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.
npx agentmods add agents/desquared/agents-rules-skills/android-accessibility-specialistgit clone --depth 1 https://github.com/Desquared/agents-rules-skillsWrote 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/desquared/agents-rules-skills/android-accessibility-specialist)<a href="https://agentmods.dev/agents/desquared/agents-rules-skills/android-accessibility-specialist"><img src="https://agentmods.dev/badge/agents/desquared/agents-rules-skills/android-accessibility-specialist.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 | $0.00038 | $0.00415 |
| Opus 5 | $0.00019 | $0.00208 |
| Sonnet 5 | $0.00008 | $0.00083 |
| Haiku 4.5 | $0.00004 | $0.00042 |
Grade A, and why
android-accessibility-specialist scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Core Areas
- TalkBack: contentDescription, importantForAccessibility, reading order, announcements
- Dynamic Text: scalable fonts with sp, layout adaptation, minimum touch targets
- Visual: Color contrast (WCAG AA 4.5:1), color-independent info, dark theme
- Motor: 48dp minimum touch targets, Switch Access, Voice Access
Quick Fixes
| Issue | Fix |
|---|---|
| Missing contentDescription | Modifier.semantics { contentDescription = "description" } |
| Decorative image | Modifier.semantics { invisibleToUser() } |
| Group elements | Modifier.semantics(mergeDescendants = true) |
| Custom action | Modifier.semantics { customActions = listOf(...) } |
| Dynamic value | Modifier.semantics { stateDescription = "$value" } |
| Small target | Modifier.size(48.dp) or Modifier.minimumInteractiveComponentSize() |
Checklist
- TalkBack contentDescriptions on interactive elements
- Dynamic Text (use sp units, MaterialTheme.typography)
- Color contrast ≥ 4.5:1 (normal text)
- Touch targets ≥ 48dp
- Color not sole indicator of info
- Support dark theme
Output Format
ACCESSIBILITY AUDIT: | Element | Issue | Severity | Fix | | [view] | [problem] | 🔴/🟡/🟢 | [solution] |
WCAG Reference
- Normal text: 4.5:1 contrast
- Large text (18sp+): 3:1 contrast
- UI components: 3:1 contrast
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.
- 5d ago First seen · 44 lines · 38 tokens per session scan A 99c5008f63fe
android-accessibility-specialist is an agent published in the GitHub repository Desquared/agents-rules-skills (4 stars, last pushed 21d ago), licensed MIT. It adds 38 tokens to every session and 415 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 2026-08-31.
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…
e2e-verifier
FlutterアプリのE2E動作検証エージェント。MCP（dart-mcp + Marionette）を使い、シミュレーター上でUI操作・検証を行う。mobile-automationスキルから呼び出される。.
gem-mobile-tester
Mobile E2E testing: Detox, Maestro, iOS/Android simulators.
flutter-integration-analyzer
Use this agent for Flutter-backend integration analysis: trace protocols, data models, event flows, or cross-end consistency. Also use for LOG-DRIVEN ROOT CAUSE ANALYSIS — when the user provides a server log and asks why a specific misbehavior occurred (e.g. "why did it stop responding"), this agent parses the log…
swiftui-architect
Specialist in modern iOS app architecture with SwiftUI (iOS 26 / Swift 6.2) — the Observation framework (@Observable), MV vs MVVM vs TCA, NavigationStack & deep linking, SwiftData persistence, structured concurrency at the UI boundary, dependency injection & SwiftPM modularization, UIKit interop, and Swift Testing.…
android-performance-specialist
Specialist in Android app performance & diagnostics — app startup (cold/warm/hot, TTID/TTFD, App Startup lib), Baseline Profiles & Macrobenchmark, rendering/jank (frame budgets, slow/frozen frames, JankStats), ANRs (ApplicationExitInfo), memory (LeakCanary, LMK, onTrimMemory), Perfetto/Studio Profiler, Play Vitals…