by Cygnux-Labs · MCP Server · ★ 149
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install tracekit-aiTaken from the project's README on GitHub. Check the security audit before running it.
Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 149 |
| Forks | 13 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64/100 |
| Open Issues | 11 |
| Last Updated | 2026-10-22 |
| Created | 2026-09-26 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~16k |
Tracekit Tamper-evident records of what your AI agents actually did. Every tool call is checked against your policy before it runs, then signed and hash-chained by a signer the agent cannot control. Change, delete or reorder anything afterwards and verification fails. Why Agents run commands, edit files and call APIs with your permissions.
Looking for a Tracekit alternative? If you're comparing Tracekit with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The Operating System for Scalable Enterprise AI Agents - Run, orchestrate, and deploy Compliant Enterprise AI
Tamper-evident audit trails for AI agents: hash-chained Runtime Records, dependency-free, verifiable by anyone
The open-source AI agent control plane and software factory: govern every tool and model call.
Python and TypeScript SDKs for verifiable evidence of AI agent actions. Signed receipts, policy enforcement, a
Runtime policy enforcement for AI agents. Cryptographic audit trail, human-in-the-loop approvals, kill switch.
The Complete AI Development Toolkit for Claude Code. 106 skills, 36 agents, 171 hooks. Install `ork` for stabl
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: