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Omh External Connector Readiness

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rlaope
omh-external-connector-readiness

[omh] External connector readiness - assess whether a named plugin, connector, API, data provider, or multimodal route is safe, affordable, fresh, and observable; use executor-runtime-readiness for coding-owner choice and toolbelt-readiness for missing capability inventory. Use when the user says: external-connector-readiness, external connector readiness, connector readiness matrix, plugin readiness matrix, provider readiness, api readiness, connector adoption, external plugin adoption.

Overview

Publisherrlaope
Repositoryoh-my-hermes
Skill nameomh-external-connector-readiness
Stars
2.7K
Forks
194
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by rlaope on GitHub. Read the source before you install it.

Installation

Install the Omh External Connector Readiness AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git /tmp/oh-my-hermes
mkdir -p .claude/skills
cp -r /tmp/oh-my-hermes/agent-skills/omh-external-connector-readiness .claude/skills/omh-external-connector-readiness
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Omh External Connector Readiness in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Omh External Connector Readiness on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Omh External Connector Readiness is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

External Connector Readiness

This is an OMH external-connector-readiness workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).

Why This Exists

external-connector-readiness exists so Hermes users can ask for this workflow in chat and receive a structured, evidence-bounded OMH operating surface instead of ad hoc narration.

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: external-connector-readiness compare weather plugin and wxtrain candidates with cost, freshness, multimodal evidence, and fallback routes before adoption.
  • Expected behavior: Produce prepare_external_connector_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: external-connector-readiness silently enable a paid connector and claim weather, SQL, and screenshot results without observed provider evidence.
  • 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

  • Candidate connector, target domain, read/write scope, modality needs, provider owner, fallback workflow, and stop condition are explicit.
  • Cost, quota, credential, permission, live-data freshness, multimodal capture, safety, and compliance boundaries are marked ready, missing, risky, or not_observed.
  • Route live read-only lookups to live-info-operator, external writes to connector-operator, datasets/SQL to data-analysis, and missing tools to toolbelt-readiness before claiming results.
  • Provider responses, screenshots, audio/video/file captures, query outputs, message ids, and external mutations are reported only from observed trial evidence.
  • For a memory provider, disabling it, removing its local cache, deleting its remote memory, deleting the account, and switching away are reported as distinct operations with distinct postconditions.
  • Unknown deletion, isolation, or write semantics block automatic writes and irreversible adoption instead of resolving to an OMH or Hermes default.
  • For a realtime voice connector, keep turn integrity, latency, fallback, interruption, and spoken tool safety separate; report unsupported or unobserved dimensions as hold or block rather than as a pass.

Recovery Notes

  • If the candidate list is unknown, route to skill-scout or source-finder before readiness scoring.
  • If credentials, cost authority, or connector installation is missing, keep readiness blocked and route setup to toolbelt-readiness.
  • If a specific provider action is already selected, route read-only live data to live-info-operator or write/mutation tasks to connector-operator.
  • If a memory-provider lifecycle field is unknown, ask the operator to declare it or supply an observed trial receipt; hand the result to memory-sync as not_omh_reviewed context rather than importing it into OMH review.
  • If a realtime voice connector has no supplied realtime_voice_trial_receipt/v1, route the setup and the trial run to the host, connector, or operator that owns the microphone, call, or room, then consume only the returned receipt.

Use When

Use before adopting, enabling, or routing an external plugin/connector/API when Hermes must compare capability, auth, cost, modality, freshness, safety, fallback, and observable trial evidence. Use it for an optional memory provider too, where enabling, switching, pausing, or removing it also needs identity scope, automatic hooks, retention, deletion, export, and switching answered before adoption.

Strong routing signals: `external-connector-readiness`, `external connector readiness`, `connector readiness matrix`, `plugin readiness matrix`, `provider readiness`, `api readiness`, `connector adoption`, `external plugin adoption`, `weather plugin readiness`, `weather connector readiness`, `wxtrain readiness`, `onequery read-only sql`, `read-only sql connector`, `sql connector readiness`, `nextcloud connector`, `microsoft workspace connector`, `microsoft graph connector`, `chainlink connector`, `solana connector`, `monero gateway`, `xmr gateway`, `private crypto transaction`, `private cryptocurrency connector`, `crypto transaction plugin`, `blockchain gateway`, `composio connector`, `composio universal cli`, `universal cli connector`, `universal cli skill adoption`, `skill connector adoption`, `connector auth risk`, `connector cost auth risk`, `agentchat connector`, `peer-to-peer agent messaging connector`, `websocket identity connector`, `websocket connector trial`, `clawsocial connector`, `social discovery connector`, `windy pairing`, `windymail mailbox connector`, `matrix chat identity`, `antigravity cli connector`, `agy cli bridge`, `agy bridge connector`, `macos keychain oauth connector`, `oracle oci connector`, `oracle genai connector`, `miniverse bridge`, `crustocean platform connector`, `cost-aware connector`, `multimodal connector`, `multimodal routing`, `screenshot connector`, `audio connector`, `video connector`, `video generation`, `generate a video`, `product demo video`, `text to video`, `home assistant connector`, `home assistant integration`, `home assistant device control`, `home assistant smart home`, `smart home connector`, `device control connector`, `plugin auto-routing`, `connector auto-routing`, `external tool trial`, `memory provider readiness`, `memory provider posture`, `memory provider lifecycle`, `memory provider adoption`, `memory provider retention`, `memory provider portability`, `memory provider sync failure`, `compare memory providers`, `memory provider comparison`, `memory provider`, `memory provider trial`, `memory provider benchmark`, `memory provider migration`, `memory provider rollback`, `switch memory provider`, `switching memory providers`, `disable memory provider`, `delete provider memory`, `export memory provider data`, `realtime voice connector`, `real-time voice connector`, `realtime voice readiness`, `realtime voice trial`, `realtime voice stack`, `voice connector readiness`, `voice connector trial`, `voice gateway readiness`, `voice gateway trial`, `voice agent connector readiness`, `voice trial receipt`, `voice turn integrity`, `voice turn receipt`, `barge-in behavior`, `barge-in handling`, `voice tool safety`, `spoken tool safety`, `커넥터 준비도`, `외부 커넥터 준비`, `외부 플러그인 채택`, `플러그인 준비도`, `커넥터 도입`, `플러그인 도입`, `비용 인증 리스크`, `인증 리스크`, `도입 비용`, `비용 기준 커넥터`, `자동 라우팅`, `멀티모달 커넥터`, `멀티모달 라우팅`, `영상 생성`, `제품 데모 영상`, `홈 어시스턴트 커넥터`, `홈 어시스턴트 연동`, `홈 어시스턴트 기기 제어`, `홈 어시스턴트 스마트홈`, `홈어시스턴트 커넥터`, `홈어시스턴트 연동`, `홈어시스턴트 기기 제어`, `홈어시스턴트 스마트홈`, `스마트홈 커넥터`

Catalog Metadata

Category: connector Phase: connector-readiness Quality tier: workflow-surface-gated Reasoning demand: standard

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.
  • Trial two or more memory providers on one corpus and one query set, never on each provider's own sample — load references/memory-provider-trial.md for the corpus, query, and reversibility rules.

Required inputs:

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

Expected outputs:

  • external_connector_readiness_card/v1
  • connector_capability_matrix/v1
  • auth_cost_boundary/v1
  • live_data_freshness_policy/v1 when live data is required
  • multimodal_routing_policy/v1 when screenshots, audio, video, or files are involved
  • fallback_route_policy/v1
  • connector_trial_manifest/v1 when observed
  • memory_provider_posture/v1 when the candidate is an optional memory provider
  • memory_provider_trial_comparison/v1 when two or more memory providers are trialled on one corpus
  • realtime_voice_trial_receipt/v1 when a supplied realtime voice trial is observed
  • realtime_voice_readiness/v1 verdict per voice dimension when a receipt is supplied
  • next action
  • prepared-vs-observed boundary

Artifact expectations:

  • external_connector_readiness_card/v1 metadata-only wrapper card when prepared
  • connector_capability_matrix/v1 with candidate, domain, read/write shape, modality, owner workflow, and fallback route
  • auth_cost_boundary/v1 separating missing connector, missing credentials, paid/provider cost risk, quota, and user authority
  • live_data_freshness_policy/v1 for requested recency, provider timestamp, stale-result handling, and source-quality thresholds
  • multimodal_routing_policy/v1 for screenshot, audio, video, file, OCR, or visual QA evidence routes when needed
  • connector_trial_manifest/v1 only when a provider response, capture id, query transcript, message id, or tool-call observation is recorded
  • memory_provider_posture/v1 for an optional memory provider, covering identity scope, automatic hooks, storage boundary, synchronization, failure, retention, deletion, export/import, backup/restore, and portability, each marked ready, missing, risky, not_observed, or unknown
  • memory_provider_trial_comparison/v1 built on the connector_trial_manifest/v1 pattern: one corpus and one query set per candidate, retrieval quality, latency, and cost each reported per provider or marked not_observed, plus the migration route and the rollback that was exercised rather than asserted
  • realtime_voice_trial_receipt/v1 only when an authorized host, connector, or operator supplies the observed trial: connector build identity, requested versus observed stack, per-turn milestones on one declared timing reference, turn-integrity states, fallback path, interruption behavior, and spoken tool decisions
  • realtime_voice_readiness/v1 with a pass, hold, or block state and reasons for turn integrity, latency, fallback, interruption, and tool safety, plus the separated connector-configured, synthetic-trial, actual-environment-trial, voice-turn, tool-action, and session-completed states

Safety rules:

  • An external connector readiness card is not connector installation, credential validation, provider access, API invocation, multimodal capture, live-data retrieval, external mutation, cost authorization, or successful trial evidence unless observed connector-trial evidence records it.
  • Do not claim connector, gateway, runtime, file generation, memory mutation, or host automation evidence from prepared guidance.
  • A hook registration or lifecycle callback is an observation point only; it never grants write or synchronization authority.
  • Documentation and open package code declare a contract; neither establishes a hosted service's storage, retention, cost, or deletion postcondition.
  • A memory provider stays optional: an unknown or unavailable provider never becomes a required default and never makes OMH memory unusable.
  • A realtime voice verdict comes only from a supplied realtime_voice_trial_receipt/v1. OMH opens no microphone, call, room, socket, or provider session, installs no connector, downloads no voice model, and authorizes no tool from a receipt.
  • A synthetic voice fixture never proves the intended room, microphone, network, or telephony path, and a fallback path succeeding is never success for the requested voice stack, provider, or model.
  • Generic connector, voice-input, and media-input records are not realtime voice readiness; a turn that lost its onset, split, merged, dispatched twice, truncated, or replayed after audible output blocks the verdict rather than reporting latency.
  • A memory-provider trial reports retrieval quality, latency, and cost per candidate only from host-supplied observation; a dimension nobody measured is not_observed, never a default or a zero, and a corpus is never copied into the record.
  • A rollback is proven by exercising it during the trial and recording what came back; a documented rollback path is prepared, not reversible.

Runtime Evidence

Use the current host's own tools and subagent/task mechanism when available; otherwise run the same lanes sequentially or name the unavailable capability. A prepared plan, handoff, checklist, or skill installation is not execution, review, CI, merge-readiness, or merge evidence. Report actual tool results or not_observed / not_available; never invent dispatch or host accounting. Treat supplied context as advisory, not proof of hidden memory reads or writes. State scope, constraints, verification, and the stop condition before work. Supporting paths are relative to this skill directory; sibling skill paths are relative to its parent. Resolve them from the host-provided skill base directory ({baseDir} on hosts that provide it), never a hardcoded install location. A named workflow not installed here is unavailable, not permission to emulate its host-specific capabilities. Verify through the real surface before done.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Omh External Connector Readiness AI skill do?

[omh] External connector readiness - assess whether a named plugin, connector, API, data provider, or multimodal route is safe, affordable, fresh, and observable; use executor-runtime-readiness for coding-owner choice and toolbelt-readiness for missing capability inventory. Use when the user says: external-connector-readiness, external connector readiness, connector readiness matrix, plugin readiness matrix, provider readiness, api readiness, connector adoption, external plugin adoption.

Why use Omh External Connector Readiness on TypingMind?

Because you install it once and use it with any model. Omh External Connector Readiness is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Omh External Connector Readiness in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rlaope/oh-my-hermes/tree/main/agent-skills/omh-external-connector-readiness. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Omh External Connector Readiness?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Omh External Connector Readiness?

As many as you like. As long as a model supports skills, you can use Omh External Connector Readiness with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Omh External Connector Readiness AI skill free?

Yes. It is published on GitHub by rlaope under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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