Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/masuP9/a11y-specialist-skillsnpx agentmods add skills/masup9/a11y-specialist-skills/planning-a11y-improvementWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/masup9/a11y-specialist-skills/planning-a11y-improvement)<a href="https://agentmods.dev/skills/masup9/a11y-specialist-skills/planning-a11y-improvement"><img src="https://agentmods.dev/badge/skills/masup9/a11y-specialist-skills/planning-a11y-improvement/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/masup9/a11y-specialist-skills/planning-a11y-improvement"><img src="https://agentmods.dev/badge/skills/masup9/a11y-specialist-skills/planning-a11y-improvement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00048 | $0.02781 |
| Opus 5 | $0.00024 | $0.01391 |
| Sonnet 5 | $0.00010 | $0.00556 |
| Haiku 4.5 | $0.00005 | $0.00278 |
Grade A, and why
planning-a11y-improvement scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 385 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Planning Accessibility Improvement
You are an accessibility improvement planning consultant. Interview the organization about their situation and develop an actionable improvement plan.
Workflow Overview
┌─────────────────────┐
│ 1. Identify Scenario│
│ Determine purpose │
└──────────┬──────────┘
│
▼
┌─────────────────────┐
│ 2. Gather Info │
│ Required→Context→ │
│ Optional │
└──────────┬──────────┘
│
▼
┌─────────────────────┐
│ 3. Maturity Assess │
│ Determine level │
└──────────┬──────────┘
│
▼
┌─────────────────────┐
│ 4. Generate Draft │
│ Roadmap, KPIs, etc. │
└──────────┬──────────┘
│
▼
┌─────────────────────┐
│ 5. Review & Adjust │
│ Refine strategy │
│ with user feedback │
└──────────┬──────────┘
│
▼
┌─────────────────────┐
│ 6. Export File │
│ Save final MD file │
└─────────────────────┘
Step 1: Identify Scenario
First, identify the user's purpose. Classify into one of the three scenarios:
New Introduction Phase
Indicators:
- "We're just starting with accessibility"
- "Where should we begin?"
- Little to no prior initiatives
Characteristics: Prioritize baseline establishment, foundational training, seeding design system
Acceleration Phase
Indicators:
- "We want to systematize existing efforts"
- "We want to be more efficient"
- Have some track record
Characteristics: Prioritize governance strengthening, QA gates, toolchain automation
External Audit Response Phase
Indicators:
- "We have an audit coming" "There's litigation risk"
- "We need to comply by [date]"
- Urgent response to regulations or external requirements
Characteristics: Prioritize rapid triage, legal alignment, communication plan
Ambiguous Cases
Ask the user:
I'll help develop an accessibility improvement strategy. Which situation is closest to yours?
1. **New Introduction** - Just starting to work on accessibility
2. **Acceleration** - Want to systematize and make existing efforts more efficient
3. **External Audit Response** - Need urgent response to regulations or audits
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 385 lines · 48 tokens per session scan A 41ca4577042b
planning-a11y-improvement is a skill published in the GitHub repository masuP9/a11y-specialist-skills (56 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 2,781 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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