existential-birds/beagle/agent-architecture-analysis
Claude Code and agent skill by existential-birds/beagle
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Checking that the SKILL.md file is still in the repository.
Use when auditing an agent codebase against the 12-Factor Agents methodology, reviewing LLM-powered system architecture, or assessing agentic app compliance. Triggers on \"analyze agent architecture\", \"12-factor audit\", \"how compliant is this agent\", or \"evaluate this LLM app\". Also applies when comparing frameworks or planning agent improvements. Not for quick checklists \u2014 this performs deep per-factor codebase analysis with file-level evidence.
Install
npx vskill@latest install existential-birds/beagle/agent-architecture-analysisSKILL.md
12-Factor Agents Compliance Analysis
Reference: 12-Factor Agents
Input Parameters
| Parameter | Description | Required | |
|---|---|---|---|
docs_path | Path to documentation directory (for existing analyses) | Optional | |
codebase_path | Root path of the codebase to analyze | Required |
Analysis Framework
The full per-factor rubric — principle, search patterns, file patterns, compliance criteria (Strong/Partial/Weak), and anti-patterns for each of the 13 factors — lives in references/factors.md. During the Analysis Workflow, read the relevant factor sections there for the search patterns to run and the criteria to score against.
| # | Factor | Focus | |
|---|---|---|---|
| 1 | Natural Language to Tool Calls | Schema-validated structured outputs from LLM | |
| 2 | Own Your Prompts | Prompts as first-class, versioned, templated code | |
| 3 | Own Your Context Window | Custom formatting of history/state/tool results | |
| 4 | Tools Are Structured Outputs | Validated JSON triggers deterministic code | |
| 5 | Unify Execution State | Single state object merging execution + business state | |
| 6 | Launch/Pause/Resume | APIs to launch, pause anywhere, resume | |
| 7 | Contact Humans with Tools | Human contact as a structured tool call | |
| 8 | Own Your Control Flow | Custom routing/retries, not framework defaults | |
| 9 | Compact Errors into Context | Errors fed back for self-healing + escalation | |
| 10 | Small, Focused Agents | Narrow responsibility, 3-10 steps each | |
| 11 | Trigger from Anywhere | CLI/REST/WebSocket/chat/webhook entry points | |
| 12 | Stateless Reducer | Pure (state, input) -> (state, output) agents | |
| 13 | Pre-fetch Context | Fetch likely-needed data upfront |
See references/factors.md for the complete rubric for every factor above.
Output Format
Gate order: Do not assign Strong / Partial / Weak or treat recommendations as observed facts until Hard gates (after Analysis Workflow) are satisfied for the factors in scope.
Executive Summary Table
Per-Factor Analysis
For each factor, provide:
- Current Implementation
- Evidence with file:line references
- Code snippets showing patterns
- Compliance Level
- Strong/Partial/Weak with justification
- Gaps
- What's missing vs. 12-Factor ideal
- Recommendations
- Actionable improvements with code examples
Analysis Workflow
- Initial Scan
- Run search patterns for all factors
- Identify key files for each factor
- Note any existing compliance documentation
- Deep Dive (per factor)
- Read identified files
- Evaluate against compliance criteria
- Document evidence with file paths
- Gap Analysis
- Compare current vs. 12-Factor ideal
- Identify anti-patterns present
- Prioritize by impact
- Recommendations
- Provide actionable improvements
- Include before/after code examples
- Reference roadmap if exists
- Summary
- Compile executive summary table
- Highlight strengths and critical gaps
- Suggest priority order for improvements
Hard gates (evidence before scores)
Run these in order. Do not skip ahead: each Pass is an objective condition you can check (paths on disk, citations present), not internal certainty.
- Scan gate — After the initial scan (workflow step 1), Pass: for every factor (1–13) you have either (a) ≥1 repo-relative path or glob hit to inspect, or (b) a one-line note with rationale (e.g. search command/output, or “no matches — codebase may omit this concern”). Empty hand-waving (“looks fine”) fails this gate.
- Evidence gate (per factor) — Before writing Strong / Partial / Weak for that factor, Pass: “Current Implementation” includes ≥1 citation with file path plus line range or short quoted snippet from
codebase_path, or an explicit no evidence located statement after targeted reads. If evidence is missing after search, default that factor to Weak unless the criterion is clearly N/A (say why). - Synthesis gate — Executive summary table and per-factor analysis sections, Pass: only after gates 1–2 are satisfied for the factors in scope. Recommendations may name new files or patterns only as proposals; they must not be presented as observed facts without matching citations from step 2.
Quick Reference: Compliance Scoring
| Score | Meaning | Action | |
|---|---|---|---|
| Strong | Fully implements principle | Maintain, minor optimizations | |
| Partial | Some implementation, significant gaps | Planned improvements | |
| Weak | Minimal or no implementation | High priority for roadmap |
When to Use This Skill
- Evaluating new LLM-powered systems
- Reviewing agent architecture decisions
- Auditing production agentic applications
- Planning improvements to existing agents
- Comparing frameworks or implementations
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingplugins/beagle-analysis/skills/agent-architecture-analysis/SKILL.md
Popularity
- Repository stars
- 78
- Repository forks
- 9
- 7-day trend score
- 22
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 18 Mar 2026, 7 months ago.
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