skills/brand-voice from rampstackco/claude-skills
Voice tasks, run with the skill loaded and without it, on the same task pairs.
Identity pin
- Repository
- rampstackco/claude-skills
- Path
- skills/brand-voice
- Commit
0479242522549dfdb389bb9b7807ad4d6016ffb7- Content hash
05eb2402e3e2459be9809c698160bb83702bfcb53c871df1cd9e18f59fb5c0cd- Date tested
- not yet tested
The pin is the whole of this skill's identity here. It resolves at https://github.com/rampstackco/claude-skills/tree/0479242522549dfdb389bb9b7807ad4d6016ffb7/skills/brand-voice, and the content hash is a sha256 over exactly the text the with arm was given. Nothing else about the skill appears on this site.
What was claimed
- Loading skills/brand-voice from rampstackco/claude-skills improves outputs on voice tasks.
Pass criterion: With-arm win rate at or above 0.60 across the same 10 briefs, with the interval excluding a rate of 0.50. Scale: unit. A win rate, bounded at 0 and 1, which is the unit scale. The bridge from a preference to the two arm means status_v1 needs is stated once in src/scoring/paired.ts and nowhere else.
PAIRED BLIND COMPARISON ONLY. There is no deterministic score for voice and none is invented. The grader is never asked how good an output is, only which of two it prefers, so no absolute score exists to render.
Injected context tokens
| Arm | Context characters | Injected context tokens |
|---|---|---|
| without | 0 | 0 |
| with | 22,306 | 5,236 |
The character count is exact: it is the length of the text the with arm is given, and the content hash above is a sha256 over that same text. The token figure is an estimate at 4.26 characters per token, the ratio the phase 1 run measured over 3,120 calls, and it is labelled an estimate until a run reports its own token counts. The without arm is given the identical prompt and nothing else, so its zero is a measurement rather than a missing value.
Not yet measured
No run records exist for this skill. The instrument is built and committed, the task sets are frozen, and the projected cost of the run is published, but no model has been called. There is therefore no verdict, no effect, no interval and no cost per task on this page, and none is shown.
- S09-brand-voice: 10 task pairs per model. Paired blind comparison, win rate with ties counting half.
The committed instrument is at harness/claims/claims-skills.json, harness/claims/tasksets-skills.json and harness/claims/skill-cohort.json. The projection for the run that has not happened is at harness/results/dry-run-projection-skills.md. How a claim gets tested.