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wr-itil:outcome-led-planning

wr-itil:outcome-led-planning is a skill for Claude Code, Codex from windyroad/agent-plugins. It costs 62 tokens per session (3,061 once invoked), scanned A, original, no licence file.

A planning method that starts by confirming a measurable outcome, then breaks delivery into small current steps with provisional future work. It also reviews architecture, user jobs and risks as the plan changes.

In plain words
What is it for?
It is for planning substantial or outcome-focused work rather than routine one-step tasks.
Why use it?
It reduces vague plans and makes large work easier to deliver and revise in stages.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the wr-itil plugin — 31 skills, 1 agent shipped together

not rated 6repo changed 2d ago A scan 62 tokens no licence

Good fit It is for planning substantial or outcome-focused work rather than routine one-step tasks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/windyroad/agent-plugins/outcome-led-planning
View source ↗ windyroad/agent-plugins windyroad.github.io
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.

Any agent
npx skills add windyroad/agent-plugins --skill outcome-led-planning
Clone the repo
git clone --depth 1 https://github.com/windyroad/agent-plugins

Made for: Claude Code, Codex.

Or install wr-itil, the plugin that ships this one along with the rest of its 31 skills, 1 agent.

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 wr-itil:outcome-led-planning

README.md
[![agentmods](https://agentmods.dev/badge/skills/windyroad/agent-plugins/outcome-led-planning/github.svg)](https://agentmods.dev/skills/windyroad/agent-plugins/outcome-led-planning)
Your own site
<a href="https://agentmods.dev/skills/windyroad/agent-plugins/outcome-led-planning"><img src="https://agentmods.dev/badge/skills/windyroad/agent-plugins/outcome-led-planning/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for wr-itil:outcome-led-planning

Your own site · 80×15
<a href="https://agentmods.dev/skills/windyroad/agent-plugins/outcome-led-planning"><img src="https://agentmods.dev/badge/skills/windyroad/agent-plugins/outcome-led-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,061 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00062 $0.03061
Opus 5.5 $0.00025 $0.01224
Sonnet 5.5 $0.00012 $0.00612
Haiku 4.5 $0.00006 $0.00306

Measured 2d ago against content hash 4e6a243eb434, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

wr-itil:outcome-led-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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/github-project-checkpoint.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

packages/itil/skills/outcome-led-planning/SKILL.md · 123 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

6 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 Changed · +4 lines 4e6a243eb434
  2. 11d ago Changed · +5 lines 724972c76e3b
  3. 18d ago Changed · +4 lines 238228b8399f
  4. 20d ago Changed · +2 lines 178a7ced58ad
  5. 21d ago Changed · +6 lines · -1 tokens per session dd398299a72d
  6. 24d ago Changed 5c3fa5e057db
  7. 25d ago Changed · +27 lines e370ab5386a0
  8. 27d ago First seen · 75 lines · 63 tokens per session scan A fa69c4ba7825

Subscribe to this mod's changes

wr-itil:outcome-led-planning is a skill published in the GitHub repository windyroad/agent-plugins (6 stars, last pushed yesterday), with no licence file. It adds 62 tokens to every session and 3,061 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-15.

PlanningProject management
Related

wr-itil:outcome-led-planning compared with skills from other repositories

wr-itil:outcome-led-planning next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
wr-itil:outcome-led-planningwindyroad/agent-pluginsSkill6yesterdaynoneA62Claude Code, Codex
imagegenopenai/codexSkill135ktodayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill100kyesterdayApache-2.0A19Claude Code
browser-automationopenclaw/openclawSkill394ktodayMITA36Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill316k8d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code