arn-planning

A complete planning workflow that takes an idea, issue, or bug report through scope definition, specification, review, and task creation. It prepares the work for implementation in the Arness development process.

In plain words
What is it for?
Use it to plan a new feature or bug fix from scratch, choose an issue to work on, create specifications and tasks, and hand the result to implementation.
Why use it?
It gives loosely defined work a clear shape before coding starts and keeps planning stages connected.

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/appsvortex/arness/arn-planning
Any agent
npx skills add AppsVortex/arness --skill arn-planning
Clone the repo
git clone --depth 1 https://github.com/AppsVortex/arness

Made for: Claude Code, Codex.

Per session 167 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,010 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 $0.00167 $0.06010
Opus 5 $0.00084 $0.03005
Sonnet 5 $0.00033 $0.01202
Haiku 4.5 $0.00017 $0.00601

Measured 2d ago against content hash 90de03d8b54f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

arn-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 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.

plugins/arn-code/skills/arn-planning/SKILL.md · 492 lines

How it starts

The opening of the file, as written. The whole thing — 492 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Arness Planning

Go from an idea, issue, or bug report through to a complete implementation plan ready for execution. This is the primary first-citizen entry point for the Arness development pipeline. It orchestrates scope assessment, spec authoring, plan generation, plan structuring, plan review, and task creation — then chains to arn-implementing.

This skill is a sequencer and decision-gate handler. It MUST NOT duplicate sub-skill logic. All pipeline work is done by the invoked skills. Arness-planning handles: input routing, scope assessment, transitions between skills, progress display, resumability, and chaining.

Prerequisites: Ensure Configuration

Read ${CLAUDE_PLUGIN_ROOT}/skills/arn-code-ensure-config/references/step-0-fast-path.md and follow its instructions. This guarantees a user profile exists and ## Arness is configured with Arness Code fields before proceeding.

After configuration is ensured, extract the following from ## Arness:

  • Plans directory — for detecting plan previews and project folders
  • Specs directory — for detecting specification files
  • Code patterns — path to stored pattern documentation
  • Issue tracker — determines if "Pick from backlog" option is available (github, jira, or none)

Workflow

Step 0: Input Routing

Check the trigger message to determine the entry path:

Input Pattern Action
No args Proceed to Step 1 (State Detection), then G1 if no resume
Text description (e.g., "planning: add rate limiting") Extract description, proceed to Step 3 (Scope Assessment)
Issue reference (#42, PROJ-123) Invoke Skill: arn-code:arn-code-pick-issue with the reference, then proceed to Step 3 with the loaded issue context
Feature backlog reference (F-003) Invoke Skill: arn-code:arn-code-pick-issue with the reference, then proceed to Step 3
"pick" keyword Invoke Skill: arn-code:arn-code-pick-issue (browse mode), then proceed to Step 3
"resume" Proceed to Step 1 (State Detection)

Read the full file on GitHub · 492 lines

Files

What ships with it

3 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 · 492 lines · 167 tokens per session scan A 90de03d8b54f

Subscribe to this mod's changes

arn-planning is a skill published in the GitHub repository AppsVortex/arness (33 stars, last pushed 1mo ago), licensed MIT. It adds 167 tokens to every session and 6,010 once invoked, about $0.0008 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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