Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/daffy0208/ai-dev-standards/agent-typesgit clone --depth 1 https://github.com/daffy0208/ai-dev-standardsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/daffy0208/ai-dev-standards/agent-types)<a href="https://agentmods.dev/agents/daffy0208/ai-dev-standards/agent-types"><img src="https://agentmods.dev/badge/agents/daffy0208/ai-dev-standards/agent-types.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.03597 |
| Opus 5 | $0.00000 | $0.01799 |
| Sonnet 5 | $0.00000 | $0.00719 |
| Haiku 4.5 | $0.00000 | $0.00360 |
Grade A, and why
agent-types scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 711 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Types: Complete Taxonomy
Comprehensive classification of all agent types available in Claude Code and the ai-dev-standards repository.
Overview
Total Agent Types: 10
- 4 Claude Code Built-in Agents - Native CLI agents
- 6 Skill-Based Agents - Skills that function as autonomous agents
1. Claude Code Built-in Agents (4)
1.1 General-Purpose Agent
Type: Default, Multi-Purpose Status: Active Invocation: Default mode
Purpose: Comprehensive development agent for most tasks including code search, analysis, editing, and multi-step research.
Core Capabilities:
- Multi-file analysis and editing
- Complex codebase exploration
- System architecture understanding
- Multi-step research tasks
- File operations (read, write, edit)
- Pattern recognition and matching
Best For:
- Bug investigation and fixes
- Feature implementation
- Refactoring
- Code review preparation
- Ongoing development work
Performance:
- Speed: Variable (depends on task)
- Depth: High
- Memory: Handles large files efficiently
Integration:
- Can invoke any of 59 skills
- Access to 36 MCP servers
- Works with all tools and components
Documentation: general-purpose.md
1.2 Explore Agent
Type: Codebase Discovery Status: Active Invocation: Via explore mode
Purpose: Fast, configurable codebase exploration with three thoroughness levels.
Modes:
- Quick - Fast overview (seconds to minutes)
- Medium - Balanced exploration (5-15 minutes) [Default]
- Very Thorough - Deep analysis (30+ minutes)
Core Capabilities:
- Initial repository assessment
- Architecture understanding
- Pattern discovery
- Rapid familiarization
- Dependency mapping
Best For:
- New codebase onboarding
- Pre-refactoring analysis
- Security audit preparation
- Architecture documentation
- Migration planning
Performance:
- Speed: Configurable (Quick/Medium/Very Thorough)
- Depth: Configurable by mode
- Memory: Scales with thoroughness level
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 711 lines · 0 tokens per session scan A c87346e45f75
agent-types is an agent published in the GitHub repository daffy0208/ai-dev-standards (36 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,597 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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