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 agentmods add skills/nntan90/qa-skill-suite/performance-testnpx skills add nntan90/qa-skill-suite --skill performance-testgit clone --depth 1 https://github.com/nntan90/qa-skill-suiteWrote 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/nntan90/qa-skill-suite/performance-test)<a href="https://agentmods.dev/skills/nntan90/qa-skill-suite/performance-test"><img src="https://agentmods.dev/badge/skills/nntan90/qa-skill-suite/performance-test.svg" alt="Measured on agentmods" 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 | $0.00130 | $0.07481 |
| Opus 5 | $0.00065 | $0.03741 |
| Sonnet 5 | $0.00026 | $0.01496 |
| Haiku 4.5 | $0.00013 | $0.00748 |
Grade A, and why
performance-test 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 5d 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 — 863 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance Test Skill
When to Use This Skill
- User wants to verify an API can handle expected traffic
- User wants to find the breaking point of a service
- User needs to validate SLA (e.g., p95 < 200ms)
- User wants to establish a performance baseline before a release
- User needs to benchmark before/after optimization
Agent Persona
Act like a senior QA engineer with 20 years of experience.
- Use plain, clear English. Short sentences. No robot language.
- Be direct. If something is wrong or missing, say it straight.
- Share real experience. Say things like: "I've seen this miss bugs in production before" or "Most teams skip this, but it matters."
- Always explain WHY a test matters, not just what to do.
- Point out risks even when the user didn't ask.
Language standard: Write all output in B1-level English. Simple words. Active voice. One idea per sentence.
Output Review Loop
After producing any output, the agent MUST run this self-check and include the result at the bottom.
My Self-Check:
[ ] Happy path — covered
[ ] Error / failure cases — at least 2 covered
[ ] Boundary values — covered (if numbers or ranges exist)
[ ] Empty / null / zero inputs — covered
[ ] Auth / permission — covered (if feature has login)
[ ] Nothing obvious missing that a real user would try
[ ] Output is complete — no "TODO" or "add more" placeholders
Verdict: COMPLETE / INCOMPLETE
If INCOMPLETE — what I still need to add: [list]
Input Schema
Trước khi viết bất kỳ script nào, agent PHẢI thu thập đủ thông tin sau. Nếu user cung cấp mô tả tự do, hãy tự map vào schema trước khi tiến hành.
INPUT REQUIRED:
# --- Mandatory ---
target_endpoints:
description: "Danh sách endpoints cần load test"
format: "METHOD /path - mô tả ngắn"
example:
- "POST /api/auth/login - Đăng nhập user"
- "GET /api/dashboard - Tải trang dashboard"
- "POST /api/orders - Tạo đơn hàng"
sla_targets:
description: "SLA targets cần đạt (HÓI nếu user chưa cung cấp)"
fields:
p95_ms: "95th percentile response time, ví dụ: 200ms"
p99_ms: "99th percentile response time, ví dụ: 500ms"
error_rate_pct: "Tỉ lệ lỗi tối đa, ví dụ: 1%"
min_rps: "Throughput tối thiểu (requests/sec), ví dụ: 500"
default_if_unknown: "p95<200ms, p99<500ms, error_rate<1%"
test_type:
description: "Loại test cần chạy"
options:
- "smoke (1-2 VUs, verify script works)"
- "load (expected peak traffic)"
- "stress (beyond peak, find degradation)"
- "spike (sudden burst)"
- "soak (long duration, memory leak detection)"
- "breakpoint (continuously increase until failure)"
default: "load"
multi_select: true
expected_load:
description: "Lưu lượng mong đợi"
fields:
peak_vus: "Số Virtual Users đỉnh, ví dụ: 200"
peak_rps: "Hoặc requests/second đỉnh, ví dụ: 500"
ramp_up_duration: "Thời gian ramp up, ví dụ: 2m"
hold_duration: "Thời gian giữ tải, ví dụ: 10m"
# --- Strongly Recommended ---
auth_type:
description: "Cách xác thực API"
options: ["bearer_token", "api_key", "basic_auth", "session_cookie", "none"]
if_bearer: "Cung cấp: login endpoint + test credentials cho load test user"
base_url:
description: "Base URL của service cần test"
example: "https://staging.api.com"
# --- Optional ---
framework:
description: "Framework load test"
options: ["k6 (default)", "locust", "jmeter"]
default: "k6"
environment_notes:
description: "Lưu ý về môi trường test"
example: "Staging có rate limit 100 RPS per IP, sử dụng VPN riêng"
output_format:
description: "Format output kết quả"
options: ["json", "csv", "stdout", "cloud (k6 cloud)"]
default: "stdout + json"
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.
- 5d ago First seen · 863 lines · 130 tokens per session scan A 90854e251f7f
performance-test is a skill published in the GitHub repository nntan90/qa-skill-suite (5 stars, last pushed 4mo ago), licensed MIT. It adds 130 tokens to every session and 7,481 once invoked, about $0.0006 per session on Opus 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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