speckit.tasks

A workflow that turns feature design documents into an actionable, dependency-ordered tasks.md file. The documents can describe requirements, technical choices, data, interfaces, research, and test scenarios.

In plain words
What is it for?
Use it to create tasks grouped by user story from the available plan, specification, and supporting design files.
Why use it?
It gives developers an ordered work list based on the existing feature plan instead of leaving implementation steps vague.

Agent

Install

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.

agentmods
npx agentmods add agents/cherchyk/mcpbrowser/speckit.tasks
Clone the repo
git clone --depth 1 https://github.com/cherchyk/MCPBrowser
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,503 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 94% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00018 $0.01503
Opus 5 $0.00009 $0.00751
Sonnet 5 $0.00004 $0.00301
Haiku 4.5 $0.00002 $0.00150

Measured 2d ago against content hash 656e3b10a596, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

speckit.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 2d 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.

Origin

This is a copy

94% identical to speckit.tasks — 12 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.github/agents/speckit.tasks.agent.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

User Input

$ARGUMENTS

You MUST consider the user input before proceeding (if not empty).

Outline

  1. Setup: Run .specify/scripts/powershell/check-prerequisites.ps1 -Json from repo root and parse FEATURE_DIR and AVAILABLE_DOCS list. All paths must be absolute. For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'''m Groot' (or double-quote if possible: "I'm Groot").

  2. Load design documents: Read from FEATURE_DIR:

    • Required: plan.md (tech stack, libraries, structure), spec.md (user stories with priorities)
    • Optional: data-model.md (entities), contracts/ (interface contracts), research.md (decisions), quickstart.md (test scenarios)
    • Note: Not all projects have all documents. Generate tasks based on what's available.
  3. Execute task generation workflow:

    • Load plan.md and extract tech stack, libraries, project structure
    • Load spec.md and extract user stories with their priorities (P1, P2, P3, etc.)
    • If data-model.md exists: Extract entities and map to user stories
    • If contracts/ exists: Map interface contracts to user stories
    • If research.md exists: Extract decisions for setup tasks
    • Generate tasks organized by user story (see Task Generation Rules below)
    • Generate dependency graph showing user story completion order
    • Create parallel execution examples per user story
    • Validate task completeness (each user story has all needed tasks, independently testable)
  4. Generate tasks.md: Use .specify/templates/tasks-template.md as structure, fill with:

    • Correct feature name from plan.md
    • Phase 1: Setup tasks (project initialization)
    • Phase 2: Foundational tasks (blocking prerequisites for all user stories)
    • Phase 3+: One phase per user story (in priority order from spec.md)
    • Each phase includes: story goal, independent test criteria, tests (if requested), implementation tasks
    • Final Phase: Polish & cross-cutting concerns
    • All tasks must follow the strict checklist format (see Task Generation Rules below)
    • Clear file paths for each task
    • Dependencies section showing story completion order
    • Parallel execution examples per story
    • Implementation strategy section (MVP first, incremental delivery)

Read the full file on GitHub · 138 lines

Changes

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.

  1. 2d ago First seen · 138 lines · 18 tokens per session scan A 656e3b10a596

Subscribe to this mod's changes

speckit.tasks is an agent published in the GitHub repository cherchyk/MCPBrowser (8 stars, last pushed 21d ago), licensed MIT. It adds 18 tokens to every session and 1,503 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to speckit.tasks, differing in 12 lines, and is treated as a copy.