quality-engineering-api-performance-testing

quality-engineering-api-performance-testing is a skill for Claude Code, Codex from HoangNguyen0403/agent-skills-standard. It costs 51 tokens per session (1,118 once invoked), scanned A, original, MIT.

A guide to testing an API's performance under controlled load, including response time, request volume, overload, and recovery.

In plain words
What is it for?
It helps plan load, stress, and recovery tests using concurrency or arrival rates, latency percentiles, error rates, saturation, and post-test return to normal.
Why use it?
It prevents misleading results by requiring approved targets, finite workload limits, safe test isolation, and separate checks for overload and recovery.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit It helps plan load, stress, and recovery tests using concurrency or arrival rates, latency percentiles, error rates, saturation, and post-test return to normal.

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Install with agentmods
npx agentmods add skills/hoangnguyen0403/agent-skills-standard/quality-engineering-api-performance-testing
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.

Any agent
npx skills add HoangNguyen0403/agent-skills-standard --skill quality-engineering-api-performance-testing
Clone the repo
git clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standard

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 quality-engineering-api-performance-testing

README.md
[![agentmods](https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/quality-engineering-api-performance-testing/github.svg)](https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/quality-engineering-api-performance-testing)
Your own site
<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/quality-engineering-api-performance-testing"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/quality-engineering-api-performance-testing/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.

agentmods 80×15 button for quality-engineering-api-performance-testing

Your own site · 80×15
<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/quality-engineering-api-performance-testing"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/quality-engineering-api-performance-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,118 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found 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 5.1 $0.00051 $0.01118
Opus 5.5 $0.00020 $0.00447
Sonnet 5.5 $0.00010 $0.00224
Haiku 4.5 $0.00005 $0.00112

Measured today against content hash c7d76ae4db87, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

quality-engineering-api-performance-testing 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.

.agents/skills/quality-engineering/quality-engineering-api-performance-testing/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

API Performance, Load, and Recovery Testing

Priority: P1 (HIGH)

Workflow

  1. Parameterize Workload: Source arrival rate vs concurrency, request mix, duration, and SLO percentiles from approved requirements/SLOs. Missing approvals block execution, not offline planning.
  2. Preflight & Bound (C4): Verify explicit target authorization and synthetic isolation. Enforce distinct finite ceilings, each with its own unit — maxArrivalRateRps, maxInFlightRequests/maxConcurrency, maxPayloadBytes, duration — plus cancellation hooks and continuous stop tripwires. A rate ceiling is not a concurrency bound.
  3. Establish Phase-Specific Baseline: Exclude warmup. Measure baseline throughput, success latency, error latency ($p50, p95, p99$), and baseline error budget.
  4. Evaluate Overload & Degradation: Apply stepped ramp up to authorized stress cap. Distinguish expected shedding (e.g. 429/503) from unexpected system faults; abort if tripwires fire.
  5. Verify Post-Overload Recovery: Drop traffic to baseline/zero. In a dedicated post-stress window, verify return to baseline latency, error budget restabilization, and resource release against approved recovery SLO.
  6. Capture Evidence (C3): Emit complete C2 scenario and C3 evidence records; record unexecuted runs as BLOCKED/NOT RUN with explicit missing prerequisites.

Workload Specification (AC-11)

  • Model Selection: Select open model (constant arrival rate) for uncoordinated/public traffic; closed model (virtual users) for coordinated/batch workers.
  • Request Mix: Proportions of endpoints, read/write ratio, and data variance parameterized from production profiles or approved requirements.
  • Warmup & Measurement: Explicit warmup window (metrics discarded from SLOs) preceding steady-state observation.
  • SLO Metrics (Success & Error): Record both successful and error response latencies ($p50, p95, p99$), throughput (RPS), error budget, and resource saturation.
  • Approval Gate: Operational targets must originate from approved specifications. If unapproved, mark execution BLOCKED: Missing approved SLO threshold for <metric>; continue offline planning. Numeric examples in references are synthetic fixture contracts only.

Read the full file on GitHub · 66 lines

Files

What ships with it

4 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 · 66 lines · 51 tokens per session scan A c7d76ae4db87

Subscribe to this mod's changes

quality-engineering-api-performance-testing is a skill published in the GitHub repository HoangNguyen0403/agent-skills-standard (582 stars, last pushed today), licensed MIT. It adds 51 tokens to every session and 1,118 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 2026-10-28.

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