CLI ToolsMay 14, 2026·2 min read

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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Agent ready

This asset can be read and installed directly by agents

TokRepo exposes a universal CLI command, install contract, metadata JSON, adapter-aware plan, and raw content links so agents can judge fit, risk, and next actions.

Native · 94/100Policy: allow
Agent surface
Any MCP/CLI agent
Kind
Cli
Install
Pip
Trust
Trust: Established
Entrypoint
spikee generate --seed-folder ...
Universal CLI install command
npx tokrepo install a7d0dde3-6f49-5ae6-a26a-5667b707d2bb
install contractmetadata JSONadapter planraw content
Intro

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.
🙏

Source & Thanks

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

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