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 skills/desquared/agents-rules-skills/flutter-accessibility-validatornpx skills add Desquared/agents-rules-skills --skill flutter-accessibility-validatorgit 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/skills/desquared/agents-rules-skills/flutter-accessibility-validator)<a href="https://agentmods.dev/skills/desquared/agents-rules-skills/flutter-accessibility-validator"><img src="https://agentmods.dev/badge/skills/desquared/agents-rules-skills/flutter-accessibility-validator.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 | $0.00052 | $0.00470 |
| Opus 5 | $0.00026 | $0.00235 |
| Sonnet 5 | $0.00010 | $0.00094 |
| Haiku 4.5 | $0.00005 | $0.00047 |
Grade A, and why
flutter-accessibility-validator 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 4d 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
Accessibility Skill
Semantic Labels
// Icons & buttons
Semantics(label: 'Settings', button: true, child: Icon(Icons.settings))
// Images (or ExcludeSemantics if decorative)
Semantics(label: 'Profile picture', image: true, child: Image.network(url))
// Interactive (prefer InkWell over GestureDetector)
Semantics(button: true, label: 'Open', child: InkWell(...))
Dynamic Announcements
import 'package:flutter/semantics.dart';
SemanticsService.announce('Button unlocked!', TextDirection.ltr);
Touch Targets & Forms
// Minimum 48x48 dp
IconButton(iconSize: 48, ...)
// Forms need labels
TextField(decoration: InputDecoration(
labelText: 'Email',
errorText: isValid ? null : 'Invalid',
))
Color Contrast
// Use ColorPalette (WCAG-compliant)
Text('Text', style: TextStyle(
color: ColorPalette.coloursBasicText.platformBrightnessColor(context),
))
Focus Management
FocusTraversalGroup(
policy: OrderedTraversalPolicy(),
child: Column(children: [
FocusTraversalOrder(order: NumericFocusOrder(1), child: TextField(...)),
FocusTraversalOrder(order: NumericFocusOrder(2), child: Button(...)),
]),
)
Testing
// Automated
await expectLater(tester, meetsGuideline(textContrastGuideline));
await expectLater(tester, meetsGuideline(androidTapTargetGuideline));
Checklist
- Semantic labels on interactive elements
- Touch targets ≥ 48x48 dp
- Contrast ≥ 4.5:1 (text), 3:1 (UI)
- Forms have labels + errors
- Dynamic changes announced
- Logical focus order
- Tested with VoiceOver + TalkBack
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.
- 4d ago First seen · 72 lines · 52 tokens per session scan A 537de85a0c3b
flutter-accessibility-validator is a skill published in the GitHub repository Desquared/agents-rules-skills (4 stars, last pushed 21d ago), licensed MIT. It adds 52 tokens to every session and 470 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.
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