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 Hmbown/Wizards-of-the-Ghosts --skill calm-emotionsgit clone --depth 1 https://github.com/Hmbown/Wizards-of-the-GhostsWrote 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/hmbown/wizards-of-the-ghosts/calm-emotions)<a href="https://agentmods.dev/skills/hmbown/wizards-of-the-ghosts/calm-emotions"><img src="https://agentmods.dev/badge/skills/hmbown/wizards-of-the-ghosts/calm-emotions/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/hmbown/wizards-of-the-ghosts/calm-emotions"><img src="https://agentmods.dev/badge/skills/hmbown/wizards-of-the-ghosts/calm-emotions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00079 | $0.00712 |
| Opus 5 | $0.00039 | $0.00356 |
| Sonnet 5 | $0.00016 | $0.00142 |
| Haiku 4.5 | $0.00008 | $0.00071 |
Grade A, and why
calm-emotions 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 9d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Calm Emotions
De-escalate tension and restore productive conditions in a heated situation.
What This Skill Does
Calm Emotions suppresses strong feelings, ending fear and charm effects. The real-world version is de-escalation: drafting responses that lower the temperature in a heated thread, designing cool-down protocols for conflict situations, or reframing inflammatory language into productive terms. This is the spell for when the conversation has gone off the rails and someone needs to be the adult. In this grimoire, Calm Emotions is treated as a metaphorical spell with a shipping-now delivery profile. Canonical reference input: Calm Emotions (spell).
When To Use
- A conversation, thread, or meeting has gotten heated and needs de-escalation before productive work can resume.
- You need to draft a response to an angry message that acknowledges the emotion without escalating.
- A team conflict needs a structured cool-down before the next interaction.
Prerequisites
- No extra runtime dependencies beyond Hermes Agent and the normal toolset for this session.
Procedure
- Restate the target, the success condition, and any no-touch boundaries before taking action.
- Assess the emotional temperature: what specifically is inflamed and why.
- Identify the legitimate grievance underneath the heat — there usually is one.
- Draft the de-escalation: acknowledge the emotion, validate the concern, redirect to productive action.
- Include a cool-down recommendation: how long before re-engaging, and what should happen in the interim.
- Package the result as the deliverables below, with confidence, assumptions, and unresolved risk called out explicitly.
Deliverables
- A de-escalation response that acknowledges emotion without dismissing or escalating.
- A cool-down protocol: recommended pause duration and re-engagement conditions.
- The underlying legitimate concern extracted from the heated communication.
Pitfalls / Guardrails
- Keep the metaphor anchored to a real mechanism instead of drifting into lore.
- De-escalation is not dismissal. "Calm down" is not a de-escalation strategy — it is an escalation trigger.
- Do not suppress legitimate anger about real problems. Sometimes the heat is appropriate and the system needs to change, not the emotion.
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.
- 9d ago First seen · 67 lines · 79 tokens per session scan A 7e17f87227ea
calm-emotions is a skill published in the GitHub repository Hmbown/Wizards-of-the-Ghosts (107 stars, last pushed 5mo ago), licensed CC0-1.0. It adds 79 tokens to every session and 712 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 2026-09-03.
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