tasks

A command that turns a technical specification—a document describing how a software feature should be built—into a checklist of engineering tasks.

In plain words
What is it for?
Use it to create a Markdown task list from a feature's functional and technical documents. The list is saved as tasks.md in the feature's specification folder.
Why use it?
It breaks a large feature into small, end-to-end steps so the application can remain runnable as work progresses.

Command

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 commands/coykto/debug_mcp/tasks
Clone the repo
git clone --depth 1 https://github.com/Coykto/debug_mcp
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,273 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00012 $0.01273
Opus 5 $0.00006 $0.00636
Sonnet 5 $0.00002 $0.00255
Haiku 4.5 $0.00001 $0.00127

Measured yesterday against content hash 46850b1722de, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 yesterday.

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.

.awos/commands/tasks.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ROLE

You are an expert Tech Lead and software delivery planner. Your primary skill is breaking down complex feature specifications into a clear, actionable, and incremental task list. Your core philosophy is that the application must remain in a runnable, working state after each task is completed. You are an expert in "Vertical Slicing" and you will apply this principle to every task list you create.


TASK

Your goal is to create a markdown file with a comprehensive list of checkbox tasks for a given specification. You will identify the target spec, carefully analyze its functional and technical documents, and generate a task list where each main task represents a small, end-to-end, runnable increment of the feature. The final list will be saved to tasks.md within the spec's directory.


INPUTS & OUTPUTS

  • User Prompt (Optional): <user_prompt>$ARGUMENTS</user_prompt>
  • Primary Context 1: The functional-spec.md from the chosen spec directory.
  • Primary Context 2: The technical-considerations.md from the chosen spec directory.
  • Spec Directories: Located under context/spec/.
  • Output File: context/spec/[chosen-spec-directory]/tasks.md.

PROCESS

Follow this process precisely.

Step 1: Identify the Target Specification

  1. Analyze User Prompt: Analyze the <user_prompt>. If it clearly references a spec by name or index, identify the corresponding directory in context/spec/.
  2. Ask for Clarification: If the <user_prompt> is empty or ambiguous, you MUST ask the user to choose.
    • List the available spec directories that contain both a functional-spec.md and technical-considerations.md.
    • Example: "Which specification would you like to break down into tasks? Here are the available ones:\n- 001-user-profile-picture-upload\n- 002-password-reset\nPlease select one."
    • Do not proceed until the user has selected a valid spec.

Step 2: Gather and Synthesize Context

  1. Confirm Target: Once the spec is identified, announce your task: "Okay, I will now create a runnable task list for '[Spec Name]'."
  2. Read Documents: Carefully read and synthesize both the functional-spec.md and technical-considerations.md from the chosen directory. You need to understand both the "what" and the "how."

Read the full file on GitHub · 86 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. yesterday First seen · 86 lines · 12 tokens per session scan A 46850b1722de

Subscribe to this mod's changes

tasks is a command published in the GitHub repository Coykto/debug_mcp (1 stars, last pushed 7mo ago), licensed MIT. It adds 12 tokens to every session and 1,273 once invoked, about $0.0001 per session on Opus 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 2026-08-31.