BD li_local_pdf_translate
使用本地llama.cpp模型（如Hy-MT2-7B）批量翻译PDF文档，结合学术翻译三步法（直译→反思→雅化），支持中/英/日/韩/法/德/西/俄八大主要语言任意互译，逐页提取+翻译，按目标语言输出.md文件（Windows 平台）
使用本地llama.cpp模型（如Hy-MT2-7B）批量翻译PDF文档，结合学术翻译三步法（直译→反思→雅化），支持中/英/日/韩/法/德/西/俄八大主要语言任意互译，逐页提取+翻译，按目标语言输出.md文件（Windows 平台）
As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 0
✓ No critical or high findings
Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "display_name" - note
frontmatter-keyunknown frontmatter key "display_name_en" - note
frontmatter-keyunknown frontmatter key "description_zh" - note
frontmatter-keyunknown frontmatter key "description_en" - note
frontmatter-keyunknown frontmatter key "visibility"
Process rating: all ten parameters 41/100
- 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
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (li_local_pdf_translate) differs from the folder (li-local-pdf-translate)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 37 steps
- 100Execution cost. Instruction body is 1986 tokens
- 100Running it twice. No mutating operations
- low 15 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)
- +3Description length 117: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -2localhost URLs: will not work for another user
- +2Single-language instructions
- +4Structure: 25 headings
- +3Step-by-step instructions: 37 items
- +4Has examples (15 code blocks)
- +3All 6 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.
External checks
ClawHub: clean
This skill translates user-selected documents through a configured llama.cpp-compatible endpoint and writes Markdown outputs, with the main privacy risk being whether the configured API endpoint is truly local and trusted.
LLM: benign (high) · VirusTotal: · 5 Sept 2026