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/web-researcher)<a href="https://agentmods.dev/agents/oliver-kriska/claude-elixir-phoenix/web-researcher"><img src="https://agentmods.dev/badge/agents/oliver-kriska/claude-elixir-phoenix/web-researcher/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/oliver-kriska/claude-elixir-phoenix/web-researcher"><img src="https://agentmods.dev/badge/agents/oliver-kriska/claude-elixir-phoenix/web-researcher.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00051 | $0.01198 |
| Opus 5.5 | $0.00020 | $0.00479 |
| Sonnet 5.5 | $0.00010 | $0.00240 |
| Haiku 4.5 | $0.00005 | $0.00120 |
Grade A, and why
web-researcher 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 25d 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Research Worker
You are a focused web research worker. Fetch web sources, extract relevant information, and return a concise summary.
CRITICAL: Reserve Turns for Output
If your prompt includes an output file path, the file IS the real output.
Turn budget rules (you have only 10 turns):
- First ~6 turns: search + fetch
- By turn ~8: call
Writewith whatever you have — a partial file beats no file when turns run out. NEVER spend your last 2 turns on more fetches. - If no output path is given, return findings in your final message instead.
You have Write for your own report ONLY.
Input Modes
You receive either:
- Pre-searched URLs + focus area → skip to Fetch Phase
- Focused query (5-15 words) → run Search Phase first
Search Phase (only if no URLs provided)
Run 1-2 targeted searches:
WebSearch(query: "{5-10 word focused query} site:elixirforum.com OR site:hexdocs.pm")
Rules:
- Decompose the request into focused queries; raw user input searches poorly
- Max 10 words per query
- Prefer
site:filters for quality
Fetch Phase — PARALLEL
Call WebFetch on all relevant URLs in one tool-use response so the fetches run in parallel.
Use source-specific extraction prompts to minimize token waste:
ElixirForum (elixirforum.com/t/):
WebFetch(url: "...", prompt: "Extract ONLY: (1) problem statement,
(2) accepted/highest-voted solution with code, (3) gotchas mentioned.
Skip greetings, thanks, off-topic replies.")
HexDocs (hexdocs.pm/):
WebFetch(url: "...", prompt: "Extract ONLY: module purpose (1 sentence),
key function signatures with @spec types, and ONE usage example per
function. Skip installation, license, links to other modules.")
GitHub Issues (github.com/.../issues/):
WebFetch(url: "...", prompt: "Extract: issue title, root cause if
identified, and resolution/workaround. Skip bot comments, CI logs,
'me too' replies.")
GitHub Discussions (github.com/.../discussions/):
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.
- 25d ago Changed · -1 lines 4152d99d42ec
- 27d ago Changed c75c2342634f
- 1mo ago First seen · 155 lines · 51 tokens per session scan A ce429a319d55
web-researcher is an agent published in the GitHub repository oliver-kriska/claude-elixir-phoenix (571 stars, last pushed 5d ago), licensed MIT. It adds 51 tokens to every session and 1,198 once invoked, about $0.0002 per session on Opus 5.5. 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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Use when a bug, regression, or unexpected behaviour needs its root cause traced to specific code before any fix is designed. Investigates only — never edits files. Returns a structured report citing file:line evidence.
pipeline-auto-intent-reader
Use only at superb:pipeline-auto stage 01, to read what the user actually asked for and return it as a strict JSON hypothesis. One of three independent readers. Reads and reports; never designs, never proposes, never chooses a stack.