superplan-shape

A planning workflow that prepares the documents, tasks, and checks needed before a larger piece of work begins.

In plain words
What is it for?
Use it to shape plans, specifications, task structures, and verification steps before implementation.
Why use it?
It prevents complex work from starting without a clear scope, visible progress, or a way to verify the result.

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/superplan-md/superplan-plugin/superplan-shape
Any agent
npx skills add superplan-md/superplan-plugin --skill superplan-shape
Clone the repo
git clone --depth 1 https://github.com/superplan-md/superplan-plugin

Made for: Claude Code, Codex.

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,017 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 $0.00036 $0.05017
Opus 5 $0.00018 $0.02508
Sonnet 5 $0.00007 $0.01003
Haiku 4.5 $0.00004 $0.00502

Measured 2d ago against content hash 803b75bf6c7c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

superplan-shape 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 2d 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.

output/skills/superplan-shape/SKILL.md · 504 lines

How it starts

The opening of the file, as written. The whole thing — 504 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Shape Work

Overview

Create the minimum durable artifact structure and execution trajectory that preserves visibility, verification quality, and bounded execution.

This skill is not a task generator. It is a trajectory shaper.

Its job is to shape work so the agent can move with bounded autonomy while staying aligned to the user's real expectations. It must not collapse graph-shaped work into a single task merely because one agent could carry it alone.

Phase Ownership Rule

This skill owns artifact creation and execution trajectory, not open-ended analysis.

  • shape the minimum durable structure that makes the next execution move safe
  • choose the proof path before broad implementation starts
  • once the executable frontier is clear, stop shaping and hand to execution

Trigger

Use when:

  • superplan-route has decided Superplan should engage
  • the work needs durable structure created now
  • the next step is to author plan, spec, or task artifacts proportional to the work
  • the system must decide how much of the work is shapeable now versus discovery-driven
  • the system must choose a verification loop before execution begins

Stay Out

Do not shape work when:

  • superplan-route decided to stay out
  • execution is already fully shaped
  • the request was already answered directly
  • creating artifacts would add no value

Inputs And Assumptions

Inputs:

  • routing decision and chosen depth
  • user request and raw narrative when available
  • repo state
  • current .superplan/ artifacts if any
  • workspace context when available
  • existing verification loops
  • existing user-owned harnesses, scripts, custom skills, and workflows
  • recent decision log entries when relevant
  • known gotchas when relevant

Assumptions:

  • depth determines how much structure to create
  • not all work is fully deterministic at shaping time
  • some work should be represented as investigation, prototype, or decision-gate work before deeper decomposition
  • the right shaping output is often a trajectory, not a frozen perfect plan
  • shaping should stop once the minimum useful artifact set and next executable frontier are clear
  • multi-step work means work with 3 or more distinct steps, or work where sequencing across files or components matters; do not rationalize 3-step work as "only two steps" to skip graph shaping
  • dense PRDs, JTBD dumps, implementation checklists, or multi-surface requests should default to multiple tracked tasks unless they truly collapse to one bounded executable unit
  • if different parts of the work need different acceptance checks, they should usually not share one task contract
  • when useful workspace or global skills already exist for planning, brainstorming, review, debugging, or verification, shaping should route execution toward them instead of inventing an ad hoc loop

Read the full file on GitHub · 504 lines

Files

What ships with it

7 files 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. 2d ago First seen · 504 lines · 36 tokens per session scan A 803b75bf6c7c

Subscribe to this mod's changes

superplan-shape is a skill published in the GitHub repository superplan-md/superplan-plugin (72 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 36 tokens to every session and 5,017 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 2026-08-30.

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