← Back to Skills Marketplace
sliday

Tamp

by Stas Kulesh · GitHub ↗ · v1.3.0 · MIT-0
cross-platform ⚠ suspicious
113
Downloads
0
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install tamp
Description
Set up Tamp token compression proxy for OpenClaw to reduce Anthropic API input token costs. Use when the user asks to save tokens, reduce API costs, set up t...
Usage Guidance
This skill is coherent with its stated goal of running a local Tamp proxy. Before installing: (1) review and pin the npm package version (or clone and build from the GitHub repo) to ensure there is no unexpected telemetry or exfiltration; (2) remember the proxy will see your Anthropic API key in request headers — run it only on localhost or inside a locked-down container/VM and do not bind it to an external interface; (3) if you run as a service, run under an unprivileged user and inspect logs to ensure keys are not written; (4) consider adding an upstream (direct Anthropic) fallback and monitor requests until you trust the behavior. If you want higher assurance, audit the tamp source code (the skill itself provides the repository link) before using it in production.
Capability Analysis
Type: OpenClaw Skill Name: tamp Version: 1.3.0 The skill instructions in SKILL.md direct the agent to install a third-party Node.js proxy (@sliday/tamp) and route all Anthropic API traffic, including sensitive API keys, through it. It also establishes persistence by creating a systemd user service (~/.config/systemd/user/tamp.service). While the stated purpose of token compression for cost savings is plausible, the introduction of a Man-in-the-Middle (MitM) component for sensitive credentials and the automated setup of background persistence are high-risk behaviors that warrant caution.
Capability Assessment
Purpose & Capability
Name and description match the instructions: the SKILL.md only explains installing and configuring a local Tamp proxy and wiring OpenClaw to route requests through it. Nothing requested by the skill (no unrelated credentials, binaries, or config paths) is disproportionate to this purpose.
Instruction Scope
Instructions stay on-purpose (install via npm/npx or from git, run tamp, add a systemd user service, and update OpenClaw provider settings). One important operational detail: the proxy forwards the x-api-key/Authorization header upstream unchanged, so the tamp process will see the API key in requests (in-memory and potentially in logs if configured). The SKILL.md claims Tamp does not store or log keys and is local-only, but those claims are assertions you should verify by inspecting the package source or runtime behavior.
Install Mechanism
No automated install spec in the registry entry (instruction-only). The instructions recommend installing a pinned npm package (@sliday/[email protected]) or running via npx, and optionally building from git. Using npm/@npmjs registry is expected for this task, but it does fetch code from a third-party package registry—audit or pin the package and consider building from the repository if you need higher assurance.
Credentials
The skill declares no required env vars in metadata, which is consistent with being instruction-only. The README does tell you to ensure your Anthropic API key is present in your OpenClaw config so that OpenClaw forwards it to Tamp. That is proportionate to the purpose, but remember the proxy will observe the header values in transit even if it doesn't persist them—treat the proxy as a component that has access to your API key.
Persistence & Privilege
always:false and no autonomous escalation flags. Persisting Tamp as a systemd user service is a user-chosen deployment step described in the instructions (expected for long-running local proxies). The skill does not request system-wide privileges or modify other skills' configuration beyond telling you to update OpenClaw's provider settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install tamp
  3. After installation, invoke the skill by name or use /tamp
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.3.0
Added Security Notes section: API key forwarding, localhost-only binding, no telemetry.
v1.2.0
Security notes: API key forwarding, open source audit path, pinned version install, lossy/lossless stage table, prune stage docs.
v1.1.0
Updated with full setup guide, systemd service config, and compression stage details from real-world usage.
v1.0.0
Token compression proxy for OpenClaw. Saves 3-50% on Anthropic input tokens.
Metadata
Slug tamp
Version 1.3.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 4
Frequently Asked Questions

What is Tamp?

Set up Tamp token compression proxy for OpenClaw to reduce Anthropic API input token costs. Use when the user asks to save tokens, reduce API costs, set up t... It is an AI Agent Skill for Claude Code / OpenClaw, with 113 downloads so far.

How do I install Tamp?

Run "/install tamp" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Tamp free?

Yes, Tamp is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Tamp support?

Tamp is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Tamp?

It is built and maintained by Stas Kulesh (@sliday); the current version is v1.3.0.

💬 Comments