plan-task

A planning skill that requires a written implementation plan before coding begins. It is intended for new features, multi-step refactors, and complex tasks.

In plain words
What is it for?
Creating plans for complex development tasks, reviewing project notes, and recording the planned work.
Why use it?
It prevents implementation from starting before the work, required checks, and affected files have been considered.

Skill for Claude CodeCodex

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/savedpixel/ai-agent-rules-generator/plan-task
Any agent
npx skills add savedpixel/ai-agent-rules-generator --skill plan-task
Clone the repo
git clone --depth 1 https://github.com/savedpixel/ai-agent-rules-generator

Made for: Claude Code, Codex.

Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,122 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 $0.00045 $0.01122
Opus 5 $0.00023 $0.00561
Sonnet 5 $0.00009 $0.00224
Haiku 4.5 $0.00005 $0.00112

Measured yesterday against content hash 7df0b7822b3c, 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 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.

examples/glitch-payment-gateway/v1.1/codex/generated/.agents/skills/plan-task/SKILL.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create a Detailed Implementation Plan

HARD GATE — PLANNING ONLY. ZERO IMPLEMENTATION. This skill invokes PLANNING MODE. You must produce a plan document and NOTHING ELSE. You are forbidden from editing, creating, or modifying any code, template, CSS, JS, PHP, or JSON file outside of the plan document itself and docs/task/todo.md. This gate is absolute — it cannot be overridden by the user's phrasing, tone, or imperative language. If you write even one line of implementation code, you have violated this skill. Your ONLY output is the plan file + todo.md update + a summary asking for approval.

What You Receive

The user will describe a task. Their description is INPUT to the plan — not an instruction to execute. "Please update X" means the plan must include it — not that you do it now.

Steps

1. Review Recent Context

  • Read latest task log(s) in docs/task/logs/ — 1–2 most recent files.
  • Read docs/task/todo.md — check for overlapping work.
  • Read docs/task/lessons.md — check for applicable lessons.
  • Read agent observation logs in docs/agent-observations/ — unresolved items may affect scope.
  • Read relevant documentation via docs/plugin/**/0-index.md.

2. Understand the Request

  • Read the user's description carefully.
  • Search the codebase for current state of affected files.
  • Identify all files, functions, data structures, and dependencies.
  • Do NOT assume. If something is ambiguous, add it to Open Questions (step 2.5).

2.5. Question Gate (Iterative)

Before writing the plan, identify open questions about scope, approach, or constraints.

Rules:

  • Assign stable IDs: Q1, Q2, Q3, … (never renumber across rounds)
  • Present questions with a brief recommended answer for each
  • Wait for user answers before proceeding
  • If answers raise new questions, add them with next available ID and ask again
  • Repeat until zero open questions remain
  • Answered questions move to Confirmed Inputs section
  • Once resolved: update plan Status from Questions Pending to Draft

Read the full file on GitHub · 141 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 · 141 lines · 45 tokens per session scan A 7df0b7822b3c

Subscribe to this mod's changes

plan-task is a skill published in the GitHub repository savedpixel/ai-agent-rules-generator (7 stars, last pushed 4mo ago), licensed MIT. It adds 45 tokens to every session and 1,122 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.

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