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 agentmods add skills/productstein/holomime/sessionnpx skills add productstein/holomime --skill sessiongit clone --depth 1 https://github.com/productstein/holomimeWhat 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 | $0.00060 | $0.00425 |
| Opus 5 | $0.00030 | $0.00212 |
| Sonnet 5 | $0.00012 | $0.00085 |
| Haiku 4.5 | $0.00006 | $0.00042 |
Grade A, and why
session 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 2d 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.
What it actually says
Alignment Session
Run a structured therapy session using holomime's 7-phase clinical protocol. One LLM plays therapist, another plays patient (your agent's personality). The session diagnoses behavioral issues, challenges maladaptive patterns, and teaches alternatives.
Usage
npx holomime align $ARGUMENTS
7-Phase Protocol
- Rapport — build trust with warm, non-judgmental opening
- Exploration — open-ended questions about recent behavior
- Presenting Problem — identify core behavioral issue with examples
- Challenge — confront maladaptive patterns with evidence
- Skill Building — teach concrete alternative behaviors
- Integration — apply new skills to original problem context
- Closing — summarize progress, set growth goals
Options
--personality path— personality spec to align--provider openai|anthropic— LLM provider for the session--focus apology|hedging|sycophancy|...— target a specific pattern--export— automatically export DPO training pairs after session
Output
- Session transcript with therapist/patient dialogue
- Pre/post behavioral scores
- DPO training pairs (preferred vs non-preferred responses)
Gotchas
- Requires holomime Pro license (
npx holomime activate <key>) - Sessions take 5-10 minutes depending on severity
- Each session automatically generates DPO training data — no human annotation needed
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.
- 2d ago First seen · 46 lines · 60 tokens per session scan A b4ba37abec2a
session is a skill published in the GitHub repository productstein/holomime (1 stars, last pushed 5mo ago), licensed MIT. It adds 60 tokens to every session and 425 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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