12-Factor Agents Compliance Analysis
SkillAI & modelsUse 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.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the 12-Factor Agents Compliance Analysis skill
What this skill tells your AI
The instructions your AI receives, as published by existential-birds/beagle in plugins/beagle-analysis/skills/agent-architecture-analysis/SKILL.md and read by ahel’s review.
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
| 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:
-
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
Signals
- GitHub stars
- 81
- Forks
- 8
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
agent-architecture-analysis- Source
- github.com/existential-birds/beagle