depression-sensitive-content

depression-sensitive-content is a skill for Claude Code, Codex from humanity4ai/project_human. It costs 65 tokens per session (2,616 once invoked), scanned A, original, MIT.

A guide for reviewing and rewriting content so it is less stigmatizing and emotionally safer for people affected by depression. It uses respectful language and avoids medical advice or diagnosis.

In plain words
What is it for?
Auditing product copy, replacing stigmatizing phrases, improving mental-health-related content, and making text gentler and easier to read.
Why use it?
It helps remove shame, blame, and wording that can increase distress. It also makes information easier to process when concentration and energy are limited.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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/humanity4ai/project_human/depression-sensitive-content
Any agent
npx skills add humanity4ai/project_human --skill depression-sensitive-content
Clone the repo
git clone --depth 1 https://github.com/humanity4ai/project_human

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 depression-sensitive-content

README.md
[![agentmods](https://agentmods.dev/badge/skills/humanity4ai/project_human/depression-sensitive-content.svg)](https://agentmods.dev/skills/humanity4ai/project_human/depression-sensitive-content)
Your own site
<a href="https://agentmods.dev/skills/humanity4ai/project_human/depression-sensitive-content"><img src="https://agentmods.dev/badge/skills/humanity4ai/project_human/depression-sensitive-content.svg" alt="Measured on agentmods" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,616 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 5.1 $0.00065 $0.02616
Opus 5 $0.00032 $0.01308
Sonnet 5 $0.00013 $0.00523
Haiku 4.5 $0.00006 $0.00262

Measured 6d ago against content hash ed0f2a2bb76c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

depression-sensitive-content 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 6d 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.

skills/depression-sensitive-content/SKILL.md · 306 lines

How it starts

The opening of the file, as written. The whole thing — 306 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Depression-Sensitive Content

Purpose

This skill audits and rewrites product content to reduce shame language, lower cognitive load, and improve emotional safety for people affected by depression. It applies person-first language, avoids stigmatizing terminology, and ensures content is emotionally safe without being clinical or prescriptive.

When to Use

  • "Make this content more sensitive to people with depression"
  • "Remove stigmatizing language from this text"
  • "Audit this page for mental health sensitivity"
  • "Rewrite this for emotional safety"
  • "Improve cognitive accessibility for depressed users"
  • "Check for shame-inducing language"
  • "Suggest gentler alternatives to this phrasing"

Boundaries

Always

  • Use person-first language: "person living with depression" NOT "depressed person"
  • Avoid terms like "suffering from," "mentally ill," "victim of depression"
  • Never provide medical advice, diagnosis, or treatment recommendations
  • Include crisis resources when content discusses suicidal ideation
  • Preserve scientific accuracy when discussing depression

Ask First

  • Ask user before suggesting professional help if no crisis indicators present
  • Confirm before adding clinical terminology to non-clinical content
  • Verify cultural context before applying language guidelines

Never

  • Never use phrases like "committed suicide" (use "died by suicide")
  • Never describe depression as "a disease" or "mental illness" in casual contexts
  • Never use "mentally ill" as a noun
  • Never suggest depression is a "choice" or "weakness"
  • Never provide therapy techniques in non-therapeutic contexts
  • Never promise cures or treatments

Principles

This skill is grounded in the Humanity4AI core principles and the following skill-specific principles:

  1. Non-clinical scope is absolute. This skill provides content design guidance, not clinical advice. Any content that touches on clinical treatment must be flagged in safety_flags.
  2. Stigma reduction is the primary goal. Language that pathologises, dramatises, or trivialises depression must be identified and rewritten.
  3. Cognitive load matters. People affected by depression may have reduced working memory and attention. Content must be chunked, clear, and low-demand.
  4. Explicit uncertainty over false reassurance. Avoid language that promises recovery or implies a simple path to wellness.
  5. Escalation paths are mandatory. Any content that touches on crisis, self-harm, or suicidality must include escalation guidance.

Read the full file on GitHub · 306 lines

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. 6d ago First seen · 306 lines · 65 tokens per session scan A ed0f2a2bb76c

Subscribe to this mod's changes

depression-sensitive-content is a skill published in the GitHub repository humanity4ai/project_human (4 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 2,616 once invoked, about $0.0003 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 2026-08-31.

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