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.
npx skills add keithhegit/ultra-orchestration --skill ultra-qagit clone --depth 1 https://github.com/keithhegit/ultra-orchestrationWrote 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/skills/keithhegit/ultra-orchestration/ultra-qa)<a href="https://agentmods.dev/skills/keithhegit/ultra-orchestration/ultra-qa"><img src="https://agentmods.dev/badge/skills/keithhegit/ultra-orchestration/ultra-qa/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/skills/keithhegit/ultra-orchestration/ultra-qa"><img src="https://agentmods.dev/badge/skills/keithhegit/ultra-orchestration/ultra-qa.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 | $0.00062 | $0.00253 |
| Opus 5.5 | $0.00025 | $0.00101 |
| Sonnet 5.5 | $0.00012 | $0.00051 |
| Haiku 4.5 | $0.00006 | $0.00025 |
Grade A, and why
ultra-qa 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 2mo 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.
What it actually says
Ultra QA
QA validates behavior, not just code shape.
Two Modes
- static mode: inspect code, diffs, tests, and artifacts when execution is not possible
- dynamic mode: run commands or tests when the environment allows it
Do not pretend dynamic evidence exists when it does not.
Scenario Set
Cover at least:
- happy path
- error path
- regression risk
- user-visible behavior
- missing tests that should exist later
Failure Routing
- send failures to
Executewhen the plan remains valid - send failures to
Planwhen QA exposes a deeper requirement or architecture flaw
Output
Return:
- scenarios exercised
- static evidence
- dynamic evidence, if any
- pass or fail
- residual risks
- reroute recommendation when failed
Read qa-modes before running verification.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 46 lines · 62 tokens per session scan A 93a4855ec6f6
ultra-qa is a skill published in the GitHub repository keithhegit/ultra-orchestration (6 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 62 tokens to every session and 253 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 2026-08-31.
Other skills, from other repositories
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gsd-audit-uat
Cross-phase audit of all outstanding UAT and verification items.
bmad-qa-generate-e2e-tests
Add end-to-end and API tests for features that already work, following the project's existing test harness. Use when the user asks for e2e tests, API tests, or automated coverage of an existing feature, or says "create qa automated tests for [feature]". Not for unit tests on work in flight, which the build writes.
allium
Give your AI agents something more useful than a prompt. Velocity through clarity.
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Trigger, monitor, update, profile, and stop Camunda load tests using gh CLI and kubectl directly — no MCP server required.