Manifest — agentic threat model
Manifest is a self-hosted, privacy-focused observability tool for monitoring agent costs and telemetry rather than an active autonomous agent itself, presenting a low direct agentic risk profile.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.10 | |
| Opacity & Reflexivity | 0.10 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Not certain from the listing — Manifest is an observability tool that tracks token usage of external LLMs but does not appear to host or run its own foundation models directly.
Not certain from the listing — While it collects telemetry metadata and supports self-hosted deployment, the specific database or storage mechanism used to persist this telemetry is not specified.
Manifest integrates with OpenClaw agent frameworks to ingest telemetry. A threat at this layer includes compromised agent frameworks sending malformed or malicious OTLP payloads to exploit the ingestion parser.
Supports self-hosted deployment, allowing organizations to keep data within their private network. Threats include unauthorized access to the self-hosted container, host compromise, or exposed OTLP endpoints.
This is Manifest's core layer. It provides real-time token tracking, cost observability, and spending alerts. Threats include telemetry evasion (agents bypassing the tracker) and spoofed telemetry leading to false alerts or missed runaway costs.
Manifest enhances compliance and privacy by collecting only telemetry metadata instead of raw prompts or messages, significantly reducing the risk of accidental PII or sensitive data exposure.
Designed to monitor OpenClaw agents. In a multi-agent ecosystem, a rogue or compromised agent could flood Manifest with telemetry data to perform a denial-of-service attack or mask unauthorized API spend.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.