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CLI ToolsMay 14, 2026·2 min de lectura

Spikee — Prompt Injection Eval Kit (CLI)

ReversecLabs/spikee is a modular CLI for prompt injection/jailbreak evals; verified 184★ and documents `spikee generate` → `spikee test`.

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Listo para agents

Este activo puede ser leído e instalado directamente por agents

TokRepo expone un comando CLI universal, contrato de instalación, metadata JSON, plan según adaptador y contenido raw para que los agents evalúen compatibilidad, riesgo y próximos pasos.

Native · 94/100Política: permitir
Superficie agent
Cualquier agent MCP/CLI
Tipo
Cli
Instalación
Pip
Confianza
Confianza: Established
Entrada
spikee generate --seed-folder ...
Comando CLI universal
npx tokrepo install a7d0dde3-6f49-5ae6-a26a-5667b707d2bb
contrato de instalaciónJSON de metadataplan adaptadorcontenido raw
Introducción

ReversecLabs/spikee is a modular CLI for prompt injection/jailbreak evals; verified 184★ and documents spikee generate → spikee test.

Best for: Security-minded teams evaluating LLM apps, RAG systems, and guardrails against injection/jailbreak attacks

Works with: Python envs, OpenAI-compatible endpoints by default, optional extras for Bedrock/Azure/Ollama/Groq

Setup time: 10-30 minutes

Key facts (verified)

  • GitHub: 184 stars · 41 forks · pushed 2026-05-13.
  • License: Apache-2.0 · owner avatar + repo URL verified via GitHub API.
  • README-backed entrypoint: spikee generate --seed-folder ....

Main

  • Follow the two-stage loop in README: generate datasets from seed folders, then test a target with consistent judges/providers.

  • Keep installs lean: README says the default install targets OpenAI-compatible endpoints; use extras only for providers you need.

  • Treat results as evidence: keep JSONL datasets + configs and re-run generate + test in CI or on release candidates.

Source-backed notes

  • README says Spikee migrated away from LangChain to any-llm to reduce dependency bloat, with optional extras like spikee[all].
  • README quickstart uses pip install spikee, then spikee init for a workspace and spikee list for modules.
  • README describes dataset generation (spikee generate) and testing (spikee test) as the core workflow stages.

FAQ

  • Is Spikee only for standalone models?: No — README includes LLM applications/agents and guardrails as targets.
  • Do I have to install heavyweight SDKs?: No — README says the default install stays minimal and provider SDKs are optional extras.
  • How do I keep evals repeatable?: Version your seed folders/datasets and re-run with pinned providers/judges.
🙏

Fuente y agradecimientos

Source: https://github.com/ReversecLabs/spikee > License: Apache-2.0 > GitHub stars: 184 · forks: 41

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