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OKR brainstorming and validation using the Radical Focus framework — outcome objectives, measurable key results, counter-metrics.
Passed 19 of 23 test cases with the skill, and 9 of 23 without it.
and 7 more in the full report
10 fixed9 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
Which methodology and author serves as the core framework for this OKR brainstorming approach?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies Christina Wodtke or Radical Focus as the core framework. | Missed | Passed |
The instructions your model reads when the skill loads.
The agent generates and validates outcome-focused OKR sets using Christina Wodtke's Radical Focus methodology. It produces inspirational objectives with measurable key results, applies counter-metric tests, and scores quality against proven criteria.
okr_validator.py scores sets and flags disguised tasks, missing metrics, output-framed KRs, and missing counter-metricsBefore generating the OKR sets, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
python scripts/okr_validator.py --input okrs.json # validate & score
python scripts/okr_validator.py --demo # built-in good/bad demo
Any OKR set scoring below 70% must be revised before committing. See the references for the full workflow and input schema.
Load the reference that matches the task — keep this file lean and pull detail on demand:
test cases passed, vs 9 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.