SKILLEMALL.ai

AB language-helper

Use this skill whenever the user wants to learn how to say something in another language. Triggers include: language tags like 【日语】【英语】【韩语】【法语】【西班牙语】【德语】 followed by a Chinese sentence, or phrases like '用日语怎么说', '这句话用英语怎么说', 'how do you say X in Japanese', '翻译成日语', '日语翻译'. The skill translates the input, generates pronunciation audio via SenseAudio TTS, and provides grammar analysis with key vocabulary. Do NOT use for general translation without voice, music generation, or non-language-learning tasks.

ClawHub Agent Skills author: Igloos v1.2.2 MIT-0 6 files body ≈ 1 052 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process B 65/100 · Nearly there — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureWriting and documentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
B
65/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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: 6. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "requires"

    Process rating: all ten parameters 65/100

    • 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
    • 100Tools and files. No external tools needed
    • 100Steps. 54 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1052 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress
    • low 13 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
    • +3Output format is not stated: the model decides each time
    • -31 of 3 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 506: enough signal without eating the budget
    • +4Structure: 22 headings
    • +3Step-by-step instructions: 54 items
    • +4Has examples (12 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This is a disclosed language-learning text-to-speech skill, with optional Feishu voice-message delivery that users should configure carefully.
    LLM: benign (high) · VirusTotal: · 29 May 2026