Claude skills for Accessibility, tested

Skills for accessibility work, measured on accessibility audit tasks. Each was run on the same task pairs with the skill loaded and without it, and what is below is what changed. Ranked by how many models the rule found a clear effect on, never by the size of one.

Measured on 3 models (Claude, GPT & Gemini): Claude Haiku 4.5, GPT-5 mini, Gemini 3.1 Flash Lite.

10 fixture web pages, each seeded with known WCAG defects, 48 in total. The model is asked to list the defects it finds; the score is the share of seeded defects it names. 23 defects are verified in the fixtures by mechanical check; 25 are judgement items the check cannot verify and are listed as such.

What helped, and on how many models

  • First

    skills/accessibility-audit rampstackco/claude-skills*

    Accessibility audit

    Helped on Claude Haiku 4.5; no reliable difference on GPT-5 mini and Gemini 3.1 Flash Lite. Measured against no skill loaded.

    Found 71% of the seeded accessibility defects, against 58% with no skill loaded. Instruction arm: not measured.

    Via API

    • Claude Haiku 4.5 · helped
    • GPT-5 mini · unclear
    • Gemini 3.1 Flash Lite · unclear

    In Claude Code

    • Claude Opus 5, Skill cohort (one pass) · unclear
    • Claude Fable 5, Panel v2 (repeat sampling) · unclear
    • Claude Haiku 4.5, Panel v2 (repeat sampling) · helped
    • Claude Opus 5, Panel v2 (repeat sampling) · unclear
    • Claude Sonnet 5, Panel v2 (repeat sampling) · unclear
    • Claude Fable 5.1, Fable 5.1, one pass · unclear

    Cost per task, with the skill loaded: about $0.0063.Adds about 11,700 tokens of context to every request.

  • Second

    skills/accessibility affaan-m/ECC

    Accessibility audit

    No reliable difference on any model tested. Measured against no skill loaded.

    Found 56% of the seeded accessibility defects, against 58% with no skill loaded. Instruction arm: not measured.

    Via API

    • Claude Haiku 4.5 · unclear
    • GPT-5 mini · unclear
    • Gemini 3.1 Flash Lite · unclear

    In Claude Code

    • Claude Opus 5, Skill cohort (one pass) · unclear
    • Claude Fable 5, Panel v2 (repeat sampling) · unclear
    • Claude Haiku 4.5, Panel v2 (repeat sampling) · unclear
    • Claude Opus 5, Panel v2 (repeat sampling) · unclear
    • Claude Sonnet 5, Panel v2 (repeat sampling) · unclear
    • Claude Fable 5.1, Fable 5.1, one pass · unclear

    Cost per task, with the skill loaded: about $0.00141.Adds about 2,200 tokens of context to every request.

The numbers

How to read these tables

How to read these tables

Without -> with
The score on the task set with no skill loaded, then with the skill loaded. For classes scored against an answer key, this is the share of seeded items found. For classes scored by blind comparison, it is how often a grader preferred the skill's output over the baseline's, with the baseline shown as the complement.
Effect (range)
With minus without, averaged over the models tested, with the lowest and highest per-model value in brackets. Per-model intervals are on each skill's page.
Orbit
  • Stable: delta at or above the pass threshold, and the interval excludes zero
  • Past the horizon: delta at or below the failure floor, and the interval excludes zero
  • In free drift: the interval spans zero, or the delta sits between the floor and the threshold
  • Unobservable: the cell cannot be classified: sub-case (a) an unbounded scale, or sub-case (b) both arms at the same bound

A fifth value, Decaying, is defined and appears once a skill has been re-tested: a cell previously Stable that has fallen below the pass threshold on a later run.

Cohort
The repository that publishes the skill. Rows marked with an asterisk come from the repository the operator of this site maintains, so those are the operator measuring its own work. The rest were chosen by a stated rule and not by preference.
Commit
The exact version tested. Later commits are not covered by this verdict.
Injected context tokens
How much text the skill adds to the model's context. This is cost, not quality; a bigger number is not a better one. Measured from the input tokens the API reported on the with arm, averaged over that skill's records.
Tested
The date. Verdicts age as models change.

Accessibility audit

SkillCohortWithout -> withEffect (range)OrbitInjected context tokensTested
No skill loadedbaseline58%0 by definition02026-08-30
One-line instruction insteadbaselineinstruction arm: not measured0 by definition02026-08-30
skills/accessibility-audit from rampstackco/claude-skills 047924252254 Best result in this testrampstackco/claude-skills*58% -> 71%+0.13 [-0.00, +0.29]In free drift on 2 of 311,7292026-08-30
skills/accessibility from affaan-m/ECC d8409a4b0813affaan-m/ECC58% -> 56%-0.02 [-0.10, +0.13]In free drift2,2062026-08-30
Averaged over three models; per-model results on each skill's page. Ranked within this class only.

Ranked within this topic by how many models the rule found a clear effect on, which is a count of verdicts and never the size of one. Two classes are two answer keys on two scales, so no effect here is compared with another. Every class, with its full table.

* rampstackco/claude-skills is maintained by the operator of OpenAddict.com.