skills/accessibility-audit from rampstackco/claude-skills
Accessibility audit tasks, run with the skill loaded and without it, on the same task pairs.
Identity pin
- Repository
- rampstackco/claude-skills
- Path
- skills/accessibility-audit
- Commit
0479242522549dfdb389bb9b7807ad4d6016ffb7- Content hash
7b564cd3147768a1e9775a739e55fe56248e996c3fcdab86c264fe7289644921- 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/accessibility-audit, 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/accessibility-audit from rampstackco/claude-skills improves outputs on accessibility audit tasks.
Pass criterion: With-arm mean coverage exceeds the without-arm by at least 0.10 on the same 10 fixture pages at the same model and settings. Scale: unit. Defects found over defects seeded, so a [0,1] fraction, which is the unit scale.
48 defects seeded across ten pages, ledger at fixtures/accessibility/defect-ledger.json. False positives are counted on the record and never netted off coverage.
Injected context tokens
| Arm | Context characters | Injected context tokens |
|---|---|---|
| without | 0 | 0 |
| with | 43,620 | 10,239 |
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.
- S03-accessibility-audit: 10 task pairs per model. Deterministic, scored against a committed answer key.
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.