success-plan-canvas

success-plan-canvas is a skill for Claude Code, Codex from t0ddc3by/claude-for-customer-success. It costs 61 tokens per session (6,223 once invoked), scanned A, original, no licence file.

Structured Customer Success Plan canvas documents for an account at onboarding, before expansion, or before renewal. They use Outcome & Value Catalog data to show intended outcomes and delivered value.

In plain words
What is it for?
Use them to prepare onboarding, expansion, or renewal reviews and to document outcomes for a specific account.
Why use it?
They provide a consistent view of customer goals and highlight missing or incomplete value information at important account stages.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use them to prepare onboarding, expansion, or renewal reviews and to document outcomes for a specific account.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/t0ddc3by/claude-for-customer-success/success-plan-canvas
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 t0ddc3by/claude-for-customer-success --skill success-plan-canvas
Clone the repo
git clone --depth 1 https://github.com/t0ddc3by/claude-for-customer-success

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 success-plan-canvas

README.md
[![agentmods](https://agentmods.dev/badge/skills/t0ddc3by/claude-for-customer-success/success-plan-canvas/github.svg)](https://agentmods.dev/skills/t0ddc3by/claude-for-customer-success/success-plan-canvas)
Your own site
<a href="https://agentmods.dev/skills/t0ddc3by/claude-for-customer-success/success-plan-canvas"><img src="https://agentmods.dev/badge/skills/t0ddc3by/claude-for-customer-success/success-plan-canvas/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 success-plan-canvas

Your own site · 80×15
<a href="https://agentmods.dev/skills/t0ddc3by/claude-for-customer-success/success-plan-canvas"><img src="https://agentmods.dev/badge/skills/t0ddc3by/claude-for-customer-success/success-plan-canvas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,223 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 $0.00061 $0.06223
Opus 5.5 $0.00024 $0.02489
Sonnet 5.5 $0.00012 $0.01245
Haiku 4.5 $0.00006 $0.00622

Measured 1mo ago against content hash 8ce162874666, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

success-plan-canvas 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 1mo 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.

csm/skills/success-plan-canvas/SKILL.md · 540 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

5 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. 1mo ago Changed · +1 lines 8ce162874666
  2. 2mo ago First seen · 539 lines · 61 tokens per session scan A c61c9ce50564

Subscribe to this mod's changes

success-plan-canvas is a skill published in the GitHub repository t0ddc3by/claude-for-customer-success (66 stars, last pushed 1mo ago), with no licence file. It adds 61 tokens to every session and 6,223 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 2026-08-30.

Related

success-plan-canvas compared with skills from other repositories

success-plan-canvas next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
success-plan-canvast0ddc3by/claude-for-customer-successSkill661mo agononeA61Claude Code, Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code