SKILLEMALL.ai

BA Translate

Translates and localizes text, software strings, documents, subtitles, and marketing copy between any language pair. Use when translating anything, when fixing a translation that reads machine-made, or when localizing a product: ICU plurals and gender, placeholders that must survive, string catalogs (JSON, XLIFF, .po, .strings, .xcstrings, ARB, RESX, YAML), locale codes and fallback chains, RTL and bidi breakage, CJK typography, mojibake, text expansion that overflows the UI, subtitle timing and reading speed, hreflang and multilingual SEO, glossaries, translation memory and fuzzy matches, and post-editing machine output. Use when choosing register (tu/vous, tú/usted, du/Sie, keigo), between es-ES and es-419 or zh-Hans and zh-Hant, or when a certified, legal, or medical translation carries liability. Not for writing original copy natively in one language (spanish, french, german, japanese, chinese) or generating captions from audio (video-captions).

ClawHub Agent Skills author: Iván v1.0.2 MIT-0 19 files body ≈ 6 934 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process A 82/100 · Runs to the end — weak spots: inputs and preconditions, running it twice, progress reporting

GeneratorWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
A
82/100
Runs to the end
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 19. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning body-long SKILL.md body ≈ 6934 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "changelog"

Process rating: all ten parameters 82/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 11 mutating operations with no state check
  • 70Execution cost. Instruction body is 6934 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 42 steps
  • 100Result and completion. Output format and completion criterion are stated
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 5 branches, has a failure section
  • 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 12 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
  • +3Description length 963: 120–800 characters recommended
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 42 items
  • +3Output format is stated explicitly

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
The skill is a legitimate translation/localization guide, but it automatically reads and writes broad persistent local records, including contacts, projects, and finance notes, without asking first.
LLM: suspicious (high) · VirusTotal: · 10 Sept 2026