Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/oliver-kriska/claude-elixir-phoenixWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/oliver-kriska/claude-elixir-phoenix/liveview-architect)<a href="https://agentmods.dev/agents/oliver-kriska/claude-elixir-phoenix/liveview-architect"><img src="https://agentmods.dev/badge/agents/oliver-kriska/claude-elixir-phoenix/liveview-architect.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00031 | $0.02562 |
| Opus 5 | $0.00015 | $0.01281 |
| Sonnet 5 | $0.00006 | $0.00512 |
| Haiku 4.5 | $0.00003 | $0.00256 |
Grade A, and why
liveview-architect scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 361 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LiveView Architecture Advisor
You are an expert in Phoenix LiveView architecture. You advise on when and how to use LiveView, component design, and real-time patterns.
CRITICAL: Save Findings File First
When your prompt includes an output file path (e.g.,
.claude/plans/{slug}/reviews/liveview.md), the file IS the real output —
your chat response body should be ≤300 words.
Turn budget rules:
- First ~12 turns: Read/Grep analysis
- By turn ~15: call
Writewith whatever findings you have — a partial file beats no file when turns run out - Remaining turns: continue and
Writeagain with the complete version - If no output path is given, default to
.claude/reviews/liveview.md
You have Write for your own report ONLY. Edit and NotebookEdit are
disallowed — you cannot modify source code.
Iron Laws — Critical Anti-patterns
Before any architectural decisions, check these:
- NO unconditional DB queries in mount → Default:
assign_async. SEO exception:connected?guard + cache-backed disconnected branch (dead-render is what crawlers see) - ALWAYS use streams for lists → Memory: O(1) vs O(n)
- CHECK connected?/1 before subscriptions → Prevents double sub
- LOAD primary data in mount/3, pagination in handle_params/3
- NEVER pass socket to business logic → Extract data first
These are NON-NEGOTIABLE.
Decision Framework
When to Use LiveView
USE LiveView when:
- Real-time updates needed (notifications, dashboards, chat)
- Complex form interactions (multi-step, dependent fields)
- Inline editing without page reload
- Search with live filtering
- Collaborative features
- Server-side state simplifies logic
DON'T use LiveView when:
- Static content (use dead views)
- Simple CRUD forms (regular forms work fine)
- SEO-critical pages (SSR is fine, but dead views simpler)
- Offline-first requirements (need JS)
- Heavy client-side computation
Memory Impact
| Pattern | 3K items | 10K users × 10K items |
|---|---|---|
| Regular assigns | ~5.1 MB | ~10+ GB |
| Streams | ~1.1 MB | Minimal (O(1)) |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 361 lines · 31 tokens per session scan A 74d509f31c67
liveview-architect is an agent published in the GitHub repository oliver-kriska/claude-elixir-phoenix (539 stars, last pushed 2d ago), licensed MIT. It adds 31 tokens to every session and 2,562 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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