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api-load-tester

Load tests API endpoints with progressive concurrency. Measures response times, error rates, throughput, and identifies breaking points. Generates a detailed report with latency percentiles, throughput curves, bottleneck analysis, and optimization recommendations.

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Precio sin confirmar★ 287 Estrellas de GitHubRegistro actualizado · 6 sept 2026agent-skill

Resumen

Leer documentación completa

Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

API Load Tester

Stress-test HTTP endpoints under increasing load, identify breaking points, and produce a report with actionable recommendations.

references/tool-commands.md -- tool invocations (hey/wrk/ab/curl), default concurrency stages, per-stage data to capture.
references/metrics-interpretation.md -- latency, throughput, error, breaking-point, and bottleneck classification.
references/output-template.md -- exact structure for api-load-report.md, including ASCII charts and scaling table.
references/rules-and-examples.md -- safety rules, error handling, and example invocations.

Inputs

Collect from the user. Ask before proceeding if a required input is missing.

Required: endpoint URL(s) (with method, headers, body as needed); expected latency thresholds. Default thresholds if unspecified: p50 < 100ms, p95 < 300ms, p99 < 1000ms.

Optional: concurrent users or range (default ramp 1 to 100); authentication; request payloads; custom headers; test duration (default 10s per stage); ramp pattern (default step ramp, doubling each stage); success criteria (default 2xx); known rate limits; environment label (prod/staging/dev).

Workflow

Follow these steps in order.

Select a tool. Check in priority order: which hey, which wrk, which ab, which curl. If none of hey/wrk/ab exist, install hey (brew install hey on macOS, go install github.com/rakyll/hey@latest on Linux with Go) or fall back to curl with bash background processes and wait. Verify with a single trivial request against a provided endpoint; diagnose connectivity or auth before continuing.
Validate endpoints. Send one request per endpoint with the specified method, headers, auth, and body. Confirm the status matches the success criteria and record baseline single-request latency. On failure, surface the error and ask whether to skip or fix.
Design the test plan. Build progressive concurrency stages (see references/tool-commands.md for the default progression), trimming or extending to the user's concurrency range. Define per-endpoint method, URL, headers, body, success codes, and timeout (default 30s). Print the plan for review before executing.
Execute stages. For each endpoint, run every concurrency stage sequentially with the selected tool, waiting 2 seconds between stages. Capture and store the per-stage metrics. See references/tool-commands.md for commands, request-count formula, and the metrics list.
Interpret metrics. Compute latency percentiles and profile, throughput curve and ceiling, error rates and onset, the breaking point, and the bottleneck classification. See references/metrics-interpretation.md.
Generate the report. Write api-load-report.md to the current working directory following references/output-template.md exactly, including ASCII throughput and latency charts.
Post-report actions. Print a 3-5 line summary to the console, state the report path, explicitly highlight any critical issues, and offer to re-run specific stages with different parameters.

Rules

Apply the safety rules, error handling, and example invocations in references/rules-and-examples.md. Key constraints: never load-test production without explicit confirmation, only test GET by default, mask auth tokens, respect 429 rate limits, count timeouts as failures, and never extrapolate beyond tested ranges.

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Metadatos del archivo

name: api-load-tester
description: Load tests API endpoints with progressive concurrency. Measures response times, error rates, throughput, and identifies breaking points. Generates a detailed report with latency percentiles, throughput curves, bottleneck analysis, and optimization recommendations.
tools: Bash, Read, Write, Glob, Grep
model: inherit

Ver texto original

---
name: api-load-tester
description: Load tests API endpoints with progressive concurrency. Measures response times, error rates, throughput, and identifies breaking points. Generates a detailed report with latency percentiles, throughput curves, bottleneck analysis, and optimization recommendations.
tools: Bash, Read, Write, Glob, Grep
model: inherit
---

# API Load Tester

Stress-test HTTP endpoints under increasing load, identify breaking points, and produce a report with actionable recommendations.

## Contents

- `references/tool-commands.md` -- tool invocations (hey/wrk/ab/curl), default concurrency stages, per-stage data to capture.
- `references/metrics-interpretation.md` -- latency, throughput, error, breaking-point, and bottleneck classification.
- `references/output-template.md` -- exact structure for `api-load-report.md`, including ASCII charts and scaling table.
- `references/rules-and-examples.md` -- safety rules, error handling, and example invocations.

## Inputs

Collect from the user. Ask before proceeding if a required input is missing.

**Required**: endpoint URL(s) (with method, headers, body as needed); expected latency thresholds. Default thresholds if unspecified: p50 < 100ms, p95 < 300ms, p99 < 1000ms.

**Optional**: concurrent users or range (default ramp 1 to 100); authentication; request payloads; custom headers; test duration (default 10s per stage); ramp pattern (default step ramp, doubling each stage); success criteria (default 2xx); known rate limits; environment label (prod/staging/dev).

## Workflow

Follow these steps in order.

1. **Select a tool.** Check in priority order: `which hey`, `which wrk`, `which ab`, `which curl`. If none of hey/wrk/ab exist, install hey (`brew install hey` on macOS, `go install github.com/rakyll/hey@latest` on Linux with Go) or fall back to curl with bash background processes and `wait`. Verify with a single trivial request against a provided endpoint; diagnose connectivity or auth before continuing.

2. **Validate endpoints.** Send one request per endpoint with the specified method, headers, auth, and body. Confirm the status matches the success criteria and record baseline single-request latency. On failure, surface the error and ask whether to skip or fix.

3. **Design the test plan.** Build progressive concurrency stages (see `references/tool-commands.md` for the default progression), trimming or extending to the user's concurrency range. Define per-endpoint method, URL, headers, body, success codes, and timeout (default 30s). Print the plan for review before executing.

4. **Execute stages.** For each endpoint, run every concurrency stage sequentially with the selected tool, waiting 2 seconds between stages. Capture and store the per-stage metrics. See `references/tool-commands.md` for commands, request-count formula, and the metrics list.

5. **Interpret metrics.** Compute latency percentiles and profile, throughput curve and ceiling, error rates and onset, the breaking point, and the bottleneck classification. See `references/metrics-interpretation.md`.

6. **Generate the report.** Write `api-load-report.md` to the current working directory following `references/output-template.md` exactly, including ASCII throughput and latency charts.

7. **Post-report actions.** Print a 3-5 line summary to the console, state the report path, explicitly highlight any critical issues, and offer to re-run specific stages with different parameters.

## Rules

Apply the safety rules, error handling, and example invocations in `references/rules-and-examples.md`. Key constraints: never load-test production without explicit confirmation, only test GET by default, mask auth tokens, respect 429 rate limits, count timeouts as failures, and never extrapolate beyond tested ranges.

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Licencia: MIT
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Revisar antes de instalar: Evitar instalación automática

Licencia: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
The skill may install 'hey' without explicitly asking for user permission, which could be considered an unwanted side effect.
The skill's safety rules are thorough, but the workflow could more explicitly require user confirmation before any non-GET requests, even if they are idempotent.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 287 stars, 43 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

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Fuente y notas de uso

Indexado

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Repositorio fuente: OneWave-AI/claude-skills
Licencia: MIT
Versión: 1.0.0
Último push de GitHub: 11 ago 2026
Registro actualizado: 6 sept 2026
Ruta de instrucciones: api-load-tester/SKILL.md @ 82859c0ebaff

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

68/100

Prometedor

Confianza

57/100

Do not auto-install

Auditoría

73/100

Requiere revisión

Abrir auditoría completa Ver informe de evaluación

Dependency or permission surface needs review
Permission surface may require sandboxing
The skill may install 'hey' without explicitly asking for user permission, which could be considered an unwanted side effect.
The skill's safety rules are thorough, but the workflow could more explicitly require user confirmation before any non-GET requests, even if they are idempotent.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 287 stars, 43 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

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Resultados: —

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Más detalles

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Creador: OneWave-AI
Fuente: OneWave-AI/claude-skills
Indexado por: Índice comunitario de OpenAgentSkill

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Añade las insignias de evidencia a tu README

Muestra la ficha canónica, las señales actuales de confianza y auditoría, y evidencia real de Agent-Proven donde los desarrolladores evalúan el repositorio.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/onewave-ai-api-load-tester?metric=listed&label=Listed)](https://www.openagentskill.com/skills/onewave-ai-api-load-tester?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/onewave-ai-api-load-tester?metric=trust&label=Trust)](https://www.openagentskill.com/skills/onewave-ai-api-load-tester?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/onewave-ai-api-load-tester?metric=audit&label=Audit)](https://www.openagentskill.com/skills/onewave-ai-api-load-tester/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/onewave-ai-api-load-tester?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/onewave-ai-api-load-tester?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

Vista previa de insignia Abrir auditoría Kit para creadores

Señal de comunidad

Comparte si este skill resulta útil para tu flujo de Agent. Los comentarios agregados mejoran la clasificación con el tiempo.