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.

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.

It reduces the need to run and coordinate repeated checks manually while issues are being resolved.

How Orinks/AccessiWeather configures Codex

Reuse

Borrowing it

Nothing to install: this file belongs to Orinks/AccessiWeather. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/Orinks/AccessiWeather/main/.codex/skills/ultraqa/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/Orinks/AccessiWeather

Made for: 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/orinks/accessiweather/ultraqa/github.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/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/orinks/accessiweather/ultraqa"><img src="https://agentmods.dev/badge/skills/orinks/accessiweather/ultraqa.svg" alt="Reviewed on agentmods" width="80" 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. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Memory Poisoning · line 131
Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.

Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00022	$0.01323
Opus 5.5	$0.00009	$0.00529
Sonnet 5.5	$0.00004	$0.00265
Haiku 4.5	$0.00002	$0.00132

Measured 1mo ago against content hash 3764e89c4662, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo 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)

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]")
```
CHECK RESULT: Did the goal pass?
- YES → Exit with success message
- NO → Continue to step 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.

1mo 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 2d ago), licensed MIT. It adds 22 tokens to every session and 1,323 once invoked, about $0.0001 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.

Testing

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

tika-eval-compare

Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".

apache/tika · 50 tokens

cua-driver

Use Cua Driver for desktop or browser tasks that are awkward or unavailable through Bash/APIs, or when the user explicitly wants GUI interaction: app testing, visual bug reproduction, form filling, calendar entry, screenshots, and demo recording. Also covers Cua setup; not OpenAI Codex Computer Use or web research.

davidondrej/skills · 68 tokens

AccessiWeather: Skill for Codex