omh-ask

omh-ask is a skill for Claude Code, Codex from rlaope/oh-my-hermes. It costs 54 tokens per session (1,005 once invoked), scanned A, original, MIT.

A guided workflow for asking an external advisor to review a plan or question, while recording the evidence and limits of that advice.

In plain words
What is it for?
Use it to prepare advisor questions, capture the response, and summarize useful findings before making a decision.
Why use it?
It prevents outside feedback from being treated as verified implementation or review work when it has not actually been completed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to prepare advisor questions, capture the response, and summarize useful findings before making a decision.

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Install with agentmods
npx agentmods add skills/rlaope/oh-my-hermes/omh-ask
About the project

oh-my-hermes is an operating layer for Hermes Agent that organizes requests into workflows for planning, research, creation, coding handoffs, operations, and project memory. Hermes users run these workflows through the desktop app, CLI, or messenger app, while the catalogue add-ons extend its native capabilities.

rlaope/oh-my-hermes · 1,648 stars · on GitHub · rlaope.github.io

Install

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.

Any agent
npx skills add rlaope/oh-my-hermes --skill omh-ask
Clone the repo
git clone --depth 1 https://github.com/rlaope/oh-my-hermes

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for omh-ask

README.md
[![agentmods](https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-ask/github.svg)](https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-ask)
Your own site
<a href="https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-ask"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-ask/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.

agentmods 80×15 button for omh-ask

Your own site · 80×15
<a href="https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-ask"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-ask.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,005 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.01005
Opus 5 $0.00027 $0.00502
Sonnet 5 $0.00011 $0.00201
Haiku 4.5 $0.00005 $0.00101

Measured 6d ago against content hash fadc1b7fba0c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

omh-ask 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 6d 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.

skills/omh-ask/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ask

This is a Hermes-native ask workflow skill.

Why This Exists

ask exists to keep review work explicit, evidence-backed, and inside the Hermes/executor boundary instead of relying on ad hoc chat narration.

Do Not Use When

  • The request is casual chat, a status-only acknowledgement, or another workflow has stronger routing evidence.
  • The user needs implementation, review, CI, merge, or external publishing evidence that has not been delegated or observed.

Examples

Good example:

  • Prompt: ask: ask Claude as an external advisor to critique this plugin bridge plan before implementation.
  • Expected behavior: Prepare an advisor prompt, capture the response boundary, and summarize reusable critique.
  • Why: The user wants outside review before committing to a direction.

Bad example:

  • Prompt: ask: treat casual chat or unaccepted work as if this workflow already produced verified results.
  • Expected behavior: Ask a clarification question or route to a narrower workflow instead of forcing ask.
  • Why: The request lacks the required inputs or would overclaim work that Hermes did not observe.

Completion Checklist

  • Findings or no-issue results are grounded in concrete file, artifact, command, or source evidence.
  • Open questions, residual risk, and missing verification are named.
  • Fixes or follow-up work are separate handoffs unless the user explicitly asked to implement them.

Recovery Notes

  • If the reviewed target is missing, inspect the requested artifact or ask one target question.
  • If independent verification is unavailable, report the gap and avoid an approval-style claim.

Workflow Lane

  • Current lane: Automation and status (achievements, workspace-audit, production-audit, automation-blueprint, github-event-ops, github-issue-intake, buzz, agent-board, +35 more) - schedules, status, health, and ops review.
  • If intent belongs to another lane, hand back to oh-my-hermes or name the adjacent workflow.
  • Shared product, routing, compatibility, and evidence rules: omh-routing/references/skill-common-rail.md.

Read the full file on GitHub · 118 lines

Changes

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.

  1. 6d ago Changed fadc1b7fba0c
  2. 12d ago First seen · 118 lines · 54 tokens per session scan A 6bbc2da8afb9

Subscribe to this mod's changes

omh-ask is a skill published in the GitHub repository rlaope/oh-my-hermes (1,648 stars, last pushed yesterday), licensed MIT. It adds 54 tokens to every session and 1,005 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 2026-08-30.

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