BD senior-data-scientist
Experiment sizing, feature profiling with leakage checks, and model evaluation from saved predictions, plus causal-inference workflows. Use when sizing an A/B test, vetting features, or scoring a model before release.
Experiment sizing, feature profiling with leakage checks, and model evaluation from saved predictions, plus causal-inference workflows.
As a process D 46/100 · Unfinished process — References files that are not bundled: references/*.md
How to improve
- The text references files that are not there: add them or drop the references.
- 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: 14. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: references/*.md
Process rating: all ten parameters 46/100
- 0Tools and files. 1 referenced file(s) missing: references/*.md
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 11 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 55Failures and branches. 1 branches
- 100Steps. 29 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2396 tokens
- 100Progress reporting. Reports progress
- low 10 top-level sections: this looks like several domains in one skill
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)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +2Single-language instructions
- +3Description length 217: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 29 items
- +4Reference files are cited in the instructions (5 of 5)
- +3All 3 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.