urithiru

urithiru is a skill for Claude Code, Codex from mphinance/alpha-skills. It costs 89 tokens per session (1,723 once invoked), scanned A, original, MIT.

A multi-model checking workflow that sends a question or piece of work to several AI models at the same time and combines their independent answers. It uses a coordinating model to produce the final response.

In plain words
What is it for?
Use it to review code, decisions, research questions, trading ideas, or other work when you want several AI opinions before reaching a conclusion.
Why use it?
Comparing separate answers can expose disagreements or missed points that one model might overlook. It provides different levels of checking depending on the request and its stated risk.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review code, decisions, research questions, trading ideas, or other work when you want several AI opinions before reaching a conclusion.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mphinance/alpha-skills/urithiru
Install

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.

Any agent
npx skills add mphinance/alpha-skills --skill urithiru
Clone the repo
git clone --depth 1 https://github.com/mphinance/alpha-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for urithiru

README.md
[![agentmods](https://agentmods.dev/badge/skills/mphinance/alpha-skills/urithiru/github.svg)](https://agentmods.dev/skills/mphinance/alpha-skills/urithiru)
Your own site
<a href="https://agentmods.dev/skills/mphinance/alpha-skills/urithiru"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/urithiru/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.

agentmods 80×15 button for urithiru

Your own site · 80×15
<a href="https://agentmods.dev/skills/mphinance/alpha-skills/urithiru"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/urithiru.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,723 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00089 $0.01723
Opus 5.5 $0.00036 $0.00689
Sonnet 5.5 $0.00018 $0.00345
Haiku 4.5 $0.00009 $0.00172

Measured 1mo ago against content hash ebc481d31e31, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

urithiru 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 1mo ago.

The scan reads SKILL.md. This mod also ships 6 executable files (outlier_detector.py, router.py, runner.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/urithiru/SKILL.md · 154 lines

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.

Urithiru — The Tower at the Center

"All the Oathgates lead here. All answers converge at the top."

You are Antigravity, the orchestrator. The user is the human at the top who asked the question. The lanes are the specialists in the soundproof booths. You read all their answers and synthesize. You are NOT one of the lanes. You are the Chief Medical Officer.


Trigger Phrases

Activate Urithiru when the user says any of the following:

  • "run this through Urithiru"
  • "Urithiru check"
  • "Urithiru this"
  • "send this to the tower"
  • "trade this" / "trading check" (→ category=trading, stakes=high, 5 lanes minimum)
  • "live trade" / "real money" (→ category=trading, stakes=critical, 7 lanes full tower)
  • "quick trading check" (→ category=trading, stakes=medium, 3 lanes)
  • "full tower" (→ 7 lanes explicit override)
  • "run the board" (legacy Constellation phrase)

Step 1: Parse the Query

Extract from the user's message:

  1. The query — the actual thing to evaluate (code, text, strategy, question)
  2. Category — auto-detect from content:
    • code — any source code, scripts, functions, architecture decisions
    • trading — options strategies, signals, backtests, risk analysis, market setups
    • writing — Substack posts, documentation, any prose
    • general — everything else
  3. Lane count — auto-determine (see Step 2) or use explicit override

Step 2: Run the Lanes

Always use the --auto flag by default. The V2 router will automatically detect the category and "stakes" (critical/high/medium/low) based on keywords, and it will dynamically select the optimal lane count (from 1 to 7 lanes) using Thompson Sampling and ChromaDB semantic caching.

Execute the runner script from the skill directory:

cd ~/.gemini/antigravity/skills/urithiru
python3 runner.py \
  --query "QUERY_HERE" \
  --category code \
  --auto \
  --session-id "optional-label"

Only use explicit lane counts (e.g., --lanes 5 or --lanes 7) if the user explicitly overrides the auto-router (for example, by saying "run 5 lanes").

Read the full file on GitHub · 154 lines

Changes

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.

  1. 1mo ago First seen · 154 lines · 89 tokens per session scan A ebc481d31e31

Subscribe to this mod's changes

urithiru is a skill published in the GitHub repository mphinance/alpha-skills (28 stars, last pushed 10d ago), licensed MIT. It adds 89 tokens to every session and 1,723 once invoked, about $0.0004 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 2026-09-14.

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