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/autopilotnpx skills add productstein/holomime --skill autopilotgit clone --depth 1 https://github.com/productstein/holomimeWrote 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/productstein/holomime/autopilot)<a href="https://agentmods.dev/skills/productstein/holomime/autopilot"><img src="https://agentmods.dev/badge/skills/productstein/holomime/autopilot.svg" alt="Measured on agentmods" 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 | $0.00041 | $0.00409 |
| Opus 5 | $0.00020 | $0.00204 |
| Sonnet 5 | $0.00008 | $0.00082 |
| Haiku 4.5 | $0.00004 | $0.00041 |
Grade A, and why
autopilot 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 4d 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
Autopilot Alignment
One-command behavioral fix. Autopilot runs the full pipeline: diagnose patterns, determine severity, run a targeted therapy session, and apply corrections to the personality spec.
Usage
npx holomime autopilot $ARGUMENTS
Pipeline
- Diagnose — run 8 detectors against conversation history (no LLM cost)
- Triage — determine severity (routine / targeted / intervention)
- Treat — run therapy session focused on highest-severity patterns
- Apply — update
.personality.jsonwith behavioral corrections - Verify — re-run diagnosis to confirm improvement
Severity Levels
- Routine: no concerns, 0-1 warnings — light session
- Targeted: 1 concern or 2+ warnings — focused session on specific patterns
- Intervention: 2+ concerns — intensive session with multiple focus areas
Options
--personality path— personality spec to align--provider openai|anthropic— LLM provider for therapy--dry-run— diagnose and recommend without applying changes--export— export DPO training pairs after session
Gotchas
- Requires holomime Pro license (
npx holomime activate <key>) - Takes 5-15 minutes depending on severity
- Use
--dry-runfirst if you want to review changes before applying - The updated
.personality.jsonis saved alongside the original (backup created automatically)
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.
- 4d ago First seen · 45 lines · 41 tokens per session scan A 2e94560d578a
autopilot is a skill published in the GitHub repository productstein/holomime (1 stars, last pushed 5mo ago), licensed MIT. It adds 41 tokens to every session and 409 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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