bilingual PDF, side-by-side translation, keep origina l layout, layout preserved, formula preservation, scanned PDF translation, medical literature t ranslation, batch PDF translate.
Layout-preserving precise translation for large PDFs.
As a process D 48/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, 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: 30. 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 48/100
- 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. 3 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 70Execution cost. Instruction body is 4044 tokens
- 85Steps. 22 steps, 1 vague phrases
- 100Consistency. Name and required fields are in place
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 13 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (4 tags): a typed call is more reliable
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)
- +3Description length 988: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +4Structure: 14 headings
- +3Step-by-step instructions: 22 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.