rainbow.taskify

rainbow.taskify is an agent for coding agents from DauQuangThanh/sso-mcp-server. It costs 18 tokens per session (1,704 once invoked), scanned A, a copy of speckit.tasks, MIT.

A workflow that generates an ordered tasks.md file from feature requirements and available design documents.

In plain words
What is it for?
Use it to turn specifications, designs, data models, API contracts, and test scenarios into an actionable development task list.
Why use it?
It removes the need to break a feature into implementation tasks manually and makes dependencies visible before coding.

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/dauquangthanh/sso-mcp-server/rainbow.taskify
Clone the repo
git clone --depth 1 https://github.com/DauQuangThanh/sso-mcp-server

Wrote 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.

agentmods badge for rainbow.taskify

README.md
[![agentmods](https://agentmods.dev/badge/agents/dauquangthanh/sso-mcp-server/rainbow.taskify.svg)](https://agentmods.dev/agents/dauquangthanh/sso-mcp-server/rainbow.taskify)
Your own site
<a href="https://agentmods.dev/agents/dauquangthanh/sso-mcp-server/rainbow.taskify"><img src="https://agentmods.dev/badge/agents/dauquangthanh/sso-mcp-server/rainbow.taskify.svg" alt="Measured on agentmods" height="20"></a>
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 1,704 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 75% 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 5.1 $0.00018 $0.01704
Opus 5 $0.00009 $0.00852
Sonnet 5 $0.00004 $0.00341
Haiku 4.5 $0.00002 $0.00170

Measured 5d ago against content hash 52cadcffc988, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

rainbow.taskify 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 5d 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

75% identical to speckit.tasks — 106 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/rainbow.taskify.agent.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 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

IMPORTANT: Automatically generate a 'docs:' prefixed git commit message (e.g., 'docs: add implementation tasks for feature-name') and commit tasks.md upon completion.

  1. Setup: Run .rainbow/scripts/bash/check-prerequisites.sh --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: design.md (tech stack, libraries, structure), spec.md (user stories with priorities)
    • Optional: data-model.md (entities), contracts/ (API endpoints), research.md (decisions), quickstart.md (test scenarios)
    • Product-level: docs/architecture.md (if exists - architectural patterns, ADRs, deployment architecture)
    • Note: Not all projects have all documents. Generate tasks based on what's available.
  3. Execute task generation workflow:

    • Load design.md and extract tech stack, libraries, project structure
    • Load spec.md and extract user stories with their priorities (P1, P2, P3, etc.)
    • If docs/architecture.md exists: Extract architectural patterns, deployment requirements, and ADRs relevant to implementation
    • If data-model.md exists: Extract entities and map to user stories
    • If contracts/ exists: Map endpoints 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)
    • Ensure tasks align with architectural decisions and patterns from architecture.md (if available)
  4. Generate tasks.md: Use .rainbow.rainbow/templates/tasks-template.md as structure, fill with:

    • Correct feature name from design.md
    • Phase 1: Setup tasks (project initialization, aligned with deployment architecture if defined)
    • Phase 2: Foundational tasks (blocking prerequisites for all user stories, following architectural patterns)
    • 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 (following code organization from architecture.md if available)
    • Dependencies section showing story completion order
    • Parallel execution examples per story
    • Implementation strategy section (MVP first, incremental delivery)
    • Architecture alignment notes (if architecture.md exists)

Read the full file on GitHub · 151 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. 5d ago First seen · 151 lines · 18 tokens per session scan A 52cadcffc988

Subscribe to this mod's changes

rainbow.taskify is an agent published in the GitHub repository DauQuangThanh/sso-mcp-server (0 stars, last pushed 8mo ago), licensed MIT. It adds 18 tokens to every session and 1,704 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 75% identical to speckit.tasks, differing in 106 lines, and is treated as a copy.