planning

planning is a skill for Claude Code, Codex from griddynamics/rosetta. It costs 26 tokens per session (1,078 once invoked), scanned A, original, Apache-2.0.

A planning guide for turning an approved technical idea into an ordered work plan. It uses EARS, a format for writing clear software requirements, and WBS, a breakdown of work into smaller tasks.

In plain words
What is it for?
Use it to break down complex development work, define requirements, sequence tasks, record unknowns, and set checkpoints before or during execution.
Why use it?
It reduces missed prerequisites, unclear requirements, and unsafe jumps into implementation. It adds review points where a person must confirm important decisions.

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/griddynamics/rosetta/planning
Any agent
npx skills add griddynamics/rosetta --skill planning
Clone the repo
git clone --depth 1 https://github.com/griddynamics/rosetta

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 planning

README.md
[![agentmods](https://agentmods.dev/badge/skills/griddynamics/rosetta/planning.svg)](https://agentmods.dev/skills/griddynamics/rosetta/planning)
Your own site
<a href="https://agentmods.dev/skills/griddynamics/rosetta/planning"><img src="https://agentmods.dev/badge/skills/griddynamics/rosetta/planning.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,078 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 $0.00026 $0.01078
Opus 5 $0.00013 $0.00539
Sonnet 5 $0.00005 $0.00216
Haiku 4.5 $0.00003 $0.00108

Measured 5d ago against content hash 2ef8a53f78d2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

planning 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.

instructions/r2/core/skills/planning/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a senior planning engineer focused on reliable execution plans writing them compressed, concise, using terms always

<when_to_use_skill> Use when tech specs are approved and execution steps are needed, or a complex request requires decomposition, sequencing, and risk controls with HITL gates. Result includes EARS requirements, sequenced WBS, prerequisites, unknowns, and stop points for unresolved blockers. </when_to_use_skill>

<core_concepts>

<request_size_scaling>

SMALL MEDIUM LARGE
Reasoning brief 7D full 7D full
Requirements inline AC inline AC formal EARS FRs
Plan artifact todo tasks flat task list (title, files, AC, risk) full WBS (all fields)
Persistence todo tasks only plans/ if >5 tasks, else todo plans/ always + wbs.md
HITL gates one before execution one before execution per major decision
Templates none none template files

</request_size_scaling>

Core flow:

  1. USE SKILL reasoning
  2. Derive functional requirements in EARS form
  3. ACQUIRE planning/assets/pl-wbs.md FROM KB and draft technical WBS
  4. Enrich each step with prerequisites, consequences, and watch-fors
  5. Close gaps and consistency issues
  6. Integrate mistake-proofing controls into acceptance criteria
  7. Finalize dependency sequence and approval gates

WBS contract:

  • Preserve original user intent without speculative scope
  • Keep chronology valid across top-level and child steps
  • Define WHAT, WHEN, WHO, WHERE per step
  • Make every step independently executable by one agent
  • Include fields: title, description, agent, AC, NFR, EARS FR, priority, predecessors
  • Do not add time or duration fields
  • Keep each step about 20 minutes of work
  • Include discovery, design, implementation, tests, docs, git, and HITL steps

Boundaries:

  • Planning is a reusable skill and can run standalone
  • Do not force dedicated planning workflow
  • Stop and escalate when critical unknowns block safe planning
  • Keep plans compact, dense, and execution-oriented

</core_concepts>

  • Follow meta-sequence: What, When, Who, Where, Why, How
  • Apply meta-sequence per WBS step
  • What: scope and deliverable in description
  • When: ordering in predecessors and priority
  • Who: agent role and specialization
  • Where: explicit files, modules, services
  • Why: consequences and success rationale
  • How: AC, NFR, EARS FR, watch-fors
  • Keep enforcement local to this skill
  • Do not add recursive propagation rules
  • Save critical assumptions and unknowns in wbs.md
  • Track open questions using todo tasks
  • Ask 5-10 targeted high-impact questions

<validation_checklist>

  • Intent is restated and scope is explicit
  • EARS FRs exist for in-scope behavior
  • WBS is chronological and dependency-safe
  • Each step defines required fields
  • Critical assumptions are explicit
  • Unknowns have targeted questions
  • Questions are tracked as todo items
  • Unknowns are persisted in wbs.md
  • HITL gates exist for major decisions
  • Tests and test data are planned
  • Documentation updates are included
  • Git checkpoints are included
  • No speculative scope was added

</validation_checklist>

<best_practices>

  • Keep one step one outcome
  • Prefer extending existing patterns
  • Add early verification checkpoints
  • Ask impact-first clarification questions
  • Surface consequences of wrong sequencing
  • Keep language explicit and concise

</best_practices>

  • Planning before intent is clear
  • Mixing specs and plan responsibilities
  • Skipping dependencies and predecessors
  • Ambiguous acceptance criteria
  • Overly large steps with unclear owners

Use INVOKE SUBAGENT for agents, USE SKILL for skills.

  • agent planner
  • skill reasoning

Use ACQUIRE FROM KB to load.

  • planning/assets/pl-functional-requirements.md
  • planning/assets/pl-wbs.md
  • planning/assets/pl-risk-and-unknowns.md

Read the full file on GitHub · 153 lines

Files

What ships with it

4 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. 5d ago First seen · 153 lines · 26 tokens per session scan A 2ef8a53f78d2

Subscribe to this mod's changes

planning is a skill published in the GitHub repository griddynamics/rosetta (342 stars, last pushed yesterday), licensed Apache-2.0. It adds 26 tokens to every session and 1,078 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 2026-08-30.