SKILLEMALL.ai

AB eng-hw-grader

Grade English written homework for elementary students (grades 3-6). Use when correcting or evaluating English written assignments such as spelling, fill-in-the-blank, sentence writing, short paragraphs, or grammar exercises for young learners. Triggers on phrases like "grade homework", "correct English assignment", "check my kid's English work", "批改英语作业".

ClawHub Agent Skills author: terrycarter1985 v1.0.0 MIT-0 2 files body ≈ 735 tokens Open the sourceclawhub.ai↗ analyzed 15 d ago

Grade English written homework for elementary students (grades 3-6).

As a process B 71/100 · Nearly there — weak spots: result and completion, failures and branches, progress reporting

AnalyzerAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
B
71/100
Nearly there
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
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: 2. 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 71/100

    • 0Result and completion. Does not say what the result is
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 6 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 735 tokens
    • 100Running it twice. No mutating operations

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +3Description length 358: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 6 items
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This skill is a simple homework-grading prompt with no code execution, network access, credential access, or persistence, though its prompt template could be more careful about untrusted student text.
    LLM: benign (high) · VirusTotal: · 16 Sept 2026