SKILLEMALL.ai

AB journal-selector

Suggest optimal academic venues for paper submission based on paper content, novelty level, and author's goals. Activated when Chopin asks 'which journal should I submit to', 'help me find the right venue', or shares a draft seeking publication advice. Input: paper draft, abstract, or key contributions. Output: ranked list of 5-8 suitable venues with fit score, rejection risk, review speed, and reasoning. Use when Chopin is deciding where to submit a paper or comparing venues.

ClawHub Agent Skills author: Chopin v1.0.0 MIT-0 3 files body ≈ 906 tokens Open the sourceclawhub.ai analyzed 2 d ago

Suggest optimal academic venues for paper submission based on paper content, novelty level, and author's goals.

As a process B 75/100 · Nearly there — weak spots: when it triggers, failures and branches, progress reporting

ProcedurePersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
B
75/100
Nearly there
Failures and branches w 10
0
Progress reporting w 2
0
When it triggers w 12
20
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 75/100

    • 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
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 46 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 906 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)
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 481: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 46 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This skill is a markdown-only academic journal recommendation helper with no hidden system access or executable behavior found.
    LLM: benign (high) · VirusTotal: · 29 May 2026