SKILLEMALL.ai

AD sota-agent

SOTA Agent is a public ClawHub SOTA-campaign skill for CV and DS work. Use it when the user says "sota agent", "state of the art benchmark scouting", or wants benchmark planning, paper triage, ablation design, and claim review for CV or data-science campaigns.

ClawHub Agent Skills author: Zakhar Pashkin v1.4.4 MIT-0 29 files · 16 scripts body ≈ 3 001 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

SOTA Agent is a public ClawHub SOTA-campaign skill for CV and DS work.

As a process D 49/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureAI and agentsMarketingPeople and hiringtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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: 29. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 49/100

    • 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
    • 30Running it twice. 13 mutating operations with no state check
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 144 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3001 tokens
    • low The response is described with custom markup (21 tags): a typed call is more reliable

    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
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 2 example trigger phrases
    • +3Description length 260: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 144 items
    • +4Reference files are cited in the instructions (10 of 10)
    • +3All 16 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This skill is a local SOTA research-planning helper with disclosed campaign file generation, but users should not rely on its rendered summaries as complete secret-redaction tooling.
    LLM: benign (high) · VirusTotal: · 12 Sept 2026