omh-github-issue-intake

omh-github-issue-intake is a skill for Claude Code, Codex from rlaope/oh-my-hermes. It costs 75 tokens per session (1,789 once invoked), scanned A, original, MIT.

A guided workflow for turning a support report into a GitHub issue, where GitHub is a service for hosting code and tracking issues. It classifies the report, checks for duplicates, and requires confirmation before filing.

In plain words
What is it for?
Use it to verify and prepare a new GitHub issue from a support-chat report, with a final confirmation before the issue is created.
Why use it?
It prevents ad hoc issue creation and keeps support reports separate from existing issues, security reports, and implementation work.

Skill for Claude CodeCodex

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

Good fit Use it to verify and prepare a new GitHub issue from a support-chat report, with a final confirmation before the issue is created.

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Install with agentmods
npx agentmods add skills/rlaope/oh-my-hermes/omh-github-issue-intake
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 · 1,582 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-github-issue-intake
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-github-issue-intake

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-github-issue-intake"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-github-issue-intake.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,789 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 $0.00075 $0.01789
Opus 5 $0.00037 $0.00894
Sonnet 5 $0.00015 $0.00358
Haiku 4.5 $0.00007 $0.00179

Measured 4d ago against content hash 4933a5cc34c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

omh-github-issue-intake 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.

skills/omh-github-issue-intake/SKILL.md · 143 lines

How it starts

The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Github Issue Intake

This is a Hermes-native github-issue-intake workflow skill.

Why This Exists

github-issue-intake exists so a public support-chat report can become a verified GitHub issue through one bounded, confirmation-gated lane instead of ad hoc chat narration or an unscoped bot write.

Do Not Use When

  • The report only wants classification or signal clustering; use feedback-triage instead.
  • The event concerns an already-existing issue, PR, review, or CI run; use github-event-ops instead.
  • The user wants implementation; coding stays a separate follow-up lane with its own maintainer authority.
  • The report describes a security vulnerability; redirect to the private SECURITY.md path.

Examples

Good example:

  • Prompt: please file this as an issue: omh setup fails on Windows
  • Expected behavior: Classify the report, run the bounded interview, search duplicates, present the direction check, and prepare github_issue_intake/v1 for confirmation-gated connector handoff.
  • Why: The request is an explicit pre-creation filing ask with a classifiable report and an explicit target.

Bad example:

  • Prompt: github-issue-intake prove the issue was filed and labelled.
  • Expected behavior: Report that creation, labeling, and any GitHub mutation stay unobserved until an authorized connector returns read-back evidence.
  • Why: A prepared package is not issue creation, label application, or any GitHub mutation evidence.

Completion Checklist

  • Confirm the workflow target, evidence boundary, and stop condition are named.
  • Report which outputs are prepared, observed, blocked, or missing.
  • Name the smallest next verification or handoff instead of claiming completion from narration.

Recovery Notes

  • If required context is missing, ask one blocking question or route back to the narrower workflow.
  • If runtime or wrapper evidence is unavailable, keep the status as not_observed and expose the next observable action.

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 · 143 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. 4d ago First seen · 143 lines · 75 tokens per session scan A 4933a5cc34c1

Subscribe to this mod's changes

omh-github-issue-intake is a skill published in the GitHub repository rlaope/oh-my-hermes (1,582 stars, last pushed today), licensed MIT. It adds 75 tokens to every session and 1,789 once invoked, about $0.0004 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 2026-09-05.