SKILLEMALL.ai

AB ielts-tutor

IELTS exam tutoring skill using a structured "quiz → attempt → correction → review" loop. This skill should be used when the user wants to practice IELTS writing, grammar, vocabulary, or translation exercises. Trigger phrases include "出题", "练习", "今日词汇", "今天学什么", "练写作", "练口语", "帮我改作文", "来一篇阅读", "雅思", "IELTS", or any request for English language practice and correction. Also triggers when the user submits English sentences for correction or asks for grammar/vocabulary explanations.

ClawHub Agent Skills author: Chang Liu v1.0.0 MIT-0 3 files body ≈ 1 520 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 68/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

AnalyzerLearningtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
B
68/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
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: 3. 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 68/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 3 mutating operations with no state check
    • 55Failures and branches. 1 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 39 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 1520 tokens
    • 100Progress reporting. Reports progress

    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)
    • +3Output format is not stated: the model decides each time
    • -226 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +3Description length 489: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 39 items
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: suspicious
    The tutoring instructions are mostly coherent, but the skill declares wallet access that does not fit IELTS tutoring.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026