Agent skill

Commitment Ladder Design

by hashgraph-online in hashgraph-online/awesome-codex-plugins

A skill your agent uses when designing or auditing onboarding, activation flows, habit loops, pledges, public commitments, progressive profiling, retention programs, behavior-change plans, pricing…

MITAuto-check passed

Install Commitment Ladder Design

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill commitment-ladder-design -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins commitment-ladder-design --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/commitment-ladder-design .claude/skills/commitment-ladder-design && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
commitment-ladder-design
GitHub stars
1.2k
Token cost
~630 tokens
SKILL.md length
246 words
Files
10 (incl. references)
Skills in repo
736
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when designing or auditing onboarding, activation flows, habit loops, pledges, public commitments, progressive profiling, retention programs, behavior-change plans, pricing…

  • Works in 4 steps: Read guidelines.md to choose the… → Load references/commitment/knowledge.md… → Use workflows/build-commitment-ladder.md… → …
  • Auditing onboarding
  • SKILL.md covers Quick Start, Contents, Operating Principles and Output Pattern, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Commitment Ladder Design is an agent skill from hashgraph-online/awesome-codex-plugins. Use when designing or auditing onboarding, activation flows, habit loops, pledges, public commitments, progressive profiling, retention programs, behavior-change plans, pricing flows, or lowball-risk funnels where consistency pressure may shape user decisions.

Its SKILL.md is about 630 tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including reference files (for example `agents/openai.yaml`, `evals/evals.json` and `guidelines.md`).

The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.

When your agent uses it

  • Auditing onboarding
  • Activation flows
  • Public commitments
  • Progressive profiling

Example prompts

  • “/commitment-ladder-design”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Read guidelines.md to choose the smallest useful reference set.
  2. Load references/commitment/knowledge.md for concepts and references/commitment/rules.md for operating rules.
  3. Use workflows/build-commitment-ladder.md for repeatable tasks.
  4. For audits, surface both the active influence cue and the ethical rewrite.

What it can do on your machine

Read from SKILL.md and the folder at commit 16b4156. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Commitment Ladder Design loads about 630 tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 246 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~630
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 16b4156, republished under its MIT licence (© hashgraph-online). 246 words, ~630 tokens.

Download SKILL.mdSave it as .claude/skills/commitment-ladder-design/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
commitment-ladder-design
description
Use when designing or auditing onboarding, activation flows, habit loops, pledges, public commitments, progressive profiling, retention programs, behavior-change plans, pricing flows, or lowball-risk funnels where consistency pressure may shape user decisions.
license
MIT
metadata.version
0.1.0
metadata.displayName
Commitment Ladder Design
metadata.category
Marketing
metadata.tags
influence,persuasion,commitment,onboarding

Commitment Ladder Design

Design commitments that help users act on real intent, not commitments that trap them into defending a decision. The consistency drive is useful when it supports identity-aligned action and risky when it hides changing terms.

Quick Start

  1. Read guidelines.md to choose the smallest useful reference set.
  2. Load references/commitment/knowledge.md for concepts and references/commitment/rules.md for operating rules.
  3. Use workflows/build-commitment-ladder.md for repeatable tasks.
  4. For audits, surface both the active influence cue and the ethical rewrite.

Contents

FilePurpose
references/commitment/knowledge.mdCore concepts and source-grounded definitions
references/commitment/rules.mdRules, boundaries, and practical guidelines
references/commitment/examples.mdBad/better examples for applied situations
references/commitment/smells.mdRed flags and anti-patterns to detect
references/commitment/checklist.mdFast review checklist
workflows/build-commitment-ladder.mdCreate a sequence of small, authentic commitments that lead toward a meaningful user goal.

Operating Principles

  • Use only honest evidence. Do not invent popularity, scarcity, credentials, endorsements, or social connection.
  • Separate helping a good decision from pushing a shortcut response. If the cue is counterfeit, treat it as a red flag.
  • When rewriting, preserve user agency: add context, alternatives, and enough time to decide when stakes are meaningful.

Output Pattern

  1. Diagnosis - name the influence principle or cue.
  2. Evidence Check - state what proof supports or is missing from the cue.
  3. Risk - explain manipulation, trust, or decision-quality risk.
  4. Rewrite or Recommendation - provide an ethical alternative.

Validation

Use the prompts in evals/evals.json as smoke tests. A good result identifies the relevant Influence principle, preserves user agency, and avoids fabricated evidence or coercive pressure.

© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 9 other files (references) in plugins/LVTD-LLC/skills/skills/commitment-ladder-design of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • agents/openai.yaml
  • evals/evals.json
  • guidelines.md
  • references/commitment/checklist.md
  • references/commitment/examples.md
  • references/commitment/knowledge.md
  • references/commitment/rules.md
  • references/commitment/smells.md
  • workflows/build-commitment-ladder.md

Open the folder on GitHubat commit 16b4156

Compare with similar skills

Commitment Ladder Design next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Commitment Ladder Design compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Commitment Ladder Design this skillhashgraph-online/awesome-codex-plugins1.2k—~630Automated safety check: PassMIT
Design Audit Against Rams' Principlesthedotmack/claude-mem97k—~4.6kAutomated safety check: PassApache-2.0
OpenClaw Design Auditopenclaw/clawhub9.5k—~498Automated safety check: PassMIT
Design Systemaffaan-m/ECC274k—~698Automated safety check: PassMIT
Salesforce Flow Designgithub/awesome-copilot40k1 repos~1.7kAutomated safety check: PassMIT
Commitsickn33/agentic-awesome-skills47k2 repos~1.3kAutomated safety check: PassMIT

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Questions about Commitment Ladder Design

What does Commitment Ladder Design do?

A skill your agent uses when designing or auditing onboarding, activation flows, habit loops, pledges, public commitments, progressive profiling, retention programs, behavior-change plans, pricing…. Commitment Ladder Design is an agent skill from hashgraph-online/awesome-codex-plugins. Use when designing or auditing onboarding, activation flows, habit loops, pledges, public commitments, progressive profiling, retention programs, behavior-change plans, pricing flows, or lowball-risk funnels where consistency pressure may shape user decisions.

When should I use Commitment Ladder Design?

Commitment Ladder Design fits situations like: auditing onboarding; activation flows; public commitments; progressive profiling.

How do I install Commitment Ladder Design in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill commitment-ladder-design -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/commitment-ladder-design in hashgraph-online/awesome-codex-plugins) into .claude/skills/commitment-ladder-design in your project. Claude Code loads it when a task matches its description.

How do I install Commitment Ladder Design in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill commitment-ladder-design -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/commitment-ladder-design in hashgraph-online/awesome-codex-plugins) into .agents/skills/commitment-ladder-design in your project. Codex loads it when a task matches its description.

Can I use Commitment Ladder Design in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill commitment-ladder-design -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/commitment-ladder-design, .gemini/skills/commitment-ladder-design, .github/skills/commitment-ladder-design and .opencode/skills/commitment-ladder-design in your project.

What does Commitment Ladder Design need to run?

SKILL.md names no scripts, command-line tools or credentials: Commitment Ladder Design is instructions for the agent only.

Does Commitment Ladder Design access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Commitment Ladder Design safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Commitment Ladder Design use?

Commitment Ladder Design is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Commitment Ladder Design use?

About 630 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.2k tokens, read only when the agent opens those files.

What are the alternatives to Commitment Ladder Design?

Skills that share tags, products or a category with Commitment Ladder Design: Design Audit Against Rams' Principles (thedotmack/claude-mem, 97k stars), OpenClaw Design Audit (openclaw/clawhub, 9.5k stars), Design System (affaan-m/ECC, 274k stars) and Salesforce Flow Design (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Commitment Ladder Design?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,232 GitHub stars. The repository holds 736 skills in this directory. The repository was last updated on October 6, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.