autonomous-agent-patterns

Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.

Quality

82%

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Critical

Do not install without reviewing

Quality

Content

64%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a comprehensive and highly actionable skill with excellent executable code examples covering agent architecture, tool design, permissions, and browser automation. The main weaknesses are its length (could benefit from splitting into multiple files) and the lack of explicit validation/recovery workflows for the complex multi-step processes it describes.

Suggestions

Split detailed implementations (browser automation, MCP integration, context management) into separate reference files, keeping SKILL.md as a concise overview with links

Add explicit validation checkpoints and error recovery workflows, especially for the sandboxed execution and tool creation patterns

Remove the 'When to Use This Skill' section as it duplicates the frontmatter description

Dimension	Reasoning	Score
Conciseness	The skill is comprehensive but includes some unnecessary verbosity, such as the 'When to Use This Skill' section that restates the description, and some code comments that explain obvious concepts. The ASCII diagram and extensive code examples add value but could be tightened.	2 / 3
Actionability	Provides fully executable Python code examples throughout, including complete class implementations for AgentLoop, Tool schemas, EditFileTool, ApprovalManager, SandboxedExecution, and BrowserTool. Code is copy-paste ready with proper imports and error handling.	3 / 3
Workflow Clarity	The agent loop diagram and code show clear sequencing, but the skill lacks explicit validation checkpoints for risky operations. The permission system is well-defined, but there's no clear workflow for 'if validation fails, do X' patterns when building agents.	2 / 3
Progressive Disclosure	Content is well-organized with clear section headers and a logical progression from core architecture to advanced patterns. However, this is a monolithic 400+ line file that could benefit from splitting detailed implementations (browser automation, MCP integration) into separate reference files.	2 / 3
	Total	9 / 12 Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a well-crafted skill description that excels across all dimensions. It provides specific capabilities (tool integration, permission systems, browser automation, human-in-the-loop workflows), uses natural trigger terms users would actually say, and includes an explicit 'Use when...' clause with clear selection criteria. The description carves out a distinct niche for agent-building that won't conflict with general coding skills.

Dimension	Reasoning	Score
Specificity	Lists multiple specific concrete actions: 'tool integration, permission systems, browser automation, and human-in-the-loop workflows'. These are distinct, actionable capabilities rather than vague abstractions.	3 / 3
Completeness	Clearly answers both what ('Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows') and when ('Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants').	3 / 3
Trigger Term Quality	Includes natural keywords users would say: 'AI agents', 'tool APIs', 'permission systems', 'autonomous coding assistants', 'browser automation'. These cover common variations of how users might describe agent-building tasks.	3 / 3
Distinctiveness Conflict Risk	Clear niche focused on autonomous agent design patterns with distinct triggers like 'AI agents', 'tool APIs', 'permission systems', and 'autonomous coding assistants'. Unlikely to conflict with general coding or documentation skills.	3 / 3
	Total	12 / 12 Passed

Validation

90%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 10 / 11 Passed

Validation for skill structure

Criteria	Description	Result
skill_md_line_count	SKILL.md is long (762 lines); consider splitting into references/ and linking	Warning

	Total	10 / 11 Passed

Repository: duclm1x1/Dive-Ai
Commit: 20ba150

Reviewed: 5 months ago

Table of Contents

Discovery Implementation Validation

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