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 witt3rd/oh-my-hermes --skill omh-autopilotgit clone --depth 1 https://github.com/witt3rd/oh-my-hermesWrote 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/witt3rd/oh-my-hermes/omh-autopilot)<a href="https://agentmods.dev/skills/witt3rd/oh-my-hermes/omh-autopilot"><img src="https://agentmods.dev/badge/skills/witt3rd/oh-my-hermes/omh-autopilot/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/witt3rd/oh-my-hermes/omh-autopilot"><img src="https://agentmods.dev/badge/skills/witt3rd/oh-my-hermes/omh-autopilot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Memory Poisoning · line 201 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
- medium Tool Misuse · line 114 Tool defaults are unsafe or overly permissive (e.g. disabled TLS verification, no authentication, world-writable permissions). Unsafe defaults widen the attack surface.Fix: Override unsafe defaults with secure settings (verify=True, auth required, restrictive permissions). Review and harden all tool configurations.
- medium Tool Misuse · line 179 Tool defaults are unsafe or overly permissive (e.g. disabled TLS verification, no authentication, world-writable permissions). Unsafe defaults widen the attack surface.Fix: Override unsafe defaults with secure settings (verify=True, auth required, restrictive permissions). Review and harden all tool configurations.
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 | $0.00021 | $0.02440 |
| Opus 5 | $0.00010 | $0.01220 |
| Sonnet 5 | $0.00004 | $0.00488 |
| Haiku 4.5 | $0.00002 | $0.00244 |
Grade A, and why
omh-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 11d 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 — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OMH Autopilot — End-to-End Autonomous Pipeline
When to Use
- End-to-end feature implementation from idea to verified, reviewed code
- The user says: "autopilot", "build me", "handle it all", "e2e this"
When NOT to Use
- Single-file changes or trivial tasks (just do them)
- You want to stay in one continuous session (autopilot is multi-session)
- You only need planning (omh-ralplan) or execution (omh-ralph)
Prerequisites
- The
omhplugin must be installed (~/.hermes/plugins/omh/)
Architecture: One Phase Step Per Invocation
Each autopilot invocation reads state, does ONE unit of work, exits. The caller re-invokes. This preserves fresh context at every level — including during the ralph loop.
Invocation 1: Phase 0 — requirements (or skip)
Invocation 2: Phase 1 — planning (or skip)
Invocations 3-N: Phase 2 — ralph iterations (one per call)
Invocation N+1: Phase 3 — QA cycle [FRESH SESSION]
Invocation M: Phase 4 — validation round [FRESH SESSION]
Final: Phase 5 — cleanup → complete
See references/caller-examples.md for how to drive the loop.
Procedure
Step 0: Resolve Instance and Acquire Lock
Autopilot drives a goal through spec → plan → ralph → QA → validation.
Two autopilot sessions on the same goal would race on autopilot,
ralph, and ralph-tasks state simultaneously. Use per-instance state
- advisory lock.
- Resolve
instance_idin this order:- If a confirmed spec exists at
.omh/specs/{name}-spec.md, useinstance_id = "{name}". - Else if a plan exists at
.omh/plans/ralplan-{slug}.md, useinstance_id = "{slug}". - Else derive from the goal:
instance_id = kebab(goal)[:60].
- If a confirmed spec exists at
- Acquire the autopilot lock:
Onlock = omh_state(action="lock", mode="autopilot", lock_key="{instance_id}", session_id="{HERMES_SESSION_ID or uuid}", holder_note="autopilot driving {goal_or_plan}")acquired=false, reportheld_by, offer wait/cancel/different goal. Stale-pid auto-release applies. - Pass
instance_idto everyomh_statecall in this invocation (autopilot, ralph, ralph-tasks). - When dispatching to ralph in Phase 2, pass the same
instance_idin the delegation context so the ralph subagent acquiresmode="ralph"lock on the same slug. - Release the autopilot lock at every exit point (paused,
blocked, complete, exception):
omh_state(action="unlock", mode="autopilot", lock_key="{instance_id}", session_id="{HERMES_SESSION_ID or uuid}")
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 229 lines · 21 tokens per session scan A bda63df3b001
omh-autopilot is a skill published in the GitHub repository witt3rd/oh-my-hermes (322 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 2,440 once invoked, about $0.0001 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 2026-08-30.
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