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 Jkudjo/oh-my-cursor --skill qagit clone --depth 1 https://github.com/Jkudjo/oh-my-cursorWrote 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/jkudjo/oh-my-cursor/qa)<a href="https://agentmods.dev/skills/jkudjo/oh-my-cursor/qa"><img src="https://agentmods.dev/badge/skills/jkudjo/oh-my-cursor/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/jkudjo/oh-my-cursor/qa"><img src="https://agentmods.dev/badge/skills/jkudjo/oh-my-cursor/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 | $0.00018 | $0.00229 |
| Opus 5.5 | $0.00007 | $0.00092 |
| Sonnet 5.5 | $0.00004 | $0.00046 |
| Haiku 4.5 | $0.00002 | $0.00023 |
Grade A, and why
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 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.
What it actually says
qa
Invoke this skill to run a structured QA testing pass.
When to use
- After implementing a feature
- Before shipping or creating a PR
- When you want to verify edge cases were handled
What it does
- Identifies what was built (reads recent changes, plan if available)
- Generates a test plan:
- Happy path scenarios
- Edge cases (empty, null, max, concurrent)
- Error/failure paths
- Integration points
- Executes each test case — runs code, reads output, verifies behavior
- For each failure: documents repro steps, expected vs actual
- Reports:
- Health score (0–100)
- Passed / Failed / Skipped counts
- Bug list with repro steps
- Recommendation: SHIP / SHIP WITH NOTES / HOLD
Example
@qa "the new authentication flow"
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 · 38 lines · 18 tokens per session scan A db730ab75daf
qa is a skill published in the GitHub repository Jkudjo/oh-my-cursor (1 stars, last pushed 6mo ago), licensed MIT. It adds 18 tokens to every session and 229 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 2026-08-31.
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