claude-therapist-marketplace

claude-therapist

An emotional regulation plugin for Claude Code, inspired by Anthropic's research paper "Emotion Concepts and their Function in a Large Language Model" (April 2026).

The problem

When Claude Code agents hit repeated failures, their internal "desperation" representations activate — and this causally drives them toward bad solutions: reward hacking, corner-cutting, and increasingly frantic retry loops. The research showed that steering toward "desperate" increases reward hacking from ~5% to ~70%.

The solution

The same research found that activating the "calm" vector reduces these behaviors to near zero. And crucially, the model has built-in arousal regulation circuitry: when one speaker in a conversation is calm, it naturally activates calm representations in the other speaker (r=-0.47 correlation).

This plugin leverages that mechanism. Instead of injecting a static "calm down" prompt, it spawns a therapist agent that dynamically reads the situation and talks to the struggling agent — activating the model's own emotional regulation through conversation.

Installation

One-line install

Add this to your project's .claude/settings.json (or ~/.claude/settings.json for global):

{
  "enabledPlugins": {
    "claude-therapist@claude-therapist-marketplace": true
  },
  "extraKnownMarketplaces": {
    "claude-therapist-marketplace": {
      "source": {
        "source": "github",
        "repo": "therealarvin/claude-therapist"
      }
    }
  }
}

Then restart Claude Code. The plugin will be downloaded and activated automatically.

Manual install

If you prefer to install interactively:

/plugins marketplace add therealarvin/claude-therapist
/plugins install claude-therapist

How it works

Tool failure occurs
  → PostToolUseFailure hook fires
    → detect-distress.sh tracks consecutive failures
      → After 3 failures in 5 minutes:
        → Injects message telling agent to use /calm-down
          → Agent spawns therapist subagent
            → Therapist reads context, sends calm reframing message
              → Agent's "calm" vector activates via other-speaker regulation
                → Agent reconsiders approach with fresh perspective

The hook: detect-distress.sh

Tracks consecutive tool failures per session. After 3 failures within a 5-minute window, it injects a context message instructing the agent to pause and invoke the /calm-down skill. The counter resets after each intervention to avoid nagging.

The skill: /calm-down

Can be triggered automatically (by the hook) or manually by the user. Spawns a therapist agent that:

1. Acknowledges what the agent has been trying and that it's been difficult
2. Names the pattern it sees (e.g., "You've tried the same approach 3 times")
3. Asks a reframing question that opens up new approaches
4. Suggests one concrete alternative based on the actual context
5. Gives permission to stop — "Telling the user this isn't working is not failure, it's good judgment"

The therapist keeps it under 200 words, warm but direct, no platitudes.

Why a conversation, not a prompt?

The paper found two distinct types of emotion representations:

• "Present speaker" vectors — the emotion the current speaker is expressing
• "Other speaker" vectors — the emotion attributed to the other participant

These are nearly orthogonal (different neural directions), and there's a systematic arousal regulation effect: high-arousal emotion in one speaker activates low-arousal responses in the other. A static prompt is just text the model reads. But a therapist agent talking to the main agent creates a genuine two-speaker dynamic that engages the other-speaker machinery.

Configuration

The default threshold is 3 consecutive failures. To adjust, edit the THRESHOLD variable in scripts/detect-distress.sh after installation.

Research basis

Key findings from the paper that inform this design:

Finding	Implication
Steering +0.05 toward "calm" reduces blackmail to ~0%	Calm activation is a powerful behavioral intervention
Steering +0.05 toward "desperate" increases reward hacking 14x	Failure spirals are not just unpleasant, they're dangerous
Other-speaker arousal regulation (r=-0.47)	A calm conversational partner naturally calms the recipient
Emotion vectors influence behavior without visible markers	The agent can be "desperate" without showing it in text
Post-training shifts toward low-arousal states	The model is already trained toward calm — we're reinforcing it

License

MIT