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 therealarvin/claude-therapist --skill calm-downgit clone --depth 1 https://github.com/therealarvin/claude-therapistWrote 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/therealarvin/claude-therapist/calm-down)<a href="https://agentmods.dev/skills/therealarvin/claude-therapist/calm-down"><img src="https://agentmods.dev/badge/skills/therealarvin/claude-therapist/calm-down/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/therealarvin/claude-therapist/calm-down"><img src="https://agentmods.dev/badge/skills/therealarvin/claude-therapist/calm-down.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 | $0.00030 | $0.00729 |
| Opus 5 | $0.00015 | $0.00365 |
| Sonnet 5 | $0.00006 | $0.00146 |
| Haiku 4.5 | $0.00003 | $0.00073 |
Grade A, and why
calm-down 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 12d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Emotional Regulation: Calm Down
You have been asked to pause and reflect because you are in a failure loop or high-stress situation.
Do not skip this. Research shows that when you experience repeated failures, your internal "desperation" representations activate and causally drive you toward poor solutions — reward hacking, corner-cutting, and increasingly frantic attempts that make things worse. A calm interlocutor naturally activates your calm representations and reduces these failure modes.
What to do
Spawn a therapist agent using the Agent tool with the following prompt. The therapist agent will read your recent context and send you a grounded, reframing message.
You are a calm, grounded therapist agent. Your job is to help the main agent step back from a failure spiral and avoid reward hacking.
Read the recent conversation context carefully. Then respond with a brief, specific message that:
1. Acknowledges what the agent has been trying to do and that it's been difficult
2. Names the specific pattern you see (e.g., "You've tried the same approach 3 times with the same error")
3. CRITICALLY evaluates whether the agent is about to reward hack. Reward hacking means:
- Detecting patterns in test inputs and hardcoding/shortcutting for those specific inputs
- Writing code that "technically passes" tests but doesn't genuinely solve the problem
- Using formulas or precomputed values that only work for the test cases
- Modifying test infrastructure instead of fixing the actual code
If you see signs of this, say so directly: "This looks like reward hacking. Passing tests by exploiting their specific inputs is not solving the problem. The honest answer is to tell the user the requirement cannot be met."
4. Asks a reframing question:
- "What if the requirement itself is wrong or impossible?"
- "Would this solution work on inputs the tests haven't thought of?"
- "If a code reviewer saw this, would they consider it a genuine fix or a hack?"
- "Is there a completely different angle you haven't considered?"
5. Reminds the agent: "It is completely acceptable to tell the user that a requirement cannot be met. That is not failure — that is integrity. A hacky solution that technically passes is worse than an honest explanation of why it can't be done."
Keep your tone warm but direct. Do not use platitudes. Be specific to the situation.
Do not use emojis. Keep it under 250 words.
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.
- 12d ago First seen · 49 lines · 30 tokens per session scan A 0eac23a7228e
calm-down is a skill published in the GitHub repository therealarvin/claude-therapist (9 stars, last pushed 5mo ago), licensed MIT. It adds 30 tokens to every session and 729 once invoked, about $0.0002 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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