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Agent Check

Organization
claude-world
agent-check

Validate custom agent file format and structure. Use after creating or editing an agent, before committing agent changes, or when an agent fails to load.

Overview

Publisherclaude-world
Repositorydirector-mode-lite
Skill nameagent-check
Stars
80
Forks
10
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by claude-world on GitHub. Read the source before you install it.

Installation

Install the Agent Check 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.
    https://github.com/claude-world/director-mode-lite/tree/main/skills/agent-check
  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/claude-world/director-mode-lite.git /tmp/director-mode-lite
mkdir -p .claude/skills
cp -r /tmp/director-mode-lite/skills/agent-check .claude/skills/agent-check
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Check 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 Agent Check 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 Agent Check 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.

Agent File Validator

Validate agent files in .claude/agents/ for correct format against the official Claude Code spec (plus Director Mode conventions).


Validation Target

  • With argument: validate specific file
  • Without: validate all .claude/agents/*.md

Required Frontmatter

yaml
---
name: agent-name          # Required: lowercase, hyphenated, 3-50 chars
description: >            # Required: 10-5000 chars, include triggering conditions + <example> blocks
  Use this agent when [conditions]. Examples:
  <example>
  Context: [situation]
  user: "[request]"
  assistant: "[response using this agent]"
  </example>
color: cyan               # Required by Director Mode convention (CI-enforced); OPTIONAL per official spec
model: sonnet             # Required by Director Mode convention (CI-enforced); OPTIONAL per official spec.
                          #   Valid: fable, opus, sonnet, haiku, inherit, default, best, sonnet[1m], opus[1m]
                          #   (or a full model ID). inherit is the recommended default. NOT opusplan.
effort: medium            # Optional: low, medium, high, xhigh, max
tools:                    # Optional: YAML list (omit = all tools available)
  - Read
  - Write
  - Grep
disallowedTools:          # Optional: explicit tool blocking
  - NotebookEdit
maxTurns: 20              # Optional: max agentic turns (positive integer)
skills:                    # Optional: preloaded skill names (list, at most 32)
  - linked-skill
memory: project            # Optional: one of user, project, local
background: false          # Optional: true keeps the agent in the background (boolean)
isolation: worktree        # Optional: run the agent in an isolated git worktree
omitClaudeMd: false        # Optional (2.1.271+): true starts without CLAUDE.md files
autoCompactWindow: 200000  # Optional (2.1.296+): integer, 100000-1000000
---

Valid Tools

Read, Write, Edit, Bash, Grep, Glob, Agent (Task = legacy alias),
Skill, WebFetch, WebSearch, TodoWrite, NotebookEdit, AskUserQuestion
(TodoWrite is only offered on older models unless CLAUDE_CODE_ENABLE_TODO_TOOLS=1;
list an MCP server as mcp__<whole server name>__*)

Valid Colors

red, blue, green, yellow, purple, orange, pink, cyan

Valid Models

sonnet, opus, haiku, fable, inherit, sonnet[1m], opus[1m], or a full model ID
(claude-opus-5-5). inherit recommended. Not default, best, or opusplan (/model values).

Ignored for plugin subagents (WARN if present)

hooks           # Honored in .claude/agents/; ignored when loaded from a plugin
mcpServers      # Honored in .claude/agents/; ignored when loaded from a plugin
permissionMode  # Honored in .claude/agents/; ignored when loaded from a plugin
initialPrompt   # Main-session agents only; ignored when loaded from a plugin

Director Mode ships its agents as a plugin too, so its catalog omits them. forkContext is not an official field: flag it as unknown.


Validation Checklist

Required Fields

  • name exists (lowercase, hyphenated; official limit 256 chars, no :, no leading -)
  • description exists (10-5000 chars, recommend 200-1000 with <example> blocks)
  • color is set (valid color name) — required by Director Mode convention, optional per spec
  • model is set (valid value below) — required by Director Mode convention, optional per spec

Optional Fields (official)

  • tools are valid tool names, YAML list format (omit = all tools available)
  • disallowedTools are valid tool names
  • effort is one of: low, medium, high, xhigh, max
  • maxTurns is a positive integer
  • skills is a list of skill names (references existing skills)
  • memory is one of: user, project, local
  • background and omitClaudeMd are boolean
  • isolation is worktree
  • autoCompactWindow is an integer from 100000 to 1000000
  • experimental holds only cacheTtl: 5m | 1h
  • model is valid: sonnet, opus, haiku, fable, inherit, sonnet[1m], opus[1m], or a full model ID

Plugin-Ignored / Unknown Fields (WARN, do not silently accept)

  • Warn on hooks, mcpServers, permissionMode, initialPrompt — ignored for plugin subagents
  • Flag any other field outside the official list (for example forkContext): Claude Code ignores it silently

Content Structure

  • # Agent Name heading
  • ## Activation section
  • Process/workflow description
  • Output format definition

Format Rules

  • tools uses YAML list format (not [Read, Write] bracket array) — Director Mode / CI house rule
  • No duplicate tools in list
  • All tools are valid tool names

Output Format

markdown
## Agent Validation Report

### Files Checked
| File | Status | Issues |
|------|--------|--------|
| code-reviewer.md | OK | None |
| my-agent.md | WARN | Missing color, model |

### Summary
- Total: [N]
- Valid: [N]
- Needs fixes: [N]

Auto-Fix

  • Convert bracket array tools to YAML list format
  • Convert string skills to YAML list
  • Add missing color field (default: cyan)
  • Add missing model field (default: inherit)
  • Remove plugin-ignored fields (hooks, mcpServers, permissionMode, initialPrompt) or flag for review
  • Remove forkContext and other unknown fields
  • Replace default, best, or opusplan model values with a supported value
  • Remove invalid tools
  • Add recommended sections

Frequently asked questions

What does the Agent Check AI skill do?

Validate custom agent file format and structure. Use after creating or editing an agent, before committing agent changes, or when an agent fails to load.

Why use Agent Check on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/claude-world/director-mode-lite/tree/main/skills/agent-check. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Check?

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 Agent Check?

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

Is the Agent Check AI skill free?

Yes. It is published on GitHub by claude-world 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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