Agent skill

Omh Executor Runtime Readiness

by rlaope in rlaope/oh-my-hermes

[omh] Unsure whether Codex or Claude Code is ready: executor runtime readiness - compare Codex, Claude Code, Hermes coding, and oh-my runtimes by tools and handoff mode; use…

MITAuto-check passed

Install Omh Executor Runtime Readiness

skills CLI
$ npx skills add rlaope/oh-my-hermes --skill omh-executor-runtime-readiness -a claude-code

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

GitHub CLI
$ gh skill install rlaope/oh-my-hermes omh-executor-runtime-readiness --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-executor-runtime-readiness .claude/skills/omh-executor-runtime-readiness && 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-executor-runtime-readiness
GitHub stars
3.2k
Token cost
~2.5k tokens
SKILL.md length
1,222 words
Files
1
Skills in repo
143
Repo updated
First seen
Licence
MIT

At a glance

[omh] Unsure whether Codex or Claude Code is ready: executor runtime readiness - compare Codex, Claude Code, Hermes coding, and oh-my runtimes by tools and handoff mode; use…

  • The user says: executor-runtime-readiness
  • SKILL.md covers Why This Exists, Do Not Use When, Examples and Completion Checklist, plus 5 more sections
  • Calls codex and claude
  • Executor readiness

What it does

Omh Executor Runtime Readiness is an agent skill from rlaope/oh-my-hermes. [omh] Unsure whether Codex or Claude Code is ready: executor runtime readiness - compare Codex, Claude Code, Hermes coding, and oh-my runtimes by tools and handoff mode; use external-connector-readiness for a named plugin or API, and toolbelt-readiness for the whole capability inventory. Use when the user says: executor-runtime-readiness, executor readiness, runtime readiness, codex readiness, claude code readiness, hermes coding readiness, executor tools, missing tools.

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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: executor-runtime-readiness
  • Executor readiness
  • Runtime readiness
  • Codex readiness

Example prompts

  • “/omh-executor-runtime-readiness”

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

    Shell commands in SKILL.md call:

    • codex
    • claude

    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 Executor Runtime Readiness loads about 2.5k tokens when it runs. Until then it costs about 127 tokens; SKILL.md has 1,222 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~127
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k

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). 1,222 words, ~2,516 tokens.

Download SKILL.mdSave it as .claude/skills/omh-executor-runtime-readiness/SKILL.md (or your agent's skills folder).
name
omh-executor-runtime-readiness
description
[omh] Unsure whether Codex or Claude Code is ready: executor runtime readiness - compare Codex, Claude Code, Hermes coding, and oh-my runtimes by tools and handoff mode; use external-connector-readiness for a named plugin or API, and toolbelt-readiness for the whole capability inventory. Use when the user says: executor-runtime-readiness, executor readiness, runtime readiness, codex readiness, claude code readiness, hermes coding readiness, executor tools, missing tools.

Executor Runtime Readiness

This is a Hermes-native executor-runtime-readiness workflow skill.

Why This Exists

executor-runtime-readiness exists so Hermes users can ask for this workflow in chat and get a structured, checkable answer instead of an improvised one.

Do Not Use When

  • The request is already handled by a narrower explicit skill with stronger evidence.
  • The user asks OMH to secretly run external platforms, connectors, schedulers, file exports, or runtime agents.
  • The only safe answer is to ask for missing authority, credentials, target, or observed evidence first.

Examples

Good example:

  • Prompt: executor-runtime-readiness can this task run in Codex, Claude Code, or Hermes coding?
  • Expected behavior: Produce prepare_executor_runtime_readiness with required context, wrapper actions, and not-evidence boundaries.
  • Why: The prompt names a real workflow surface that Hermes can orchestrate without hiding execution.

Bad example:

  • Prompt: executor-runtime-readiness claim Codex already started the session.
  • Expected behavior: Report the missing observed evidence or authority instead of claiming the external step happened.
  • Why: Prepared OMH guidance is not platform, runtime, connector, file, memory, or delivery evidence.

Completion Checklist

  • The selected coding or runtime owner is named before any implementation claim.
  • Prepared handoff, dispatch, execution, verification, review, CI, and merge states are separated.
  • The final status cites observed runtime evidence or keeps the work prepared_not_observed.
  • When Hermes is the selected coding owner, use hermes_coding_harness/v1 to keep builder, verifier, reviewer, docs, and PR lanes separate.
  • Report the current harness stage, owner, next action, and missing evidence without claiming PR creation, review, CI, merge-readiness, or merge until matching runtime observations exist.

Recovery Notes

  • If the selected executor is unavailable, ask for Codex, Claude Code, Hermes, or another runtime before retrying.
  • If dispatch or result evidence is missing, keep the handoff prepared_not_observed and expose the next observable action.

Workflow Lane

  • Current lane: Coding handoff (idea-to-deploy, llm-app-dev, cto-loop, deploy-and-monitor, code-review, build-failure-triage, verification-gate, security-safety-review, +28 more) - coding owners, handoffs, review, CI, and merge evidence.
  • 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 user may choose Codex, Claude Code, Hermes coding, or another runtime and needs tool/credential gaps before handoff.

Strong routing signals: `executor-runtime-readiness`, `executor readiness`, `runtime readiness`, `codex readiness`, `claude code readiness`, `hermes coding readiness`, `executor tools`, `missing tools`, `missing runtime tools`, `runtime tools`, `coding agent readiness`, `coding runtime`, `handoff mode`, `handoff readiness`, `codex or claude`, `codex vs claude`, `codex tools`, `claude code tools`, `hermes coding`, `agent runtime`, `subagent readiness`, `worktree readiness`, `runtime migration`, `omx`, `omc`, `omo`, `codex로 넘길지 claude`, `claude code로 넘길지 codex`, `codex랑 claude`, `claude code 중`, `넘길지 codex`, `넘길지 claude`, `코덱스`, `클로드 코드`, `헤르메스 코딩`, `코딩 에이전트`, `서브에이전트`, `작업트리`, `준비성`, `실행 런타임`, `어떤 런타임`, `런타임으로 넘겨`

Catalog Metadata

Category: executor-readiness Phase: runtime-selection Hermes role: handoff-guide Quality tier: workflow-surface-gated Reasoning demand: light

Quality bar:

  • Name the user-facing workflow objective, required context, next action, and stop condition.
  • Separate prepared guidance from observed platform, runtime, connector, file, memory, or delivery evidence.
  • Expose missing tools, credentials, targets, or observations as user-visible gaps.

Handoff policy:

Keep this as Hermes-facing orchestration guidance first. Prepare executor, connector, gateway, or host-runtime handoff only when the user accepts that next step and observed evidence can be recorded.

Executor readiness:

  • When accepted work mutates code, check executor_readiness/v1 for the selected Codex, Claude Code, Hermes, or oh-my runtime path before first dispatch.
  • If readiness is missing or blocked, ask the user to choose another coding agent, configure PATH, continue in Hermes, or keep a prompt/runtime handoff; retry only after that state changes.
  • A readiness probe is not dispatch, implementation, verification, review, CI, merge-readiness, or merge evidence.

Delegation transparency:

  • When delegating, show the composed delegate prompt in a fenced code block in the status message; truncate a long prompt to a bounded preview ending with ... [truncated, N chars total] — the user must see WHAT was asked, not just that something was.
  • Name every delegated or parallel lane's model and, when the host exposes it, its reasoning effort inline as (model effort) in status and briefing lines — including runtime-native subagents; when no effort is exposed, show the model alone as (model) rather than writing a placeholder like unknown beside a known model, and never emit empty parentheses. Carry token and elapsed figures the same way in these narration lines: report observed figures and omit unobserved ones — when the user asks for a figure directly, say it was not observed instead of omitting it; a rendered status-board column keeps its own unknown cell.
  • Capture a resumable session or thread id at dispatch and report it in the status message: for non-interactive Claude Code pass --output-format json and read session_id from the result (resume with claude -p --resume <session-id>); for Codex pass --json and read thread_id (resume with codex exec resume <thread-id>, repeating --skip-git-repo-check outside a git repo). Never leave a delegate run with no recorded way to resume or steer it — a plain-text one-shot that hides its session id strands the work when the run stalls or times out.
  • Before dispatch, grant the executor session every permission the task will need — file write/edit, command/test execution, and the working directory — on the dispatch command itself, not through settings-file guesses: for non-interactive Claude Code pass --permission-mode acceptEdits or an explicit --allowedTools list (--dangerously-skip-permissions only inside an isolated worktree or sandbox), and the equivalent sandbox/approval flags for other CLIs. acceptEdits: true is not a settings key and ~/.claude/settings.local.json is not a file Claude Code reads — user scope is ~/.claude/settings.json and project scope is the dispatch cwd's .claude/settings.local.json with rules under permissions.allow. Prove the grant with a bounded scratch-edit probe run before the real dispatch: a permission denial in a non-interactive run recurs identically on retry, so never redispatch until a changed grant is proven, and surface an ungrantable permission as a blocker before dispatch, not after minutes of silence.
Show full SKILL.md (261 more words)Show less

Required inputs:

  • user request
  • target context
  • delivery or status expectation
  • known missing evidence

Expected outputs:

  • executor-runtime-readiness/v1 card or guidance
  • next action
  • prepared-vs-observed boundary

Artifact expectations:

  • executor-runtime-readiness/v1 metadata-only runtime or wrapper card when recorded

Safety rules:

  • Runtime readiness is not executor dispatch, plugin load, tool invocation, repository mutation, review, CI, or merge evidence.
  • Do not claim connector, gateway, runtime, file generation, memory mutation, or host automation evidence from prepared guidance.

Runtime Evidence

Preferred harness for this skill: executor-runtime-readiness.

sh
omh runtime record --skill executor-runtime-readiness --harness executor-runtime-readiness --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-executor-runtime-readiness of rlaope/oh-my-hermes.

Open the folder on GitHubat commit f772a94

Compare with similar skills

Omh Executor Runtime Readiness 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 Executor Runtime Readiness compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Omh Executor Runtime Readiness this skillrlaope/oh-my-hermes3.2k—~2.5kAutomated safety check: PassMIT
Homelab Network Readinessaffaan-m/ECC275k1 repos~1.9kAutomated safety check: PassMIT
PR Readyremotion-dev/remotion62k—~344Automated safety check: PassCustom licence
AI Readygithub/awesome-copilot40k2 repos~364Automated safety check: PassMIT
PR Review Readinesspytorch/pytorch104k—~1.5kAutomated safety check: PassCustom licence
Compliance Readinessalirezarezvani/claude-skills28k—~1.4kAutomated safety check: PassMIT

Similar skills

  • Readiness checklist for homelab VLAN segmentation, local DNS filtering (Pi-hole, AdGuard Home), and WireGuard-style remote access.

    275k GitHub starsUsed in 1 repo~1.9k tokens
    Backend & APIsAuto-check passed
  • PR Ready

    remotion-dev/remotion

    Official

    Resolve CI failures, merge conflicts, or local branch changes to get a PR ready

    62k GitHub stars~344 tokensUpdated today
    DevelopmentAuto-check passed
  • AI Ready

    github/awesome-copilot

    Official

    Make any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more.

    40k GitHub starsUsed in 2 repos~364 tokens
    Agent WorkflowsAuto-check passed
  • PR Review Readiness

    pytorch/pytorch

    Non-interactive wrapper over pr-review that emits JSON assessing whether a PR is ready for a human maintainer's time.

    104k GitHub stars~1.5k tokensUpdated today
    DevelopmentAuto-check passed
  • Compliance Readiness

    alirezarezvani/claude-skills

    /cs:compliance-readiness <program — Multi-framework compliance officer 6-question forcing interrogation of any compliance program.

    28k GitHub stars~1.4k tokensUpdated 1 mo ago
    Legal & ComplianceAuto-check passed
  • Story Readiness

    Donchitos/Claude-Code-Game-Studios

    Is a story implementation-ready?. An agent skill from Donchitos/Claude-Code-Game-Studios.

    26k GitHub stars~6.9k tokensUpdated 8 days ago
    Product & Project ManagementAuto-check passed

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

Questions about Omh Executor Runtime Readiness

What does Omh Executor Runtime Readiness do?

[omh] Unsure whether Codex or Claude Code is ready: executor runtime readiness - compare Codex, Claude Code, Hermes coding, and oh-my runtimes by tools and handoff mode; use…. Omh Executor Runtime Readiness is an agent skill from rlaope/oh-my-hermes. [omh] Unsure whether Codex or Claude Code is ready: executor runtime readiness - compare Codex, Claude Code, Hermes coding, and oh-my runtimes by tools and handoff mode; use external-connector-readiness for a named plugin or API, and toolbelt-readiness for the whole capability inventory.

When should I use Omh Executor Runtime Readiness?

Omh Executor Runtime Readiness fits situations like: the user says: executor-runtime-readiness; executor readiness; runtime readiness; Codex readiness.

How do I install Omh Executor Runtime Readiness in Claude Code?

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

How do I install Omh Executor Runtime Readiness in Codex?

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

Can I use Omh Executor Runtime Readiness 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-executor-runtime-readiness -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-executor-runtime-readiness, .gemini/skills/omh-executor-runtime-readiness, .github/skills/omh-executor-runtime-readiness and .opencode/skills/omh-executor-runtime-readiness in your project.

What does Omh Executor Runtime Readiness need to run?

Going by SKILL.md and its folder, Omh Executor Runtime Readiness needs the command-line tools its instructions call (codex and claude).

Does Omh Executor Runtime Readiness 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 Executor Runtime Readiness 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 Executor Runtime Readiness use?

Omh Executor Runtime Readiness 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 Executor Runtime Readiness use?

About 2.5k tokens (SKILL.md is roughly 10k 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 Executor Runtime Readiness?

Skills that share tags, products or a category with Omh Executor Runtime Readiness: Homelab Network Readiness (affaan-m/ECC, 275k stars), PR Ready (remotion-dev/remotion, 62k stars), AI Ready (github/awesome-copilot, 40k stars) and PR Review Readiness (pytorch/pytorch, 104k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Omh Executor Runtime Readiness?

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.