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-feature-analysisnpx skills add Desquared/agents-rules-skills --skill flutter-feature-analysisgit 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-feature-analysis)<a href="https://agentmods.dev/skills/desquared/agents-rules-skills/flutter-feature-analysis"><img src="https://agentmods.dev/badge/skills/desquared/agents-rules-skills/flutter-feature-analysis.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 | $0.00039 | $0.00468 |
| Opus 5 | $0.00019 | $0.00234 |
| Sonnet 5 | $0.00008 | $0.00094 |
| Haiku 4.5 | $0.00004 | $0.00047 |
Grade A, and why
flutter-feature-analysis 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
Feature Analysis Skill
Analysis Framework
1. Discovery
grep -r "<similar_feature>" lib/features/ # Find patterns
grep "<package>" pubspec.yaml # Check dependencies
find lib -path "*/domain/models/*.dart" # Review models
2. Complexity Assessment
Simple:
- Single API call, straightforward UI, minimal state
- Example: Display static model details
- State Management: Simple solution (Cubit, ChangeNotifier, GetxController)
Complex:
- Multiple API calls, state orchestration, complex business rules
- Example: Multi-step flow
- State Management: Robust solution (Bloc with events, StateNotifier, complex GetX)
3. Technical Checklist
- API endpoint exists?
- DTO/Model mapping needed?
- Repository pattern required?
- State management approach? (Check existing patterns in project)
- UI components available in design system?
- Native platform features needed?
- Accessibility considerations?
- Performance implications?
4. Dependencies
- Check
pubspec.yamlfor existing vs new packages - Check native side:
plugin/ios/,plugin/android/
5. Output Format
# Feature Analysis: [Name]
## Feasibility: ✅ / ⚠️ / ❌
##State Management**: [Based on project patterns: Bloc/Provider/GetX/Riverpod]
**Rationale**: [Why this approach fits]
## Technical Requirements
- API: [endpoint]
- New Models: [list]
- UI Components: [available/needed]
- Native Features: [yes/no]
- State Management: [Match existing patternse/needed]
- Native Features: [yes/no]
## Dependencies
- Existing: [packages]
- New: [packages]
## Risks
1. [Risk]
2. [Risk]
## Estimated Effort
- Development: X hours
- Testing: Y hours
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 · 72 lines · 39 tokens per session scan A 2d982f59bf00
flutter-feature-analysis is a skill published in the GitHub repository Desquared/agents-rules-skills (4 stars, last pushed 22d ago), licensed MIT. It adds 39 tokens to every session and 468 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.
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