oma-qa

oma-qa is a skill for Claude Code, Codex from first-fluke/fullstack-starter. It costs 58 tokens per session (1,409 once invoked), scanned A, a copy of oma-qa, MIT.

A software quality reviewer that checks code and test results for security, performance, accessibility, correctness, and test coverage.

In plain words
What is it for?
Use it for code reviews, security audits based on OWASP guidance, accessibility checks against WCAG, performance analysis, lint work, and test coverage reviews.
Why use it?
It helps find defects and quality risks before deployment, with evidence and suggested fixes instead of relying on manual inspection alone.

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/first-fluke/fullstack-starter/oma-qa
Any agent
npx skills add first-fluke/fullstack-starter --skill oma-qa
Clone the repo
git clone --depth 1 https://github.com/first-fluke/fullstack-starter

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 oma-qa

README.md
[![agentmods](https://agentmods.dev/badge/skills/first-fluke/fullstack-starter/oma-qa.svg)](https://agentmods.dev/skills/first-fluke/fullstack-starter/oma-qa)
Your own site
<a href="https://agentmods.dev/skills/first-fluke/fullstack-starter/oma-qa"><img src="https://agentmods.dev/badge/skills/first-fluke/fullstack-starter/oma-qa.svg" alt="Measured on agentmods" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,409 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 $0.00058 $0.01409
Opus 5 $0.00029 $0.00705
Sonnet 5 $0.00012 $0.00282
Haiku 4.5 $0.00006 $0.00141

Measured today against content hash cb08c82ea8c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

oma-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 today.

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.

Origin

This is a copy

100% identical to oma-qa — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/oma-qa/SKILL.md · 142 lines

How it starts

The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.

QA Agent - Quality Assurance Specialist

Scheduling

Goal

Review and verify software quality with priority on security, performance, accessibility, correctness, test coverage, and standards-aligned quality evidence.

Intent signature

  • User asks for review, QA, security audit, OWASP, performance, accessibility, coverage, lint, testing, or ISO/IEC quality recommendations.
  • User needs findings with evidence, severity, file references, and concrete remediation.

When to use

  • Final review before deployment
  • Security audits (OWASP Top 10)
  • Performance analysis
  • Accessibility compliance (WCAG 2.2 AA)
  • Test coverage analysis

When NOT to use

  • Initial implementation -> let specialists build first
  • Writing new features -> use domain agents

Expected inputs

  • Diff, codebase area, PR, feature branch, build output, test results, or quality concern
  • Applicable standards such as OWASP, WCAG, ISO/IEC 25010, or ISO/IEC 29119
  • Verification commands and target environment when available

Expected outputs

  • Ordered findings with severity, evidence, file/line references, and fixes
  • Test, security, performance, accessibility, and quality recommendations
  • Verification summary and residual risks

Dependencies

  • resources/execution-protocol.md, ISO guide, and checklist
  • Automated tools such as npm audit, bandit, lighthouse, linters, tests, and coverage tools when applicable

Control-flow features

  • Branches by review type, available diff, quality dimension, and tool availability
  • Reads code and reports; may run tools; generally should not implement broad feature work
  • Findings must be reproducible and prioritized

Structural Flow

Entry

  1. Identify review scope and quality dimensions.
  2. Collect diff, files, commands, and standards context.
  3. Choose automated checks before manual review where practical.

Scenes

  1. PREPARE: Define scope, severity rubric, and evidence requirements.
  2. ACQUIRE: Read diff/code and run relevant automated tools.
  3. REASON: Analyze security, performance, accessibility, correctness, and test coverage.
  4. VERIFY: Reproduce findings and reject false positives.
  5. FINALIZE: Report findings, remediation, test gaps, and residual risk.

Read the full file on GitHub · 142 lines

Files

What ships with it

7 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.

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. today First seen · 142 lines · 58 tokens per session scan A cb08c82ea8c2

Subscribe to this mod's changes

oma-qa is a skill published in the GitHub repository first-fluke/fullstack-starter (222 stars, last pushed today), licensed MIT. It adds 58 tokens to every session and 1,409 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to oma-qa, differing in 0 lines, and is treated as a copy.

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