plan-task

A planning step that turns a clearly defined coding task into a detailed set of implementation instructions.

In plain words
What is it for?
It helps decide the files, design choices, and coding steps needed before implementation, as part of a workflow that includes task creation, clarification, implementation, review, and release.
Why use it?
It removes uncertainty about how to build the change, so another coding agent can implement it without needing the team's missing context.

Skill for Claude CodeCodex

Part of the at plugin — 13 skills shipped together

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 skills/patforna/auto-task/plan-task
Any agent
npx skills add patforna/auto-task --skill plan-task
Clone the repo
git clone --depth 1 https://github.com/patforna/auto-task

Made for: Claude Code, Codex.

Or install at, the plugin that ships this one along with the rest of its 13 skills.

Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,145 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 $0.00037 $0.01145
Opus 5 $0.00018 $0.00573
Sonnet 5 $0.00007 $0.00229
Haiku 4.5 $0.00004 $0.00114

Measured 3d ago against content hash a9f306e55198, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plan-task 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 3d 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.

skills/plan-task/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan Task

Usage

/at:plan-task <task-path> [further user instructions]

Goal

Given a well-defined task (the "why" and "what"), write an implementation plan (the "how") that closes the decision space for an implementing agent.

Context

This skill is typically run as part of a larger workflow:

create-task → clarify-task → plan-task → impl-task → review-code → review-task → ship-task

As steps (e.g. clarify, plan, impl, review) typically run in new sessions, it's imperative that the task file plus repo state carry everything the next agent needs.

Task files live in the project's task store — tasks/ in the repo by default. Project config can override this and other defaults: read .claude/auto-task.config.md (project, committed) and .claude/auto-task.config.local.md (personal overrides — win on conflict) if they exist. See /at:create-task § Task Store and Project Config.

Guidance (DO NOT IGNORE!)

These rules govern what belongs in the plan and how to write it. Internalise and follow them throughout.

  • Write for a competent outsider. They can write code, name things, follow patterns but they don't have in-team context beyond what's in the task and the repo.
  • Be maximally succinct. Capture the plan with the fewest words that remove ambiguity. Plan length obviously follows complexity but don't pad.
  • What would you be nervous about if you gave the agent only the task and codebase but no plan? Address those (and only those) things.
  • Treat the plan as a behaviour-verification list. Each step should name the observable behaviour, contract, or spec detail it advances and, when the task's ACs don't already make it obvious, the focused check that would prove it.
  • If (and only if) load-bearing, add pointers to existing code (modules, classes, functions, utilities, etc. to consider), sequencing when ordering matters for correctness, constraints on approach when more than one is plausible.
  • Lock down details of cross-boundary contracts in the plan (e.g. API shapes, DB/parquet schemas, symbols reachable across package boundaries, etc.).
  • Leave decision on internal details to the implementer - no pseudocode, no names for new files/classes/functions, no exact line numbers, no details that will go stale quickly.
  • Do not restate universal truths ("write tests", "handle errors", "follow patterns", "run the build").
  • Do not add generic verification steps. Add verification only when it is specific to the behaviour in that step (e.g. a fixture, grep, measurement, schema assertion, edge case, or UI state the implementer might otherwise miss).
  • Avoid placeholders, i.e. no "TBD"s, no "handle edge cases", no "similar to step 3". If it's worth writing down, be concrete.
  • Use plain English and write like a senior engineer briefing a teammate, not like an AI producing a spec. Avoid AI-slop language and padding.

Read the full file on GitHub · 99 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. 3d ago First seen · 99 lines · 37 tokens per session scan A a9f306e55198

Subscribe to this mod's changes

plan-task is a skill published in the GitHub repository patforna/auto-task (3 stars, last pushed 14d ago), licensed MIT. It adds 37 tokens to every session and 1,145 once invoked, about $0.0002 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.