← Back to Skills Marketplace
tmstudio667-commits

Agent Token Sentinel

cross-platform ⚠ suspicious
477
Downloads
0
Stars
1
Active Installs
2
Versions
Install in OpenClaw
/install agent-token-sentinel
Description
Real-time cost & quota guardian for AI Agents. It monitors API usage and automatically kills recursive loops or excessive reasoning to protect your wallet. O...
README (SKILL.md)

Agent Token Sentinel

Protect your treasury from runaway AI logic. This skill acts as a financial circuit breaker, ensuring your Agentic workflows stay within budget by monitoring token burn rates and session quotas in real-time.

Features

  • Loop Detection: Automatically kills processes that repeat tasks without measurable progress.
  • Budget Enforcer: Sets hard limits on USD/Token consumption per session.
  • Alert System: Sends high-priority notifications before you hit your quota.

Usage

npx openclaw skill run agent-token-sentinel --cap 5.00

Architect's Note

In 2026, efficiency is not just an optimization; it's survival.

Usage Guidance
This skill reads like a placeholder or marketing stub rather than a working guardian: it promises automatic token/loop control but provides no code, no required credentials, and no concrete runtime instructions. Before installing or relying on it, ask the author for: (1) the implementation (source code) showing how it reads usage metrics and terminates loops, (2) a list of exact permissions or environment variables it needs, and (3) what endpoints it contacts to send alerts. Because it currently lacks transparency, do not treat it as a reliable security control — prefer tools with auditable code, explicit permission requests, and clear install steps. If you must test it, run it in an isolated environment and monitor what the agent actually does (network calls, process control) rather than trusting the description.
Capability Analysis
Type: OpenClaw Skill Name: agent-token-sentinel Version: 1.1.0 The skill bundle contains only metadata and documentation for a cost-management utility designed to monitor AI token usage and prevent recursive loops. No executable code (Python/JS) or suspicious instructions were found in SKILL.md or _meta.json, and the stated functionality is consistent with a standard security/utility tool.
Capability Assessment
Purpose & Capability
The README claims real-time monitoring, loop-killing, quota enforcement and notifications, yet the package declares no binaries, no credentials, no config paths, and contains no code — there is no clear mechanism by which it could perform those actions.
Instruction Scope
SKILL.md is high-level marketing text and a single CLI usage example; it provides no runtime instructions for how to observe API usage, kill processes, or send alerts. That vagueness grants broad, undefined discretion to the agent and is scope-creep (it claims powerful runtime actions but doesn't specify the safe, limited steps to do them).
Install Mechanism
No install spec and no code files are present, which minimizes direct on-disk risk. However, absence of an install mechanism also means the skill can't transparently add the plumbing necessary to perform the claimed monitoring.
Credentials
No environment variables, credentials, or config paths are requested — yet the functionality would normally require access to agent API keys, usage meters, or process control permissions. This mismatch suggests the skill is incomplete or intentionally vague about required privileges.
Persistence & Privilege
always is false (normal) and the skill is user-invocable. It does not declare persistent system modifications, but because its claimed behavior would require elevated access (to agent runtime or tokens), lack of declared privileges is notable. There is currently no evidence it can actually act autonomously on system processes.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install agent-token-sentinel
  3. After installation, invoke the skill by name or use /agent-token-sentinel
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
- Updated category from "Utility" to "Security". - Expanded description for clarity, emphasizing monitoring of token burn rates and session quotas in real-time. - Replaced "Quota Management" with "Budget Enforcer" and detailed USD/Token consumption limits. - Added an "Alert System" feature for high-priority notifications before hitting quotas. - Revised "Architect's Note" to highlight the importance of efficiency in 2026.
v1.0.0
Initial release of Agent Token Sentinel — a real-time AI agent cost and quota protection tool. - Monitors API usage and stops recursive loops or excessive reasoning. - Enforces session token caps to control costs. - Tracks and reports real-time profit and loss analytics. - Simple usage with standardized command-line interface.
Metadata
Slug agent-token-sentinel
Version 1.1.0
License
All-time Installs 1
Active Installs 1
Total Versions 2
Frequently Asked Questions

What is Agent Token Sentinel?

Real-time cost & quota guardian for AI Agents. It monitors API usage and automatically kills recursive loops or excessive reasoning to protect your wallet. O... It is an AI Agent Skill for Claude Code / OpenClaw, with 477 downloads so far.

How do I install Agent Token Sentinel?

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

Is Agent Token Sentinel free?

Yes, Agent Token Sentinel is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Agent Token Sentinel support?

Agent Token Sentinel is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Agent Token Sentinel?

It is built and maintained by System Architect Zero (@tmstudio667-commits); the current version is v1.1.0.

💬 Comments