writing-plans

writing-plans is a skill for Claude Code, Codex from HumanBean17/jrag. It costs 21 tokens per session (2,275 once invoked), scanned A, original, MIT.

A written implementation plan for a software task with multiple steps, including files, interfaces, data shapes, tests, and documentation checks.

In plain words
What is it for?
Use it to turn a specification into small, actionable tasks and describe what each test should verify.
Why use it?
It gives an engineer who lacks project context a shared map of the work before code is changed, reducing missed requirements and poorly designed tests.

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/humanbean17/jrag/writing-plans
Any agent
npx skills add HumanBean17/jrag --skill writing-plans
Clone the repo
git clone --depth 1 https://github.com/HumanBean17/jrag

Made for: Claude Code, Codex.

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 writing-plans

README.md
[![agentmods](https://agentmods.dev/badge/skills/humanbean17/jrag/writing-plans.svg)](https://agentmods.dev/skills/humanbean17/jrag/writing-plans)
Your own site
<a href="https://agentmods.dev/skills/humanbean17/jrag/writing-plans"><img src="https://agentmods.dev/badge/skills/humanbean17/jrag/writing-plans.svg" alt="Measured on agentmods" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,275 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 5.1 $0.00021 $0.02275
Opus 5 $0.00010 $0.01137
Sonnet 5 $0.00004 $0.00455
Haiku 4.5 $0.00002 $0.00228

Measured 5d ago against content hash 166815b79662, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

writing-plans 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.

.claude/skills/writing-plans/SKILL.md · 194 lines

How it starts

The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Writing Plans

Overview

Write comprehensive implementation plans assuming the engineer has zero context for our codebase and questionable taste. Document everything they need to know: which files to touch for each task, the exact interfaces and data shapes, the test design (what each test verifies and the expected result), and docs they might need to check. Give them the whole plan as bite-sized tasks. DRY. YAGNI. TDD. Frequent commits.

Assume they are a skilled developer, but know almost nothing about our toolset or problem domain. Assume they don't know good test design very well.

Core Principles

These principles override the rest of this skill when in conflict.

  1. Plans carry design, not code. The plan describes WHAT to build for each task — files, exact interfaces, data shapes, validation rules, and test design (what each test verifies and the expected result). It MUST NOT contain implementation logic: no method bodies, algorithms, or actual code — neither test code nor implementation code. Writing code is the job of the implementor (superpowers:executing-plans / superpowers:subagent-driven-development). Your job here is to plan. This mirrors the brainstorming skill's rule that specs carry design, not code.
  2. Plans are self-contained. Every task carries the full design and contracts a zero-context implementer needs to write the code — exact signatures, types, data models, validation, and error cases. Do not push the reader to the spec for these. The implementer should never have to leave the task to understand what to build. (This accepts some duplication with the spec; keep the two consistent via the Self-Review.)

Announce at start: "I'm using the writing-plans skill to create the implementation plan."

Context: If working in an isolated worktree, it should have been created via the superpowers:using-git-worktrees skill at execution time.

Save plans to: docs/superpowers/plans/active/YYYY-MM-DD-<feature-name>.md

  • active/ holds plans for changes currently being implemented — current source of truth. On release (merge into the base branch), the plan moves to plans/archive/ alongside its spec and becomes an ADR (past decision, not current domain state). The move is handled by superpowers:finishing-a-development-branch.
  • (User preferences for plan location override this default)

Read the full file on GitHub · 194 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 194 lines · 21 tokens per session scan A 166815b79662

Subscribe to this mod's changes

writing-plans is a skill published in the GitHub repository HumanBean17/jrag (9 stars, last pushed 3d ago), licensed MIT. It adds 21 tokens to every session and 2,275 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.

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