Agent skill

Omh GitHub Issue Intake

by rlaope in rlaope/oh-my-hermes

[omh] Chat report that should become a GitHub issue: turn a public chat report into a confirmed, verified issue package.

MITAuto-check passed

Install Omh GitHub Issue Intake

skills CLI
$ npx skills add rlaope/oh-my-hermes --skill omh-github-issue-intake -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install rlaope/oh-my-hermes omh-github-issue-intake --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/omh-github-issue-intake .claude/skills/omh-github-issue-intake && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
omh-github-issue-intake
GitHub stars
3.2k
Token cost
~2.2k tokens
SKILL.md length
1,100 words
Files
1
Skills in repo
143
Repo updated
First seen
Licence
MIT

At a glance

[omh] Chat report that should become a GitHub issue: turn a public chat report into a confirmed, verified issue package.

  • The user says: github-issue-intake
  • SKILL.md covers Why This Exists, Do Not Use When, Examples and Completion Checklist, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Github issue intake

What it does

Omh GitHub Issue Intake is an agent skill from rlaope/oh-my-hermes. [omh] Chat report that should become a GitHub issue: turn a public chat report into a confirmed, verified issue package. Use when the user says: github-issue-intake, github issue intake, issue intake, file this as an issue, file a github issue, open a github issue, create a github issue, submit a github issue.

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with GitHub. The repository describes itself as: All in one plugin for Hermes Agent ⚚ the coding intelligence, a long-term memory system and model optimized workflow packages. The licence is MIT.

When your agent uses it

  • The user says: github-issue-intake
  • Github issue intake
  • File this as an issue
  • File a github issue

Example prompts

  • “/omh-github-issue-intake”

What it can do on your machine

Read from SKILL.md and the folder at commit f772a94. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Omh GitHub Issue Intake loads about 2.2k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 1,100 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from rlaope/oh-my-hermes at commit f772a94, republished under its MIT licence (© rlaope). 1,100 words, ~2,228 tokens.

Download SKILL.mdSave it as .claude/skills/omh-github-issue-intake/SKILL.md (or your agent's skills folder).
name
omh-github-issue-intake
description
[omh] Chat report that should become a GitHub issue: turn a public chat report into a confirmed, verified issue package. Use when the user says: github-issue-intake, github issue intake, issue intake, file this as an issue, file a github issue, open a github issue, create a github issue, submit a github issue.

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, live-incident-response, automation-blueprint, github-event-ops, github-issue-intake, buzz, +39 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.

Use When

Use when a public chat report should become a new GitHub issue: classify it, ask at most three decision-changing questions, search duplicates, confirm the direction, and hand the scoped creation to an authorized connector.

Strong routing signals: `github-issue-intake`, `github issue intake`, `issue intake`, `file this as an issue`, `file a github issue`, `open a github issue`, `create a github issue`, `submit a github issue`, `report a bug as an issue`, `new github issue`, `이슈로 올려줘`, `깃허브 이슈로 올려줘`, `이슈 등록해줘`, `깃허브 이슈 등록해줘`, `깃허브 이슈 만들어줘`, `깃허브 이슈 생성해줘`, `버그 리포트 올려줘`, `새 이슈 만들어줘`

Catalog Metadata

Category: github-ops Phase: issue-intake Hermes role: operator Quality tier: workflow-surface-gated Reasoning demand: standard

Quality bar:

  • Classify the report from supplied or observed facts and separate observation from inference.
  • Ask at most three unresolved, decision-changing questions; stop with a specific missing-evidence request instead of filing a vague issue.
  • Present the direction check, require confirmation, and keep prepared packages distinct from observed creation.

Handoff policy:

Keep intake, direction check, and confirmation in Hermes; hand the confirmed package to an authorized Hermes-native/wrapper connector for the single scoped create_issue write, and hand implementation to a coding workflow only after separate maintainer authorization.

Required inputs:

  • public report or summary
  • source boundary
  • explicit target repository
  • desired outcome
  • scope boundary
  • missing evidence

Expert clarification questions:

  • desired outcome
    • English: What is the smallest user-visible outcome this issue should ask for?
    • Korean: 이 이슈가 요구해야 할 가장 작은 사용자 관점 결과는 무엇인가요?
  • scope boundary
    • English: What is explicitly included in this issue, and what is explicitly out of scope?
    • Korean: 이 이슈에 명시적으로 포함되는 범위와 명시적으로 제외되는 범위는 무엇인가요?
  • missing evidence
    • English: Which reproduction steps, versions, or logs are still missing and would change the issue direction?
    • Korean: 이슈 방향을 바꿀 수 있는 재현 단계, 버전, 로그 중 아직 없는 증거는 무엇인가요?

Expected outputs:

  • github_issue_intake/v1
  • direction check
  • duplicate status
  • issue package or connector handoff
  • read-back verification or explicit blocker

Artifact expectations:

  • github_issue_intake/v1 metadata-only wrapper card when recorded

Safety rules:

  • Investigation is read-only: repository and documentation exploration plus GitHub duplicate search; never mutate code, settings, branches, commits, PRs, releases, or deployments.
  • No external mutation before the direction check and an explicit confirmation; a maintainer file-now requires authenticated-wrapper actor/evidence identity and never bypasses duplicate, template, security, or read-back gates.
  • Confirmation requires a complete direction check - type, user-visible problem, source summary, smallest desired outcome, included and excluded scope, observed evidence versus inference, and duplicate status - plus a completed duplicate search; any blocker (security redirect, missing evidence, connector unavailable, or credentials missing) stops confirmation and handoff and cannot be cleared by a later observed result.
  • A public reporter authorizes exactly one scoped create_issue against an explicit repository; code, configuration, branch, commit, PR, merge, deployment, and coding-executor mutations stay in their own maintainer-gated lanes.
  • Security vulnerability reports redirect to the private SECURITY.md reporting path instead of a public issue.
  • Core OMH never calls GitHub; only a checked-in issue-form builder can produce an authorized create_issue request. An authorized connector receives one stable idempotency-keyed request, must enforce that key externally, and returns observed result evidence bound to that request; dispatch consumes the core handoff, so dispatched or observed artifacts cannot hand off again.
  • A prepared issue package is not creation evidence; only connector read-back of repository, author, title, body, labels, and URL is observed evidence.
  • The target repository must be explicit or safely configured; never infer a cross-repository target from context.
  • github_issue_intake/v1 persists bounded metadata, digests, and refs only: no raw title, body, transcript, platform event, credential, prompt, private log, or private content; the complete request remains transient for the connector.
Show full SKILL.md (192 more words)Show less

Runtime Evidence

Preferred harness for this skill: github-issue-intake.

sh
omh runtime record --skill github-issue-intake --harness github-issue-intake --status started

Record observed delegation results; otherwise return not_available or not_observed. Prepared OMH routing is not execution, review, CI, merge-readiness, or merge evidence.

  • Treat wrapper memory/context summaries as advisory local context, not proof of opaque Hermes memory reads or changes. Preserve workflow intent and stop conditions; verify before claiming completion. Reply in the user's own words and the host's own voice: its SOUL.md persona owns reply language, tone, speech level, and sentence endings, progress updates included (where it sets no language, use the one the user wrote in), and OMH shapes structure and content only; OMH's record terms (surface, lane, wrapper, handoff, evidence boundary, not_observed) stay in records and tool calls, never in the sentence the user reads unless they ask about one; and when a stop condition or a decision the user owns ends the turn, offer the next action as a question rather than declaring what will not be done.

Use Hermes-native subagent/delegation features when available: native subagents -> Hermes delegation when available, otherwise sequential lanes.

Shared product, compatibility, topology, memory, harness, and execution rules: omh-routing/references/skill-common-rail.md. Load it when applicable; otherwise name an unavailable capability.

© rlaope, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/omh-github-issue-intake of rlaope/oh-my-hermes.

Open the folder on GitHubat commit f772a94

Compare with similar skills

Omh GitHub Issue Intake next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Omh GitHub Issue Intake compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Omh GitHub Issue Intake this skillrlaope/oh-my-hermes3.2k—~2.2kAutomated safety check: PassMIT
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Diagnosing Superpowers Sessionsobra/superpowers296k3 repos~1.7kAutomated safety check: PassMIT
GitHub Deep Researchbytedance/deer-flow83k5 repos~1.3kAutomated safety check: PassMIT
Greplooponyx-dot-app/onyx32k4 repos~3.3kAutomated safety check: PassMIT
Update V8 Versionopeninterpreter/openinterpreter69k2 repos~845Automated safety check: PassApache-2.0

Similar skills

  • PR Babysitter

    openinterpreter/openinterpreter

    Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.

    69k GitHub starsUsed in 3 repos~4.2k tokens
    DevelopmentAuto-check passed
  • Investigates a session where Superpowers went wrong, reads the transcripts on disk and produces an evidence-cited report, optionally prepared as a bug report for the maintainers.

    296k GitHub starsUsed in 3 repos~1.7k tokens
    Agent WorkflowsAuto-check passed
  • GitHub Deep Research

    bytedance/deer-flow

    Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.

    83k GitHub starsUsed in 5 repos~1.3k tokens
    Research & ScienceAuto-check passed
  • Greploop

    onyx-dot-app/onyx

    Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.

    32k GitHub starsUsed in 4 repos~3.3k tokens
    DevelopmentAuto-check passed
  • Update V8 Version

    openinterpreter/openinterpreter

    Bumps the pinned v8 and rusty_v8 versions in Codex, validates the release-candidate path with the v8-canary check, and traces failures to upstream build changes.

    69k GitHub starsUsed in 2 repos~845 tokens
    DevOps & CloudAuto-check passed
  • Last30days

    mvanhorn/last30days-skill

    Research what people actually say about any topic in the last 30 days.

    64k GitHub stars~7.8k tokensUpdated today
    Research & ScienceAuto-check: notes

More from rlaope/oh-my-hermes

All 143 skills in this repo
  • Omh Accessibility Audit

    rlaope/oh-my-hermes

    [omh] Screen-reader or keyboard accessibility gaps: prepare WCAG, keyboard, focus, screen-reader, target-size, and reflow evidence gates for UI surfaces.

    3.2k GitHub stars~2.8k tokensUpdated today
    Auto-check passed
  • Omh Agent Evaluation

    rlaope/oh-my-hermes

    [omh] Choosing between coding agents on evidence: compare executor or agent choices on reproducible tasks using quality, cost, time, tool, and evidence metrics.

    3.2k GitHub stars~2.1k tokensUpdated today
    Auto-check passed
  • Omh Agent Instructions

    rlaope/oh-my-hermes

    [omh] Agent instruction file for a repo -- AGENTS.md, CLAUDE.md, a Cursor rule: write or update what an agent cannot derive from the code, inside a marked region, with every command verified or…

    3.2k GitHub stars~2.2k tokensUpdated today
    Auto-check passed
  • Omh Agent Ops Review

    rlaope/oh-my-hermes

    [omh] AI agent progress for managers: help managers inspect AI-agent progress, blockers, quality gates, and throughput levers.

    3.2k GitHub stars~1.9k tokensUpdated today
    Auto-check passed
  • Omh AI Slop Cleaner

    rlaope/oh-my-hermes

    [omh] Messy or AI-generated code to clean up: delete AI-generated slop, dead code, and duplication while observable behavior stays identical.

    3.2k GitHub stars~2.7k tokensUpdated today
    Auto-check passed
  • Omh App Debugging

    rlaope/oh-my-hermes

    [omh] Application code misbehaves -- a wrong value, a flaky test, a lost update: reproduce it first, form competing hypotheses, discriminate them with the cheapest observation, and only then fix the…

    3.2k GitHub stars~2.3k tokensUpdated today
    Auto-check passed

Works with

Questions about Omh GitHub Issue Intake

What does Omh GitHub Issue Intake do?

[omh] Chat report that should become a GitHub issue: turn a public chat report into a confirmed, verified issue package. Omh GitHub Issue Intake is an agent skill from rlaope/oh-my-hermes. [omh] Chat report that should become a GitHub issue: turn a public chat report into a confirmed, verified issue package.

When should I use Omh GitHub Issue Intake?

Omh GitHub Issue Intake fits situations like: the user says: github-issue-intake; github issue intake; file this as an issue; file a github issue.

How do I install Omh GitHub Issue Intake in Claude Code?

Run `npx skills add rlaope/oh-my-hermes --skill omh-github-issue-intake -a claude-code`. Or copy the skill folder (skills/omh-github-issue-intake in rlaope/oh-my-hermes) into .claude/skills/omh-github-issue-intake in your project. Claude Code loads it when a task matches its description.

How do I install Omh GitHub Issue Intake in Codex?

Run `npx skills add rlaope/oh-my-hermes --skill omh-github-issue-intake -a codex`. Or copy the skill folder (skills/omh-github-issue-intake in rlaope/oh-my-hermes) into .agents/skills/omh-github-issue-intake in your project. Codex loads it when a task matches its description.

Can I use Omh GitHub Issue Intake in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rlaope/oh-my-hermes --skill omh-github-issue-intake -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/omh-github-issue-intake, .gemini/skills/omh-github-issue-intake, .github/skills/omh-github-issue-intake and .opencode/skills/omh-github-issue-intake in your project.

What does Omh GitHub Issue Intake need to run?

SKILL.md names no scripts, command-line tools or credentials: Omh GitHub Issue Intake is instructions for the agent only.

Does Omh GitHub Issue Intake access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Omh GitHub Issue Intake safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Omh GitHub Issue Intake use?

Omh GitHub Issue Intake is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Omh GitHub Issue Intake use?

About 2.2k tokens (SKILL.md is roughly 8.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Omh GitHub Issue Intake?

Skills that share tags, products or a category with Omh GitHub Issue Intake: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Diagnosing Superpowers Sessions (obra/superpowers, 296k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars) and Greploop (onyx-dot-app/onyx, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Omh GitHub Issue Intake?

rlaope (a GitHub user) maintains it in rlaope/oh-my-hermes, which has 3,207 GitHub stars. The repository holds 143 skills in this directory. The repository was last updated on October 8, 2026.

Source: rlaope/oh-my-hermes on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.