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Agent skill

Observal Agents

by Observal in Observal/Observal

Creates, authors, validates, publishes, updates, versions, pulls, archives, restores, transfers, and manages co-authors for Observal Agents.

Apache-2.0Auto-check passed

Install Observal Agents

skills CLI
$ npx skills add Observal/Observal --skill observal-agents -a claude-code

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

GitHub CLI
$ gh skill install Observal/Observal observal-agents --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/Observal/Observal.git skills-src && mkdir -p .claude/skills && cp -r skills-src/observal_cli/skills/observal-agents .claude/skills/observal-agents && 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
observal-agents
GitHub stars
4.3k
Token cost
~753 tokens
SKILL.md length
343 words
Files
2 (incl. references)
Skills in repo
7
Repo updated
First seen
Licence
Apache-2.0

At a glance

Creates, authors, validates, publishes, updates, versions, pulls, archives, restores, transfers, and manages co-authors for Observal Agents.

  • Works in 9 steps: Execute commands with a 60 second timeout. → Use machine output by default: add… → Use --help before acting when a path or… → …
  • The user wants to build
  • SKILL.md covers Execution contract, Choose the workflow, State rules and Completion
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Observal Agents is an agent skill from Observal/Observal. Creates, authors, validates, publishes, updates, versions, pulls, archives, restores, transfers, and manages co-authors for Observal Agents. Use when the user wants to build or install an Agent, change an Agent definition, publish a draft, release a version, or manage Agent ownership.

Its SKILL.md is about 750 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/agent-workflows.md`).

It works with Model Context Protocol. The repository describes itself as: Observal is self-hosted registry for your coding agent extensions with a built in insight engine. Setup Observal, define the scope and share your Skills, MCPs and Agents with… The licence is Apache-2.0.

When your agent uses it

  • The user wants to build
  • Install an Agent
  • Change an Agent definition
  • Publish a draft

Example prompts

  • “/observal-agents”

Workflow steps

9 steps, taken from the first numbered list in SKILL.md.

  1. Execute commands with a 60 second timeout.
  2. Use machine output by default: add --output json whenever supported. Parse list results from items and pagination fields.
  3. Use --help before acting when a path or flag is uncertain.
  4. Keep workflows noninteractive. Supply required fields, --no-prompt, and confirmation flags.
  5. Use UUIDs or qualified_name values returned by JSON. Never automate with row numbers.
  6. Prefer native agent init, agent add, and agent build over hand-written scaffolding or custom validation.
  7. Verify every publish, release, pull, ownership, and lifecycle mutation.
  8. Never print MCP environment values, headers, tokens, or other secrets.
  9. Mutations are sent once. After an uncertain transport failure, read Agent state before retrying.

What it can do on your machine

Read from SKILL.md and the folder at commit 3bc173c. 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.

    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

Observal Agents loads about 753 tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 343 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~753
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 Observal/Observal at commit 3bc173c, republished under its Apache-2.0 licence (© Observal). 343 words, ~753 tokens.

Download SKILL.mdSave it as .claude/skills/observal-agents/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
observal-agents
description
Creates, authors, validates, publishes, updates, versions, pulls, archives, restores, transfers, and manages co-authors for Observal Agents. Use when the user wants to build or install an Agent, change an Agent definition, publish a draft, release a version, or manage Agent ownership.
<!-- SPDX-FileCopyrightText
2026 Shaan Narendran <shaannaren06@gmail.com> -->
command
observal
version
2.3.0
owner
observal

Managing Observal Agents

Execution contract

  1. Execute commands with a 60 second timeout.
  2. Use machine output by default: add --output json whenever supported. Parse list results from items and pagination fields.
  3. Use --help before acting when a path or flag is uncertain.
  4. Keep workflows noninteractive. Supply required fields, --no-prompt, and confirmation flags.
  5. Use UUIDs or qualified_name values returned by JSON. Never automate with row numbers.
  6. Prefer native agent init, agent add, and agent build over hand-written scaffolding or custom validation.
  7. Verify every publish, release, pull, ownership, and lifecycle mutation.
  8. Never print MCP environment values, headers, tokens, or other secrets.
  9. Mutations are sent once. After an uncertain transport failure, read Agent state before retrying.

Choose the workflow

User intentWorkflow
Find or inspect an AgentDiscover and inspect
Install an existing Agent into a harnessPull and verify
Create a simple Agent in one callDirect create
Author an Agent with components or filesInit, add, build, publish
Change the current listing without a new reviewed versionUpdate in place
Publish a reviewed patch, minor, or major versionRelease
Create many Agents from a prepared fileBulk create
Archive, restore, transfer, or manage co-authorsLifecycle and collaboration

Read Agent workflows completely before executing the selected workflow.

State rules

  • create without complete flags starts a wizard. Agents must provide all required inputs or use a file.
  • publish --update changes the current Agent in place.
  • release --bump creates a reviewed version. Do not use update when the user asked for a release.
  • Public teamspace publication may remain private with a pending visibility or listing review. Report the actual returned status.
  • Pull success requires checking files, warnings, and setup_commands. Partial setup is not success.
  • A 409 is a decision point, not a generic retry signal. Read current state before choosing update or release.

Completion

Report the canonical Agent identity, resulting status and version, files changed for local operations, warnings, and the smallest next action. Verify with agent show, agent versions, or scan when the mutation response is not sufficient.

© Observal, Apache-2.0. 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 observal_cli/skills/observal-agents of Observal/Observal.

  • SKILL.md
  • references/agent-workflows.md

Open the folder on GitHubat commit 3bc173c

Compare with similar skills

Observal Agents 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.

Observal Agents compared with similar skills
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Observal Agents this skillObserval/Observal4.3k—~753Automated safety check: PassApache-2.0
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MCP Server BuildershareAI-lab/learn-claude-code78k5 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
Figma use_figma Plugin API Ruleswarpdotdev/warp65k4 repos~4.4kAutomated safety check: PassAGPL-3.0
Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills8.4k6 repos~3.2kAutomated safety check: NotesApache-2.0

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Works with

Questions about Observal Agents

What does Observal Agents do?

Creates, authors, validates, publishes, updates, versions, pulls, archives, restores, transfers, and manages co-authors for Observal Agents. Observal Agents is an agent skill from Observal/Observal. Creates, authors, validates, publishes, updates, versions, pulls, archives, restores, transfers, and manages co-authors for Observal Agents.

When should I use Observal Agents?

Observal Agents fits situations like: the user wants to build; install an Agent; change an Agent definition; publish a draft.

How do I install Observal Agents in Claude Code?

Run `npx skills add Observal/Observal --skill observal-agents -a claude-code`. Or copy the skill folder (observal_cli/skills/observal-agents in Observal/Observal) into .claude/skills/observal-agents in your project. Claude Code loads it when a task matches its description.

How do I install Observal Agents in Codex?

Run `npx skills add Observal/Observal --skill observal-agents -a codex`. Or copy the skill folder (observal_cli/skills/observal-agents in Observal/Observal) into .agents/skills/observal-agents in your project. Codex loads it when a task matches its description.

Can I use Observal Agents 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 Observal/Observal --skill observal-agents -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/observal-agents, .gemini/skills/observal-agents, .github/skills/observal-agents and .opencode/skills/observal-agents in your project.

What does Observal Agents need to run?

SKILL.md names no scripts, command-line tools or credentials: Observal Agents is instructions for the agent only.

Does Observal Agents 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 Observal Agents 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 Observal Agents use?

Observal Agents is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Observal Agents use?

About 753 tokens (SKILL.md is roughly 3k 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 2.1k tokens, read only when the agent opens those files.

What are the alternatives to Observal Agents?

Skills that share tags, products or a category with Observal Agents: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Observal Agents?

Observal (a GitHub organization) maintains it in Observal/Observal, which has 4,261 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 8, 2026.

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