Observal

OrganizationPopular

Observal

observal

Operates the Observal CLI for authentication, configuration, setup diagnosis, teamspaces, inbox work, scans, update checks, and authenticated API access. Use when the user wants to log in, configure Observal, inspect local harness setup, manage a teamspace or invitation, process inbox items, check installed registry items, or call an endpoint without a dedicated command.

Overview

Publisher	Observal
Repository	`Observal`
Skill name	`observal`
Stars	2.4K
Forks	472
Bundled files	3
License	Apache-2.0
Links	Skill source Repository Homepage

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.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Observal on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/Observal/Observal.git /tmp/Observal
mkdir -p .claude/skills
cp -r /tmp/Observal/observal_cli/skills/observal .claude/skills/observal

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Observal 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 Observal 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 Observal 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.

Operating Observal

Use this skill for core account, setup, local inventory, inbox, and teamspace work. Use the specialized observal-agents, observal-registry, observal-ops, observal-admin, or observal-advanced skill when its description matches more closely.

Execution contract

Execute commands in the shell. Do not merely print commands for the user to run.
Set a 60 second timeout for normal CLI calls. Increase it only for an operation documented as long-running.
Use machine output by default: add --output json whenever supported. Dedicated lists return items, total, page, and page_size; streams emit JSON Lines.
Run the relevant --help command before acting when a path or flag is uncertain. Never invent flags.
Supply every required input and confirmation flag so agent workflows never wait for a prompt.
Reuse returned UUIDs and qualified_name values. Never scrape table rows or assume a bare name is unique.
After a mutation, verify the returned state or run the smallest read command that confirms the requested change.
Treat tokens, invitation URLs, credentials, generated passwords, headers, and environment values as secrets. Do not echo them.
Fail openly. Do not silently switch to direct API calls, database access, or local file writes.
Automatic transient retries apply only to reads. After an uncertain mutation failure, verify state before retrying.
Public registry reads need no login when the server setting deployment.public_registry_enabled is enabled; it is disabled by default on self-hosted deployments. Listing, showing, pulling, installing, and rendering approved public content use https://public.observal.io by default. Publishing, private resources, telemetry, feedback, and account operations still require observal auth login.

Route the task

Task	Read
Login, account, CLI config, scan, doctor, outdated, inbox	Core workflows
Teamspaces, visibility review, members, requests, invitations	Teamspace workflows
Exact command inventory or authenticated API escape hatch	Generated command reference
Create, edit, release, or pull an Agent	Use `observal-agents`
Search, submit, install, or version a component	Use `observal-registry`
Traces, telemetry, logs, ratings, or insight reports	Use `observal-ops`
Reviews, users, settings, security, or server administration	Use `observal-admin`
Reconciliation, CLI version recovery, or explicit offline fallback	Use `observal-advanced`

Read the selected reference completely before executing its workflow.

Default loop

Identify the canonical command path from the reference or local help.
Read current state in JSON when the operation depends on existing IDs, roles, versions, or status.
Execute one noninteractive mutation with the canonical identifier.
Verify the result. A zero exit status alone does not prove the requested state transition occurred.
Report the outcome, important identifiers, warnings, and any required next action. Include the exact command only when useful for reproduction or requested by the user.

Error decisions

Result	Action
Authentication error	Run `observal auth whoami --output json`; log in only if needed
Permission denied	Report the required role or ownership; do not retry with broader authority
Not found	Re-list in JSON and retry with the returned UUID or `qualified_name`
Conflict	Read the server message and current state; choose update, version bump, or no-op deliberately
Validation error	Correct the named input; do not repeat the same request
Unavailable or not configured	Stop and use `observal-advanced` only if the user still wants an explicit fallback

Do not report success when JSON contains a pending review, warning, failed setup command, or partial result that still requires action.

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 Observal AI skill do?

Why use Observal on TypingMind?

Because you install it once and use it with any model. Observal 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 Observal in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Observal/Observal/tree/main/observal_cli/skills/observal. 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 Observal?

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 Observal?

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

Is the Observal AI skill free?

Yes. It is published on GitHub by Observal under the Apache-2.0 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Operating Observal

Execution contract

Route the task

Default loop

Error decisions

Bundled files

Frequently asked questions

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