AC 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.
As a process C 56/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice
AnalyzerAI and agentsMarketingPeople and hiringtype and topics are labelled automatically from the skill text
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-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 56/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 14 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
- 70Failures and branches. 8 branches
- 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
The available scan inputs show no concrete malicious or suspicious behavior, and the pending VirusTotal result is not a negative signal by itself.
LLM: benign (medium) · VirusTotal: · 29 May 2026