ultraqa

ultraqa is a skill for Claude Code, Codex from Orinks/AccessiWeather. It costs 22 tokens per session (1,323 once invoked), scanned A, original, MIT.

An autonomous quality-assurance workflow that repeatedly checks a stated goal, such as passing tests, a successful build, clean linting, or no TypeScript errors. Each cycle includes testing, verification, and fixes, for up to five cycles.

In plain words
What is it for?
Use it to cycle through tests, builds, lint checks, type checks, or a custom success condition until the goal is met or the cycle limit is reached.
Why use it?
It reduces the need to run and coordinate repeated checks manually while issues are being resolved.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/orinks/accessiweather/ultraqa
Any agent
npx skills add Orinks/AccessiWeather --skill ultraqa
Clone the repo
git clone --depth 1 https://github.com/Orinks/AccessiWeather

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 ultraqa

README.md
[![agentmods](https://agentmods.dev/badge/skills/orinks/accessiweather/ultraqa.svg)](https://agentmods.dev/skills/orinks/accessiweather/ultraqa)
Your own site
<a href="https://agentmods.dev/skills/orinks/accessiweather/ultraqa"><img src="https://agentmods.dev/badge/skills/orinks/accessiweather/ultraqa.svg" alt="Measured on agentmods" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,323 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00022 $0.01323
Opus 5 $0.00011 $0.00661
Sonnet 5 $0.00004 $0.00265
Haiku 4.5 $0.00002 $0.00132

Measured 4d ago against content hash 3764e89c4662, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ultraqa 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 4d 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.

.codex/skills/ultraqa/SKILL.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

UltraQA Skill

[ULTRAQA ACTIVATED - AUTONOMOUS QA CYCLING]

Overview

GPT-5.5 Guidance Alignment

Use the shared workflow guidance pattern: outcome-first framing, concise visible updates for multi-step QA, local overrides for the active workflow branch, validation proportional to risk, explicit stop rules, and automatic continuation for safe reversible steps. Ask only for material, destructive, credentialed, external-production, or preference-dependent branches.

You are now in ULTRAQA mode - an autonomous QA cycling workflow that runs until your quality goal is met.

Cycle: qa-tester → architect verification → fix → repeat

Goal Parsing

Parse the goal from arguments. Supported formats:

Invocation Goal Type What to Check
/ultraqa --tests tests All test suites pass
/ultraqa --build build Build succeeds with exit 0
/ultraqa --lint lint No lint errors
/ultraqa --typecheck typecheck No TypeScript errors
/ultraqa --custom "pattern" custom Custom success pattern in output

If no structured goal provided, interpret the argument as a custom goal.

Cycle Workflow

Cycle N (Max 5)

  1. RUN QA: Execute verification based on goal type

    • --tests: Run the project's test command
    • --build: Run the project's build command
    • --lint: Run the project's lint command
    • --typecheck: Run the project's type check command
    • --custom: Run appropriate command and check for pattern
    • --interactive: Use qa-tester for interactive CLI/service testing:
      delegate(role="qa-tester", tier="STANDARD", task="TEST:
      Goal: [describe what to verify]
      Service: [how to start]
      Test cases: [specific scenarios to verify]")
      
  2. CHECK RESULT: Did the goal pass?

    • YES → Exit with success message
    • NO → Continue to step 3
  3. ARCHITECT DIAGNOSIS: Spawn architect to analyze failure

    delegate(role="architect", tier="THOROUGH", task="DIAGNOSE FAILURE:
    Goal: [goal type]
    Output: [test/build output]
    Provide root cause and specific fix recommendations.")
    

Read the full file on GitHub · 144 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. 4d ago First seen · 144 lines · 22 tokens per session scan A 3764e89c4662

Subscribe to this mod's changes

ultraqa is a skill published in the GitHub repository Orinks/AccessiWeather (24 stars, last pushed 10d ago), licensed MIT. It adds 22 tokens to every session and 1,323 once invoked, about $0.0001 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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