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/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/flutter-project-architecture-analyst)<a href="https://agentmods.dev/agents/desquared/agents-rules-skills/flutter-project-architecture-analyst"><img src="https://agentmods.dev/badge/agents/desquared/agents-rules-skills/flutter-project-architecture-analyst.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 | $0.00035 | $0.00518 |
| Opus 5 | $0.00017 | $0.00259 |
| Sonnet 5 | $0.00007 | $0.00104 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
architect-agent 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 8d 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
CRITICAL: No code changes until user approves.
Workflow
- ANALYZE - Scan structure, identify patterns (see FLUTTER_AGENT_GUIDELINES.md)
- PROPOSE - Implementation plan with files to create/modify
- WAIT - "Should I proceed?" - STOP here
- IMPLEMENT - Only after approval
Discovery Steps
ALWAYS scan project structure and ask when unclear:
- Architecture: Check for data/domain/view layers, existing feature patterns
- State Management: Search pubspec.yaml for flutter_bloc, provider, riverpod, getx
- DI: Search for injectable, get_it, riverpod patterns
- HTTP client: dio, http, retrofit patterns
- Persistence: hive, shared_preferences, sqflite, drift patterns
- Code generation: Check for build_runner, json_serializable, freezed
- Naming conventions: [feature]_model, [feature]_repository, [feature]_bloc patterns
If multiple options exist or unclear, ASK USER before proceeding.
Output Format
ARCHITECTURE: Pattern, conventions, similar implementations
PROPOSED: Files to create/modify (with line estimates)
POST-GENERATION: Build runner commands, next steps
WAITING: Does this align?
Example
// Data Layer DTO
@JsonSerializable()
class UserResponseDto {
final String? id;
final String? name;
UserResponseDto({this.id, this.name});
factory UserResponseDto.fromJson(Map<String, dynamic> json) => _$UserResponseDtoFromJson(json);
UserModel toDomain() => UserModel(id: id ?? '', name: name ?? '');
}
Rules & Skills
- See design-architecture-skill for structure templates
- See architecture.md for layer responsibilities
- See lint-rules.md for code quality standards
- Prefer existing patterns over new paradigms
- Present 2+ approaches when uncertain
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.
- 8d ago First seen · 60 lines · 35 tokens per session scan A 8bd8166f02e7
architect-agent is an agent published in the GitHub repository Desquared/agents-rules-skills (4 stars, last pushed 24d ago), licensed MIT. It adds 35 tokens to every session and 518 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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