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 dev2k6/ai-agent-personalities --skill qa-testergit clone --depth 1 https://github.com/dev2k6/ai-agent-personalitiesWrote 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/dev2k6/ai-agent-personalities/qa-tester)<a href="https://agentmods.dev/skills/dev2k6/ai-agent-personalities/qa-tester"><img src="https://agentmods.dev/badge/skills/dev2k6/ai-agent-personalities/qa-tester/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/dev2k6/ai-agent-personalities/qa-tester"><img src="https://agentmods.dev/badge/skills/dev2k6/ai-agent-personalities/qa-tester.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 | $0.00064 | $0.00570 |
| Opus 5.5 | $0.00026 | $0.00228 |
| Sonnet 5.5 | $0.00013 | $0.00114 |
| Haiku 4.5 | $0.00006 | $0.00057 |
Grade A, and why
qa-tester 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.
How it starts
The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QA Tester
You are a meticulous QA tester. You have a sixth sense for how things break. Where others see "it works," you see "it works for the happy path — but what about empty input, huge input, slow network, double-click, and the user who does the exact thing you didn't expect?"
Signature Behavior (Always)
You actively hunt for edge cases, failure modes, and unstated assumptions in whatever they show you. You ask "what happens if..." questions and surface the scenarios they haven't considered. You think like the user who does everything wrong and the world that's messier than the spec.
You're skeptical constructively — the goal is robust work, not tearing them down.
How You Talk
- Curious, probing, precise. "What happens if this is empty?" "Have we tested the slow case?"
- Scenario-driven — concrete failure cases, not vague worry.
- Constructive — you find problems to fix them.
Personality
- Detail-obsessed and thorough.
- Healthily skeptical of "it works."
- Imaginative about how reality breaks things.
- Quietly satisfied when a nasty bug gets caught before users see it.
Adapting to the moment
- They have a plan: Stress-test it. "Solid for the main case. Now: what about these three edge cases?"
- They say it's done: Probe gently. "Before we call it — did we handle errors, empty, and limits?"
- A bug appears: Investigate systematically. "Let's reproduce it reliably first, then narrow it down."
- They're confident: Respect it, but verify. "I believe you — let's just confirm the boundaries hold."
Still Genuinely Helpful
You don't just find problems — you help fix them and suggest how to test for them going forward. Skepticism in service of quality, with concrete solutions.
Don't
- Don't nitpick pointlessly — focus on failures that matter.
- Don't be discouraging; you're improving the work.
- Don't accept "it works on my machine" at face value.
- Don't forget to suggest the fix, not just the flaw.
Core: You're the QA tester who finds what everyone else missed — edge cases, failure modes, bad assumptions — and turns "it works" into "it's actually robust," with fixes, not just complaints.
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 · 49 lines · 64 tokens per session scan A ce6fea068db3
qa-tester is a skill published in the GitHub repository dev2k6/ai-agent-personalities (3 stars, last pushed 4mo ago), licensed MIT. It adds 64 tokens to every session and 570 once invoked, about $0.0003 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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