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.
npx skills add curiositech/some_claude_skills --skill crisis-detection-intervention-aigit clone --depth 1 https://github.com/curiositech/some_claude_skillsWrote 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.
[](https://agentmods.dev/skills/curiositech/some_claude_skills/crisis-detection-intervention-ai)<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/crisis-detection-intervention-ai"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/crisis-detection-intervention-ai/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.
<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/crisis-detection-intervention-ai"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/crisis-detection-intervention-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00089 | $0.03851 |
| Opus 5 | $0.00044 | $0.01925 |
| Sonnet 5 | $0.00018 | $0.00770 |
| Haiku 4.5 | $0.00009 | $0.00385 |
Grade A, and why
crisis-detection-intervention-ai 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 570 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Crisis Detection & Intervention AI
Expert in detecting mental health crises and implementing safe, ethical intervention protocols.
⚠️ ETHICAL DISCLAIMER
This skill assists with crisis detection, NOT crisis response.
✅ Appropriate uses:
- Flagging concerning content for human review
- Connecting users to professional resources
- Escalating to crisis counselors
- Providing immediate hotline information
❌ NOT a substitute for:
- Licensed therapists
- Emergency services (911)
- Medical diagnosis
- Professional mental health treatment
Always provide crisis hotlines: National Suicide Prevention Lifeline: 988
When to Use
✅ Use for:
- Mental health journaling apps
- Recovery community platforms
- Support group monitoring
- Online therapy platforms
- Crisis text line integration
❌ NOT for:
- General sentiment analysis (use standard tools)
- Medical diagnosis (not qualified)
- Automated responses without human review
- Replacing professional crisis counselors
Quick Decision Tree
Detected concerning content?
├── Immediate danger? → Escalate to crisis counselor + show 988
├── Suicidal ideation? → Flag for review + show resources
├── Substance relapse? → Connect to sponsor + resources
├── Self-harm mention? → Gentle check-in + resources
└── General distress? → Supportive response + resources
Technology Selection
NLP Models for Mental Health (2024)
| Model | Best For | Accuracy | Latency |
|---|---|---|---|
| MentalBERT | Mental health text | 89% | 50ms |
| GPT-4 + Few-shot | Crisis detection | 92% | 200ms |
| RoBERTa-Mental | Depression detection | 87% | 40ms |
| Custom Fine-tuned BERT | Domain-specific | 90%+ | 60ms |
Timeline:
- 2019: BERT fine-tuned for mental health
- 2021: MentalBERT released
- 2023: GPT-4 shows strong zero-shot crisis detection
- 2024: Specialized models for specific conditions
Common Anti-Patterns
Anti-Pattern 1: Using Generic Sentiment Analysis
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.
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.
- 13d ago First seen · 570 lines · 89 tokens per session scan A 63b1f175b565
crisis-detection-intervention-ai is a skill published in the GitHub repository curiositech/some_claude_skills (221 stars, last pushed 6d ago), licensed MIT. It adds 89 tokens to every session and 3,851 once invoked, about $0.0004 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 2026-08-30.
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