SKILLEMALL.ai

BF product-experimentation

Run end-to-end product experiments from assumption to decision: translate assumptions into testable hypotheses and experiment briefs, select the right method among qualitative interviews, prototypes, concierge tests, fake doors, feature flags, and A/B tests, and produce readouts that update the roadmap and decision record. Do not use when a qualitative or prototype test is the clearly right answer without statistical measurement; do not prescribe A/B testing by default; do not treat statistical significance as the only decision criterion or hide ethical and guardrail considerations.

magnus919/agent-skills Agent Skills author: magnus919 MIT 11 files body ≈ 2 319 tokens Open the sourcegithub.com↗ analyzed 27 h ago

Run end-to-end product experiments from assumption to decision: translate assumptions into testable hypotheses and experiment briefs, select the right method…

As a process F 55/100 · Will not run — References files that are not bundled: ../data-scientist/SKILL.md, ../release-engineering/SKILL.md, ../product-design-and-ux/SKILL.md

ProcedureData and analyticsWriting and documentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
F
55/100
Will not run
References files that are not bundled: ../data-scientist/SKILL.md, ../release-engineering/SKILL.md, ../product-design-and-ux/SKILL.md
Tools and files w 18
0
Inputs and preconditions w 11
0
When it triggers w 12
50
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • 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: 10. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../data-scientist/SKILL.md
  • warning missing-ref reference to a missing file: ../release-engineering/SKILL.md
  • warning missing-ref reference to a missing file: ../product-design-and-ux/SKILL.md
  • warning missing-ref reference to a missing file: ../financial-modeling/SKILL.md
  • warning missing-ref reference to a missing file: ../product-methodology/SKILL.md

Process rating: all ten parameters 55/100

Will not run. References files that are not bundled: ../data-scientist/SKILL.md, ../release-engineering/SKILL.md, ../product-design-and-ux/SKILL.md
  • 0Tools and files. 5 referenced file(s) missing: ../data-scientist/SKILL.md, ../release-engineering/SKILL.md, ../product-design-and-ux/SKILL.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 50When it triggers. No condition that starts the skill
  • 55Failures and branches. 1 branches
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 17 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2319 tokens
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • low No test case covers injection arriving through data

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
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 589: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 17 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.