Borrowing it
Nothing to install: this file belongs to swingerman/ha-dual-smart-thermostat. 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/swingerman/ha-dual-smart-thermostat/master/.github/prompts/tasks.prompt.mdgit clone --depth 1 https://github.com/swingerman/ha-dual-smart-thermostatWrote 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/commands/swingerman/ha-dual-smart-thermostat/tasks)<a href="https://agentmods.dev/commands/swingerman/ha-dual-smart-thermostat/tasks"><img src="https://agentmods.dev/badge/commands/swingerman/ha-dual-smart-thermostat/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/commands/swingerman/ha-dual-smart-thermostat/tasks"><img src="https://agentmods.dev/badge/commands/swingerman/ha-dual-smart-thermostat/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 | $0.00018 | $0.00541 |
| Opus 5.5 | $0.00007 | $0.00216 |
| Sonnet 5.5 | $0.00004 | $0.00108 |
| Haiku 4.5 | $0.00002 | $0.00054 |
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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- tasks — 100% identical, 0 lines differ
What it actually says
Given the context provided as an argument, do this:
-
Run
.specify/scripts/bash/check-task-prerequisites.sh --jsonfrom repo root and parse FEATURE_DIR and AVAILABLE_DOCS list. All paths must be absolute. -
Load and analyze available design documents:
- Always read plan.md for tech stack and libraries
- IF EXISTS: Read data-model.md for entities
- IF EXISTS: Read contracts/ for API endpoints
- IF EXISTS: Read research.md for technical decisions
- IF EXISTS: Read quickstart.md for test scenarios
Note: Not all projects have all documents. For example:
- CLI tools might not have contracts/
- Simple libraries might not need data-model.md
- Generate tasks based on what's available
-
Generate tasks following the template:
- Use
.specify/templates/tasks-template.mdas the base - Replace example tasks with actual tasks based on:
- Setup tasks: Project init, dependencies, linting
- Test tasks [P]: One per contract, one per integration scenario
- Core tasks: One per entity, service, CLI command, endpoint
- Integration tasks: DB connections, middleware, logging
- Polish tasks [P]: Unit tests, performance, docs
- Use
-
Task generation rules:
- Each contract file → contract test task marked [P]
- Each entity in data-model → model creation task marked [P]
- Each endpoint → implementation task (not parallel if shared files)
- Each user story → integration test marked [P]
- Different files = can be parallel [P]
- Same file = sequential (no [P])
-
Order tasks by dependencies:
- Setup before everything
- Tests before implementation (TDD)
- Models before services
- Services before endpoints
- Core before integration
- Everything before polish
-
Include parallel execution examples:
- Group [P] tasks that can run together
- Show actual Task agent commands
-
Create FEATURE_DIR/tasks.md with:
- Correct feature name from implementation plan
- Numbered tasks (T001, T002, etc.)
- Clear file paths for each task
- Dependency notes
- Parallel execution guidance
Context for task generation: $ARGUMENTS
The tasks.md should be immediately executable - each task must be specific enough that an LLM can complete it without additional context.
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.
- 1mo ago First seen · 59 lines · 18 tokens per session scan A 6a5c88daa5a8
tasks is a command published in the GitHub repository swingerman/ha-dual-smart-thermostat (239 stars, last pushed 6d ago), licensed Apache-2.0. It adds 18 tokens to every session and 541 once invoked, about $0.0001 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 2026-09-26.
Other commands, from other repositories
aurora
Aurora - independent community smart home orchestrator. Routes any smart home request to the right specialist skill and recommends the correct Claude model. Use this as your starting point for Home Assistant, ESPHome, Node-RED, or any IoT automation task.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.