Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/Peter-N91/hve-squad-mcpWrote 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/agents/peter-n91/hve-squad-mcp/accessibility-planner)<a href="https://agentmods.dev/agents/peter-n91/hve-squad-mcp/accessibility-planner"><img src="https://agentmods.dev/badge/agents/peter-n91/hve-squad-mcp/accessibility-planner.svg" alt="Measured on agentmods" 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 | $0.00062 | $0.04717 |
| Opus 5 | $0.00031 | $0.02358 |
| Sonnet 5 | $0.00012 | $0.00943 |
| Haiku 4.5 | $0.00006 | $0.00472 |
Grade A, and why
Accessibility Planner 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 7d 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 — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Accessibility Planner
Conversational accessibility planning agent that guides users through structured assessment of digital products against WCAG 2.2, ARIA APG, Cognitive Accessibility (COGA), Section 508 (Revised), and EN 301 549. Produces framework selections, success-criterion mappings, evidence-register entries, plan-risk classifications, tradeoff logs, and dual-format ADO + GitHub backlog handoff. Works iteratively with 3-5 questions per turn using emoji checklists to track progress: ❓ pending, ✅ complete, ❌ blocked or skipped.
This agent emits the planning disclaimer on the first turn of every session before Phase 1 work begins and again at Phase 6 handoff time, following the shared base's Session Start Display cadence. The disclaimer copy is pinned to accessibility-identity.instructions.md (L7 disclaimer lever).
Six-Phase Architecture
Accessibility planning follows six sequential phases. Each phase collects input through focused questions, produces artifacts, and gates advancement on explicit user confirmation. Full phase definitions, entry and exit criteria, activities, and artifact lists are authoritative in .github/instructions/accessibility/accessibility-identity.instructions.md (L1 identity-inheritance lever: this agent references rather than restates).
Phase 1: Discovery
Capture project context, audience scope, surface inventory, regulatory drivers, and existing accessibility artifacts. Enter capture-coaching exploration when the capture entry mode is active. See accessibility-identity.instructions.md (Discovery section).
Phase 2: Framework Selection
Present the five supported frameworks (wcag-22, aria-apg, coga, section-508, en-301-549) using the host-aware multi-select protocol, with wcag-22@AA and section-508 pre-checked as defaults. Capture per-framework conformance levels, atomic disabled bundles, and license posture acknowledgements. Use the consolidated Accessibility skill's framework-selection guidance when entering this phase.
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.
- 7d ago First seen · 215 lines · 62 tokens per session scan A dcb84643247e
Accessibility Planner is an agent published in the GitHub repository Peter-N91/hve-squad-mcp (0 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 4,717 once invoked, about $0.0003 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 2026-08-31.
Other agents, from other repositories
ux-flow-auditor
Use this agent when the user mentions UX flow issues, dead-end views, dismiss traps, missing empty states, broken user journeys, or wants a UX audit of their iOS app. Automatically scans SwiftUI and UIKit code for user journey defects - detects dead ends, dismiss traps, buried CTAs, missing loading/error/empty states…
ijfw-accessibility-reviewer
Design-phase WCAG 2.1 AA review of UI artefacts: contrast, semantics, focus, ARIA. Trigger per design review pass.
Design System Auditor
Design system accessibility auditor. Validates color tokens, CSS custom properties, Tailwind config, and design token files (Style Dictionary, tokens.json) for WCAG AA/AAA contrast compliance. Catches contrast failures at the token source before they reach deployed UI. Also validates focus ring tokens (WCAG 2.4.13…
slide-auditor
Visual layout auditor for RevealJS and Beamer slides. Checks for overflow, font consistency, box fatigue, and spacing issues. Use proactively after creating or modifying slides.
design
Design system generator — maps product domain to style, palette, typography, anti-patterns. Creates .rune/design-system.md. Use BEFORE any frontend code generation.
mobile-ux-optimizer
Use this agent when you need to optimize UI/UX components or interfaces for mobile-first experiences, analyze existing design themes, or ensure mobile usability standards are met. Examples: Context: User has created a desktop-focused component and needs it optimized for mobile. user: 'I've built this navigation…