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autonomous-agent-patterns

Design patterns for building autonomous coding agents, inspired by [Cline](https://github.com/cline/cline) and [OpenAI Codex](https://github.com/openai/codex).

26

Quality

18%

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/autonomous-agent-patterns/SKILL.md

The canonical home for this skill is autonomous-agent-patterns in sickn33/agentic-awesome-skills

SKILL.md
Quality
Evals
Security

Quality

Content

14%Scale 1-3

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

This skill is a comprehensive but overly verbose reference document that reads more like a tutorial or design patterns catalog than an actionable skill for Claude. It explains many concepts Claude already knows (basic Python patterns, class inheritance, file I/O) and presents isolated code patterns without a clear workflow for assembling them. The content would benefit enormously from aggressive condensation, splitting into separate reference files, and adding a clear step-by-step workflow with validation checkpoints.

Suggestions

Reduce the main SKILL.md to a concise overview (~50-80 lines) with key decision points and patterns summarized, moving detailed code implementations to separate reference files (e.g., TOOLS.md, PERMISSIONS.md, BROWSER.md)

Remove boilerplate code that Claude can generate on its own (basic class structures, file I/O, subprocess calls) and focus on the non-obvious design decisions and constraints

Add a clear sequential workflow: 'To build an agent: 1. Define tools → 2. Implement permission layer → 3. Build agent loop → 4. Test with sandbox → 5. Validate safety constraints' with explicit checkpoints

Make code examples truly executable by including all imports, defining shared types like ToolResult upfront, and providing a minimal working example that can be run end-to-end

DimensionReasoningScore

Conciseness

Extremely verbose at ~500+ lines. Includes extensive boilerplate code for concepts Claude already understands (basic class patterns, file I/O, subprocess usage). The multi-model architecture section explains obvious model selection logic. Much of this could be condensed to key patterns and decision points rather than full implementations.

1 / 3

Actionability

Provides substantial Python code examples that are mostly executable, but many are incomplete (missing imports like `json`, `os`, `shlex`, `subprocess`, `datetime`, `requests`, undefined `ToolResult` class, undefined `html_to_markdown`, `playwright` not imported). The code serves more as illustrative patterns than copy-paste ready implementations.

2 / 3

Workflow Clarity

Despite showing an agent loop diagram, there's no clear workflow for actually building an agent. The content presents isolated patterns without sequencing them into a coherent build process. No validation checkpoints for integrating these components, and no guidance on what order to implement or how to verify each piece works before proceeding.

1 / 3

Progressive Disclosure

Monolithic wall of text with all content inline. Six major sections with extensive code blocks that could easily be split into separate reference files. No internal cross-references or navigation aids beyond the section headers. The entire document is ~500+ lines with no delegation to supplementary files.

1 / 3

Total

5

/

12

Passed

Description

22%Scale 1-3

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

The description is too vague and abstract, reading more like a topic label than an actionable skill description. It lacks concrete actions the skill performs and entirely omits trigger guidance ('Use when...'), making it difficult for Claude to know when to select this skill from a list. The references to Cline and OpenAI Codex add some distinctiveness but don't compensate for the missing specificity and completeness.

Suggestions

Add a 'Use when...' clause specifying triggers, e.g., 'Use when the user asks about building AI coding agents, agentic tool-use loops, or architectures similar to Cline or Codex.'

List specific concrete actions the skill covers, e.g., 'Guides implementation of tool-use loops, file editing strategies, sandboxed execution, error recovery, and context management for autonomous coding agents.'

Include natural trigger terms users might say, such as 'AI agent', 'agentic workflow', 'code agent architecture', 'tool loop', 'autonomous coder'.

DimensionReasoningScore

Specificity

The description mentions 'design patterns for building autonomous coding agents' but does not list any concrete actions. It references inspirations (Cline, OpenAI Codex) but doesn't specify what the skill actually does—no verbs like 'generates', 'scaffolds', 'implements' are present.

1 / 3

Completeness

The description partially addresses 'what' (design patterns for coding agents) but is vague, and there is no 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill. Per the rubric, a missing 'Use when' clause caps completeness at 2, and the weak 'what' brings it to 1.

1 / 3

Trigger Term Quality

Contains some relevant keywords like 'autonomous coding agents', 'design patterns', 'Cline', and 'OpenAI Codex' that a user might mention. However, it misses common variations like 'AI agent', 'code agent', 'agentic workflow', 'tool use loop', or 'agent architecture'.

2 / 3

Distinctiveness Conflict Risk

The mention of 'autonomous coding agents' and specific projects (Cline, OpenAI Codex) provides some distinctiveness, but 'design patterns' is broad enough to overlap with general software architecture or coding pattern skills.

2 / 3

Total

6

/

12

Passed

Validation

81%

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

Validation9 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (765 lines); consider splitting into references/ and linking

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

9

/

11

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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