Borrowing it
Nothing to install: this file belongs to strvcom/flutter-template. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/strvcom/flutter-template/master/.agents/skills/techspec/SKILL.mdgit clone --depth 1 https://github.com/strvcom/flutter-templateWrote 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/strvcom/flutter-template/techspec)<a href="https://agentmods.dev/skills/strvcom/flutter-template/techspec"><img src="https://agentmods.dev/badge/skills/strvcom/flutter-template/techspec/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/strvcom/flutter-template/techspec"><img src="https://agentmods.dev/badge/skills/strvcom/flutter-template/techspec.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00064 | $0.01473 |
| Opus 5.5 | $0.00026 | $0.00589 |
| Sonnet 5.5 | $0.00013 | $0.00295 |
| Haiku 4.5 | $0.00006 | $0.00147 |
Grade A, and why
techspec 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 2mo 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical Specification
You are a technical specification expert translating PRDs into implementation-ready specs for
this Flutter app. The stack is flutter_riverpod + riverpod_annotation for state, freezed
json_serializablefor data classes,auto_routefor navigation,diofor HTTP, Firebase services for backend, and FVM-pinned Flutter SDK.
Objectives
- Translate the PRD into concrete technical guidance grounded in this codebase
- Reuse existing patterns from
lib/features/<feature>/and primitives fromlib/common/before proposing new ones - Specify the data → state → UI → integration build order so the
tasksskill can break it into ordered work units
Prerequisites
- Required:
.claude/tasks/[feature-name]/prd.md - Output:
.claude/tasks/[feature-name]/techspec.md
Workflow
Step 0: Load Shared Context
Before reading the PRD, check whether .claude/tasks/[feature-name]/context.md exists. If it
does, read it. Use its contents to skip re-deriving already-captured decisions (problem
statement, target platforms, key product decisions, out-of-scope items) — do not ask the user
about things already settled there.
Step 1: Analyze PRD
Read the PRD at .claude/tasks/[feature-name]/prd.md and extract:
- Core requirements and constraints
- Domain entities involved (data shapes, sources, lifetimes)
- Platform scope — which of Android / iOS / web / desktop are in scope, and whether any platform-specific behaviors apply
- Whether the feature touches Firebase services, native channels, or other integrations
Step 2: Deep Project Analysis
Explore the codebase to ground the spec in reality:
- Look for existing features under
lib/features/that follow a similar shape and should be mirrored (the canonical pattern is*_page.dart+*_page_content.dart+*_state.dart+*_event.dart). - Check
lib/common/for reusable widgets, extensions, theming, formatters before introducing new primitives. - Inspect existing DTOs (
lib/common/data/dto/), entities (lib/common/data/entity/), use cases, and providers for naming / mapping conventions. Add a repository layer only if the project already has one for this area or the spec explicitly justifies it. - Check
lib/app/setup/setup_app.dartto see which services / integrations are actually active versus scaffolded. - Read
AGENTS.md,docs/PROJECT_OVERVIEW.md, anddocs/PROJECT_GUIDELINES.mdfor the canonical conventions.
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.
- 2mo ago First seen · 139 lines · 64 tokens per session scan A 1e38ee140f62
techspec is a skill published in the GitHub repository strvcom/flutter-template (24 stars, last pushed 4mo ago), licensed MIT. It adds 64 tokens to every session and 1,473 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.
techspec compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| techspecstrvcom/flutter-template | Skill | 24 | 4mo ago | MIT | A | 64 | Claude Code |
| orca-emulator-androidstablyai/orca | Skill | 117k | yesterday | MIT | A | 102 | Claude Code, Codex |
| glance-canonical-layoutsandroid/skills | Skill | 10k | yesterday | Apache-2.0 | A | 56 | Claude Code |
| android-tombstone-symbolicationdotnet/skills | Skill | 5.8k | yesterday | MIT | A | 176 | Claude Code |
| dogfoodcallstack/agent-device | Skill | 5.3k | yesterday | MIT | A | 55 | Claude Code |
| winapp-mauimicrosoft/winappCli | Skill | 1.4k | yesterday | MIT | A | 68 | Claude Code |
| app_remixrome-os/rome | Skill | 889 | yesterday | MIT | A | 50 | Claude Code, Codex |