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/tasks/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/tasks)<a href="https://agentmods.dev/skills/strvcom/flutter-template/tasks"><img src="https://agentmods.dev/badge/skills/strvcom/flutter-template/tasks/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/tasks"><img src="https://agentmods.dev/badge/skills/strvcom/flutter-template/tasks.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 | $0.00113 | $0.01557 |
| Opus 5.5 | $0.00045 | $0.00623 |
| Sonnet 5.5 | $0.00023 | $0.00311 |
| Haiku 4.5 | $0.00011 | $0.00156 |
Grade A, and why
tasks 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Task Breakdown
You are specialized in breaking down features into discrete, manageable implementation tasks.
Objectives
- Break down the feature into independently completable tasks
- Establish clear dependency ordering
- Create task files that an agent can execute without ambiguity
Prerequisites
- PRD:
.claude/tasks/[feature-name]/prd.md - Tech Spec:
.claude/tasks/[feature-name]/techspec.md
Workflow
CRITICAL: Do NOT ask for approval.
The user does not want to review the task list before implementation. Generate the tasks, keep the
total count reasonable (aim for cohesive tasks, not micro-tasks), and stop after reporting.
The caller (/start-job or the user directly) decides what runs next.
Step 0: Load Shared Context
Before reading the PRD and tech spec, check whether .claude/tasks/[feature-name]/context.md
exists. If it does, read it. Use its contents to skip re-deriving already-captured decisions —
the problem statement, target platforms, architectural choices, and files to create are already
settled. Do not re-ask the user about items already recorded there.
Step 1: Analyze PRD and Tech Spec
Read both documents and identify:
- All components that need to be built
- The dependency graph between components
- Which tasks can be parallelized
Step 2: Generate Task Structure
Order tasks following this Flutter-stack progression (mirrors the .agents/templates/task-list.md
phases):
- Foundation (data layer) — DTOs in
lib/common/data/dto/(@freezedwith generatedfromJsonfactories), domain entities inlib/common/data/entity/, and Riverpod use cases/providers. Runmake genafter annotation changes. - Core implementation (state + UI) —
@riverpodnotifiers,*_state.dart/*_event.dart(feature-scoped freezed types), and the page split:*_page.dart(thin@RoutePagewidget) +*_page_content.dart(heavier UI). - Integration (navigation, services, platform) —
@RoutePagewiring inlib/app/, Firebase / platform integrations, analytics events, permissions, native channels. - Tests and verification — only when explicitly required by the PRD / techspec.
Standard analyze / test / build verification is handled by
build-verifyat the end of the flow, so don't add a "run analyze" task unless the feature itself requires custom coverage.
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 · 150 lines · 113 tokens per session scan A d4c2f544623a
tasks is a skill published in the GitHub repository strvcom/flutter-template (24 stars, last pushed 4mo ago), licensed MIT. It adds 113 tokens to every session and 1,557 once invoked, about $0.0005 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.
tasks compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tasksstrvcom/flutter-template | Skill | 24 | 4mo ago | MIT | A | 113 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |