SigmaShake
Pricing
- Model
- Subscription
- Price
- $20/mo
Summary
AI coding agents delete files, call expensive APIs, and exfiltrate data — not because they're malicious, but because nothing stopped them. SigmaShake sits between the agent and the action, enforcing rules before the damage lands.
SigmaShake intercepts tool calls from agents running in Claude Code, Cursor, VS Code Copilot, and Gemini CLI, evaluating each action against a rule set before it executes. The vendor states decisions resolve in roughly 85 ms using deterministic native evaluation — no model inference, no GPU, no token spend. Rules follow an Allow/Ask/Deny pattern, where Ask routes the action to a human approval queue rather than blunting everything with a hard block. The desktop app installs in about 30 seconds with no admin rights; the CLI drops into any shell or CI hook chain. Self-hosting is supported, which means the guardrail layer stays offline and never sends your code or commands to a third-party model.
Bottom line: Pick SigmaShake when you need deterministic, offline guardrails wired into Claude Code or Cursor and you cannot afford the latency or cost of a model-based policy check — but plan around the fact that no API means you cannot embed these checks programmatically into a custom agent runtime without reaching for the CLI or MCP server layer.
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Pros
Sign in to edit- Deterministic local evaluation at roughly 85 ms per check, so you avoid the latency and per-token cost of routing every agent action through a model-based policy guard.
- Ask mode holds a risky action in a human approval queue rather than blocking it outright, which means your agent keeps moving on safe tasks while you review the one call that needs a second look.
- PreToolUse hook integration for Claude Code and MCP server integration for Cursor, Codex, and VS Code Copilot, so the guardrail wires into agents your team is already running without a custom shim.
- Self-hosted deployment with no model inference, so your code, file paths, and shell commands never leave the machine — critical for teams with data-handling obligations.
- Per-user install with no admin or UAC rights required, which means individual developers can adopt it without waiting for IT to sign off on an organization-wide rollout.
Cons
Sign in to edit- No API is exposed, so teams building custom agent runtimes or embedding safety checks inside their own orchestration code cannot call SigmaShake programmatically — they wrap the CLI binary, which introduces a process boundary and complicates error handling at scale.
- The SHAKEDOWN benchmark that positions SigmaShake as the top-ranked guardrail was authored by SigmaShake, and competitor scores were modeled from public docs rather than measured runs; teams doing their own evaluation should run independent tests before treating the benchmark as a neutral comparison.
- Fleet management and team-level policy enforcement are paid-only features, which means a free-tier team cannot centrally audit what rules individual developers are running — a gap that matters the moment more than one engineer is using an AI coding agent on shared infrastructure.
- Windows support is the primary release target based on page emphasis and download prominence; macOS and Linux builds are listed but community reports on edge cases outside Windows are sparse, so teams running heterogeneous developer environments should validate on non-Windows machines before committing.
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About
- Platforms
- Windows 10+, macOS 14+, Linux (Ubuntu 22.04+ / Fedora 38+ / Pop!_OS)
- API Available
- No
- Self-Hosted
- Yes
- Last Updated
- 2026-06-18T07:50:45.263Z
Best For
Who it's for
- Teams using Claude Code, Cursor, or VS Code Copilot
- Developers requiring sub-2 ms deterministic safety checks
- Environments needing local, offline guardrails without model calls
What it does well
- Preventing accidental file deletion or project wipes by AI agents
- Blocking unauthorized API calls that could incur cloud costs
- Enforcing policy on email or data exfiltration attempts
- Auditing and approving high-risk actions in team environments
Integrations
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Frequently Asked Questions
- Is SigmaShake free?
- SigmaShake is a paid tool ($20/mo). No permanent free tier is offered.
- Is SigmaShake open source?
- No — SigmaShake is a closed-source tool. Source code is not publicly available.
- Can I self-host SigmaShake?
- Yes. SigmaShake supports self-hosting on your own infrastructure.
- What platforms does SigmaShake support?
- SigmaShake is available on: Windows 10+, macOS 14+, Linux (Ubuntu 22.04+ / Fedora 38+ / Pop!_OS).
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Curated lists that include this category
SigmaShake places a rule-enforcement layer between an AI coding agent and the actions it wants to take — file writes, shell commands, API calls, outbound requests. When an agent attempts a tool call, SigmaShake evaluates it against a compiled rule set and returns Allow, Deny, or Ask. Ask is the key differentiator: instead of a blunt block, the action is held in a visual approval queue where a developer or team lead reviews it before execution continues. The vendor describes integration via Claude Code’s PreToolUse hook and an MCP server for Cursor, Codex, VS Code Copilot, and Gemini CLI.
The evaluation engine is deterministic and runs locally — no LLM forward pass, no network round-trip. The vendor states the engine resolves in approximately 85 ms and publishes a benchmark called SHAKEDOWN, which replayed 324 attack tasks across 9 agent harnesses. SigmaShake’s own submission scored 100 on that corpus; competitor rows were modeled from public docs rather than direct measurement, which is a methodological detail worth noting when weighing the comparison.
The tool fits teams who have already adopted an AI coding agent and now need an audit trail, a cost-containment layer, or a way to enforce policy without rewriting their agent’s prompt. It does not fit teams building custom agent runtimes who need a programmable SDK — there is no API surface for embedding checks inside your own orchestration code. Teams in that situation end up wrapping the CLI, which works but adds a process-boundary to every call.
Installation splits into a desktop app (Windows, macOS, Linux) and a CLI binary. The desktop app exposes a visual approval queue, system tray status, and a live dashboard. Both paths run the same underlying binary, so rules and audit logs are consistent regardless of which surface a team member uses. Fleet management for teams is a paid-only feature.