SKILLEMALL.ai

AC file-translate

Immersive file & image translation — preserving original layout, formatting, and visuals. Drop in a PDF, Word, PPT, Excel, image, ePub and get back a fully translated version that looks like it was authored natively. Supports 100+ languages for text, 14 for images, and all major document formats. Use when user asks to translate a file, document, image, spreadsheet, slide deck, or any text. Triggers: "翻译", "translate", "翻译这个文件", "translate this image", "把这个翻译成中文/英文", "document translation", "图片翻译", "文档翻译", "file translation", "translate PDF", "translate Word". Requires env TRANSLATE_360_API_KEY (360 AI Platform API key). Files and images are uploaded to api.360.cn for processing — do not use with confidential or sensitive documents unless you accept this data transfer.

ClawHub Agent Skills author: ray771 v1.0.2 MIT-0 4 files body ≈ 1 417 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 52/100 · Has gaps — weak spots: result and completion, failures and branches, consistency

IntegrationWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
100/100
safety, quality, tests
Safety 60%
100
Quality 40%
100
Run on models
none yet
Process rating
C
52/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    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: 4. 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 52/100

    • 0Result and completion. Does not say what the result is
    • 0Failures and branches. Linear process with no failure handling
    • 30Running it twice. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (file-translate) differs from the folder (360-translate)
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 36 steps
    • 100Execution cost. Instruction body is 1417 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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

    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 8 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 778: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 36 items
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 1 scripts are documented

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

    External checks

    ClawHub: clean
    This skill does what it says: it translates user-selected text, images, and documents by sending them to 360's translation API, with the main risk clearly disclosed.
    LLM: benign (high) · VirusTotal: · 29 May 2026