SKILLEMALL.ai

AD esl-ep-grader

Batch-grade English written homework for Chinese elementary students (Grades 3–6). Use when: (1) user submits student English written work (sentences, short paragraphs, workbooks) for correction and feedback; (2) user asks to check/grade/mark English assignments for elementary school; (3) user needs rubric-based scoring and improvement suggestions for young ESL learners. Supports parametric reuse: grade level, assignment type, scoring rubric, and language of feedback are all configurable.

ClawHub Agent Skills author: terrycarter1985 v1.0.0 MIT-0 2 files body ≈ 669 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 38/100 · Unfinished process — weak spots: steps, result and completion, when it triggers

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
D
38/100
Unfinished process
Steps w 15
0
Result and completion w 14
0
Inputs and preconditions w 11
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 38/100

    • 0Steps. Prose only: no discrete steps
    • 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
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 669 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3No numbered steps or checklist
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 496: enough signal without eating the budget
    • +4Structure: 7 headings
    • +4Has examples (4 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: clean
    This is a simple homework-grading prompt for elementary ESL work, with no code, installation steps, credentials, or hidden system access.
    LLM: benign (high) · VirusTotal: · 29 May 2026