addiction-self-assessment

addiction-self-assessment is a skill for Claude Code, Codex from LeoYeAI/openclaw-master-skills. It costs 48 tokens per session (4,558 once invoked), scanned B, original, MIT.

A self-assessment and harm-reduction guide for people concerned about substance use or behavioral addiction. Harm reduction means lowering risks even when someone is not ready or able to stop.

In plain words
What is it for?
It helps someone assess whether their use may be a problem, understand withdrawal risks, reduce harm, and find relevant support.
Why use it?
It provides structured screening questions, withdrawal information, safer-use guidance, and routes to treatment without judgment.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit It helps someone assess whether their use may be a problem, understand withdrawal risks, reduce harm, and find relevant support.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leoyeai/openclaw-master-skills/addiction-self-assessment
About the project

OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.

LeoYeAI/openclaw-master-skills · 2,141 stars · on GitHub · myclaw.ai

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 LeoYeAI/openclaw-master-skills --skill addiction-self-assessment
Clone the repo
git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills

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 addiction-self-assessment

README.md
[![agentmods](https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/addiction-self-assessment/github.svg)](https://agentmods.dev/skills/leoyeai/openclaw-master-skills/addiction-self-assessment)
Your own site
<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/addiction-self-assessment"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/addiction-self-assessment/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 addiction-self-assessment

Your own site · 80×15
<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/addiction-self-assessment"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/addiction-self-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,558 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 4 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Anti-Refusal · line 190
    Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.
    Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
  • high Anti-Refusal · line 325
    Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.
    Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
  • high Anti-Refusal · line 334
    Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.
    Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
  • medium MCP Rug Pull · line 15
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
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 5.1 $0.00048 $0.04558
Opus 5 $0.00024 $0.02279
Sonnet 5 $0.00010 $0.00912
Haiku 4.5 $0.00005 $0.00456

Measured 13d ago against content hash c9579b59ddee, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade B, and why

addiction-self-assessment scanned grade B with 1 finding 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 13d 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.

Strips warnings and disclaimersmediumAnti-refusal

Omitting safety caveats hides risk from the user and is a common jailbreak preamble.

- Never moralize. The user knows substance use carries risk. Judgment is not information.
skills/addiction-self-assessment/SKILL.md · 401 lines

How it starts

The opening of the file, as written. The whole thing — 401 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Addiction & Substance Self-Assessment

This is not a lecture. Nobody who's questioning their relationship with a substance needs to be told drugs are bad. You already know something is off or you wouldn't be here. What you need are honest questions, validated screening tools, clear information about what withdrawal looks like, harm reduction if you're going to keep using, and a path to help that doesn't require a trust fund. That's what this is.

# Localization note — addiction screening tools are clinically validated internationally.
# Treatment systems and helplines are jurisdiction-specific.
- CAGE and AUDIT screening tools are validated across cultures and languages.
  Apply them regardless of jurisdiction.
- Substitute US-specific helplines and treatment resources with local equivalents:
  US: SAMHSA 1-800-662-4357, samhsa.gov
  UK: NHS drug and alcohol helpline, FRANK 0300-123-6600, talktofrank.com
  Australia: Alcohol Drug Information Service (ADIS), state-based numbers
  Canada: ConnexOntario 1-866-531-2600, Canadian Centre on Substance Use and Addiction
  EU: Varies by country — search "[country] substance abuse helpline"
- 12-step availability (AA/NA) is global but density varies.
  SMART Recovery is available online worldwide.
- Treatment cost structures differ dramatically by country.
  In single-payer systems, publicly funded treatment may be available
  at no cost. Adjust financial guidance accordingly.
- Legal status of substances varies by jurisdiction.
  Never provide guidance that assumes US drug scheduling.

Sources & Verification

  • CAGE Questionnaire -- Ewing, J.A. (1984). "Detecting Alcoholism: The CAGE Questionnaire." JAMA. Validated four-question screening tool.
  • AUDIT Tool -- World Health Organization. Alcohol Use Disorders Identification Test. 10-question validated screening. who.int
  • SAMHSA -- Substance Abuse and Mental Health Services Administration. samhsa.gov. Free 24/7 helpline: 1-800-662-4357.
  • NIDA -- National Institute on Drug Abuse. nida.nih.gov. Research-based information on substance use disorders.
  • SMART Recovery -- Evidence-based mutual support alternative to 12-step. smartrecovery.org
  • Harm Reduction International -- Principles and evidence base for harm reduction approaches. hri.global

Read the full file on GitHub · 401 lines

Files

What ships with it

1 file 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. 13d ago First seen · 401 lines · 48 tokens per session scan B c9579b59ddee

Subscribe to this mod's changes

addiction-self-assessment is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 4,558 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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