Individual skill
ab-readout
Read the first-run Builder credits experiment output. Use for first-run onboarding experiment analysis or the weekly radar report.
templates/analytics/.agents/skills/ab-readout/SKILL.md
Source commit 3ec46d2df6a396c23a8e910c0ac3c2f13f574958
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 8, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 7,646
- Repository last updated
- Nov 8, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agents Repository topic
- ai Repository topic
- react Repository topic
- agent-native Repository topic
- typescript Repository topic
- agent-framework Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- framework Repository topic
- generative-ui Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 831 bytes
Read excerpt
# A/B readout
- Run `pnpm --filter analytics radar:ab --experiment first_run_builder_credits`.
- Verify the sample-ratio result and each arm's denominator before comparing
rates. Under the configured minimum arm size, report not enough data.
- Read the 95% confidence interval and two-proportion p-value beside the raw
counts. D1 and D7 only use mature cohorts.
- Keep per-app entry denominators separate from experiment-wide exposure counts.
State the observation window and note the overlapping Clips recording
experiment when interpreting Clips results.
- Report association only. Do not claim the credits variant caused a change.