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Agent skill

Omh Agent Ops Review

by rlaope in rlaope/oh-my-hermes

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

MITAuto-check passedTesting & QA

Install Omh Agent Ops Review

skills CLI
$ npx skills add rlaope/oh-my-hermes --skill omh-agent-ops-review -a claude-code

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

GitHub CLI
$ gh skill install rlaope/oh-my-hermes omh-agent-ops-review --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-agent-ops-review .claude/skills/omh-agent-ops-review && 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-agent-ops-review
GitHub stars
3.3k
Token cost
~1.9k tokens
SKILL.md length
894 words
Files
2 (incl. references)
Skills in repo
143
Repo updated
First seen
Licence
MIT

At a glance

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

  • The user says: agent-ops-review
  • SKILL.md covers Why This Exists, Do Not Use When, Examples and Completion Checklist, plus 5 more sections
  • Calls codex
  • Agent ops review

What it does

Omh Agent Ops Review is an agent skill from rlaope/oh-my-hermes. [omh] AI agent progress for managers: help managers inspect AI-agent progress, blockers, quality gates, and throughput levers. Use when the user says: agent-ops-review, agent ops review, agent productivity, operator productivity, manager view, quality dashboard, throughput review, agent work quality.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/instrumentation-ladder.md`).

It sits in Testing & QA, covering Quality gates. 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: agent-ops-review
  • Agent ops review
  • Agent productivity
  • Operator productivity

Example prompts

  • “/omh-agent-ops-review”

What it can do on your machine

Read from SKILL.md and the folder at commit 117f67a. 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

    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 Agent Ops Review loads about 1.9k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 894 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.8k

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 117f67a, republished under its MIT licence (© rlaope). 894 words, ~1,876 tokens.

Download SKILL.mdSave it as .claude/skills/omh-agent-ops-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
omh-agent-ops-review
description
[omh] AI agent progress for managers: help managers inspect AI-agent progress, blockers, quality gates, and throughput levers. Use when the user says: agent-ops-review, agent ops review, agent productivity, operator productivity, manager view, quality dashboard, throughput review, agent work quality.

Agent Ops Review

This is a Hermes-native agent-ops-review workflow skill.

Why This Exists

agent-ops-review 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: agent-ops-review show quality, blockers, and throughput for AI-agent work.
  • Expected behavior: Produce prepare_agent_ops_review 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: agent-ops-review claim Codex finished and CI passed because a handoff exists.
  • 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 local command, managed path, config surface, and state artifact inspected are named.
  • Blocking issues, warnings, and optional surfaces are separated.
  • The next repair action is explicit and does not claim a reload or runtime observation.

Recovery Notes

  • If a managed path or config key is missing, route to setup/update repair instead of editing hidden state.
  • If a reload or plugin load was not observed, keep the diagnostic result as local health evidence only.

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 Hermes should explain AI-agent work: quality gates, progress, blockers, next actions, and throughput.

Strong routing signals: `agent-ops-review`, `agent ops review`, `agent productivity`, `operator productivity`, `manager view`, `quality dashboard`, `throughput review`, `agent work quality`, `coding progress quality`, `coding progress`, `where is codex`, `what's going on`, `status update please`, `what are you doing`, `what are you working on`, `where are we`, `今何してる`, `现在在做什么`, `qué está pasando`, `qu'est-ce qui se passe`, `was ist los`, `ai agent manager`, `관리자 입장`, `Codex 작업`, `Codex 작업이 어디까지`, `코덱스 작업`, `작업이 어디까지`, `진행됐는지`, `진행되었는지`, `처리량`, `작업 품질`, `진행상황`, `무슨일이노`, `뭔일임`, `무슨 일이야`, `뭐해`, `지금 뭐 하고 있어`, `작업상황 브리핑`, `어디까지 됐어`, `리서치 코딩 리뷰`

Catalog Metadata

Category: operator Phase: manager-review Hermes role: tracker 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.
  • For instrumentation-audit requests, grade against the tier ladder in omh-agent-ops-review/references/instrumentation-ladder.md: T0 foundation through T5 advanced, with every verdict PASS, FAIL, or PARTIAL and a file or config location attached.
  • Audit coverage in priority order - P0 (telemetry init, LLM-call capture, tool-call capture, error capture) before P1 (tokens, cost attribution, agent identity, multi-agent links) before P2 (memory/RAG spans, human-in-the-loop, evaluation runs) - and rank remediation as quick win (under an hour), medium, or larger.
  • Check the audited setup against the anti-pattern checklist in the same reference; an anti-pattern hit is a finding with its location and fix, never a style remark.

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.

Show full SKILL.md (312 more words)Show less

Required inputs:

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

Expected outputs:

  • agent-ops-review/v1 card or guidance
  • next action
  • prepared-vs-observed boundary

Artifact expectations:

  • agent-ops-review/v1 metadata-only runtime or wrapper card when recorded

Artifact contracts:

This label denotes the machine-enforcement level, not a skill quality score and not an observed evidence state.

  • contract_id: agent_operator_productivity/v1; enforcement_level: executable_validated; consumer_id: validate_agent_operator_productivity_card

Safety rules:

  • An agent ops review card is not source retrieval, executor dispatch, coding progress, implementation, review, verification, CI, merge, platform delivery, provider billing, or live runtime telemetry evidence. If Hermes is the coding owner, summarize hermes_coding_harness/v1 stage, lane owner, next action, and missing 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: agent-ops-review.

sh
omh runtime record --skill agent-ops-review --harness agent-ops-review --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

SKILL.md and 1 other file (references) in skills/omh-agent-ops-review of rlaope/oh-my-hermes.

  • SKILL.md
  • references/instrumentation-ladder.md

Open the folder on GitHubat commit 117f67a

Compare with similar skills

Omh Agent Ops Review 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 Agent Ops Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Omh Agent Ops Review this skillrlaope/oh-my-hermes3.3k—~1.9kAutomated safety check: PassMIT
Feature Plannerserendipity1004/cc-feature-implementer176—~2.4kAutomated safety check: PassNone
Ccg Workflowfengshao1227/ccg-workflow5.9k—~2.3kAutomated safety check: PassMIT
Conducty Checkpointrobertbarclayy/conducty176—~1.5kAutomated safety check: PassMIT
Mission Plannerjdforsythe/forge151—~3.5kAutomated safety check: PassMIT
Quality Gate0xNyk/lacp305—~382Automated safety check: PassMIT

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Categories

Questions about Omh Agent Ops Review

What does Omh Agent Ops Review do?

[omh] AI agent progress for managers: help managers inspect AI-agent progress, blockers, quality gates, and throughput levers. Omh Agent Ops Review is an agent skill from rlaope/oh-my-hermes. [omh] AI agent progress for managers: help managers inspect AI-agent progress, blockers, quality gates, and throughput levers.

When should I use Omh Agent Ops Review?

Omh Agent Ops Review fits situations like: the user says: agent-ops-review; agent ops review; agent productivity; operator productivity.

How do I install Omh Agent Ops Review in Claude Code?

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

How do I install Omh Agent Ops Review in Codex?

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

Can I use Omh Agent Ops Review 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-agent-ops-review -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-agent-ops-review, .gemini/skills/omh-agent-ops-review, .github/skills/omh-agent-ops-review and .opencode/skills/omh-agent-ops-review in your project.

What does Omh Agent Ops Review need to run?

Going by SKILL.md and its folder, Omh Agent Ops Review needs the command-line tools its instructions call (codex).

Does Omh Agent Ops Review 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 Agent Ops Review 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 Agent Ops Review use?

Omh Agent Ops Review 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 Agent Ops Review use?

About 1.9k tokens (SKILL.md is roughly 7.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 904 tokens, read only when the agent opens those files.

What are the alternatives to Omh Agent Ops Review?

Skills that share tags, products or a category with Omh Agent Ops Review: Feature Planner (serendipity1004/cc-feature-implementer, 176 stars), Ccg Workflow (fengshao1227/ccg-workflow, 5.9k stars), Conducty Checkpoint (robertbarclayy/conducty, 176 stars) and Mission Planner (jdforsythe/forge, 151 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Omh Agent Ops Review?

rlaope (a GitHub user) maintains it in rlaope/oh-my-hermes, which has 3,255 GitHub stars. The repository holds 143 skills in this directory. The repository was last updated on October 11, 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.