existential-birds/beagle/agent-architecture-analysis

Claude Code and agent skill by existential-birds/beagle

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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-analysis

SKILL.md

12-Factor Agents Compliance Analysis

Reference: 12-Factor Agents

Input Parameters

ParameterDescriptionRequired
docs_pathPath to documentation directory (for existing analyses)Optional
codebase_pathRoot path of the codebase to analyzeRequired

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.

#FactorFocus
1Natural Language to Tool CallsSchema-validated structured outputs from LLM
2Own Your PromptsPrompts as first-class, versioned, templated code
3Own Your Context WindowCustom formatting of history/state/tool results
4Tools Are Structured OutputsValidated JSON triggers deterministic code
5Unify Execution StateSingle state object merging execution + business state
6Launch/Pause/ResumeAPIs to launch, pause anywhere, resume
7Contact Humans with ToolsHuman contact as a structured tool call
8Own Your Control FlowCustom routing/retries, not framework defaults
9Compact Errors into ContextErrors fed back for self-healing + escalation
10Small, Focused AgentsNarrow responsibility, 3-10 steps each
11Trigger from AnywhereCLI/REST/WebSocket/chat/webhook entry points
12Stateless ReducerPure (state, input) -> (state, output) agents
13Pre-fetch ContextFetch 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
markdown
| Factor | Status | Notes |
|--------|--------|-------|
| 1. Natural Language -> Tool Calls | **Strong/Partial/Weak** | [Key finding] |
| 2. Own Your Prompts | **Strong/Partial/Weak** | [Key finding] |
| ... | ... | ... |
| 13. Pre-fetch Context | **Strong/Partial/Weak** | [Key finding] |
**Overall**: X Strong, Y Partial, Z Weak
Per-Factor Analysis

For each factor, provide:

  1. Current Implementation
  • Evidence with file:line references
  • Code snippets showing patterns
  1. Compliance Level
  • Strong/Partial/Weak with justification
  1. Gaps
  • What's missing vs. 12-Factor ideal
  1. Recommendations
  • Actionable improvements with code examples

Analysis Workflow

  1. Initial Scan
  • Run search patterns for all factors
  • Identify key files for each factor
  • Note any existing compliance documentation
  1. Deep Dive (per factor)
  • Read identified files
  • Evaluate against compliance criteria
  • Document evidence with file paths
  1. Gap Analysis
  • Compare current vs. 12-Factor ideal
  • Identify anti-patterns present
  • Prioritize by impact
  1. Recommendations
  • Provide actionable improvements
  • Include before/after code examples
  • Reference roadmap if exists
  1. 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.

  1. 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.
  2. 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).
  3. 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

ScoreMeaningAction
StrongFully implements principleMaintain, minor optimizations
PartialSome implementation, significant gapsPlanned improvements
WeakMinimal or no implementationHigh 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

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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