SKILLEMALL.ai

AB academic-writing-polisher

Use when researchers need a Nature-inspired, context-first workflow to polish academic paragraphs, abstracts, reviewer responses, peer-review comments, or editorial feedback. Revises for clarity, coherence, concision, and journal-ready tone while preserving author intent, avoiding invented claims or citations, and flagging ambiguity or meaning risks.

ClawHub Agent Skills author: FigPad AI v1.0.1 MIT-0 6 files body ≈ 1 195 tokens Open the sourceclawhub.ai analyzed 35 h ago

Use when researchers need a Nature-inspired, context-first workflow to polish academic paragraphs, abstracts, reviewer responses, peer-review comments, or…

As a process B 75/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

ProcedureResearchtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
96
Run on models
none yet
Process rating
B
75/100
Nearly there
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

    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

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 75/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 60Failures and branches. 2 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 40 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 1195 tokens

    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
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 352: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 40 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 96.

    External checks

    ClawHub: clean
    This is a text-only academic writing polishing skill with no executable code, credentials, hidden persistence, or unrelated data access.
    LLM: benign (high) · VirusTotal: · 9 Jun 2026