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Airtable Skills — agentic threat model

8.6AIVSS 8.6 · High

The Airtable Skills agent acts as an official bridge to read and write records in Airtable bases via an MCP server, presenting moderate-to-high risk due to direct database modification capabilities without built-in security guardrails mentioned in the listing.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 1.05Factor sum 4.0/10Threat ×1.05Mitigation ×1.0
Autonomy of Action
0.60
Goal-Driven Planning
0.40
Self-Modification
0.00
Dynamic Tool Use
0.70
Persistent Memory
0.20
Contextual Awareness
0.50
Dynamic Identity
0.30
Multi-Agent Interactions
0.40
Non-Determinism
0.50
Opacity & Reflexivity
0.40

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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — The plugin is model-agnostic and relies on external LLMs. It is susceptible to prompt injection attacks that could trick the underlying model into executing unauthorized database operations.

L2 · Data Operations✓ mapped

The agent has direct read/write access to Airtable bases. This introduces risks of data exfiltration, unauthorized record modification, or database poisoning if malicious inputs are processed and written to the base.

L3 · Agent Frameworks✓ mapped

The agent uses an MCP (Model Context Protocol) server and 3 specific skills to guide API usage. Vulnerabilities here include tool misuse or insecure tool integration if the MCP server does not strictly validate schema inputs.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — The deployment environment of the MCP server and how API keys/secrets for Airtable are stored and sandboxed is not specified, presenting potential credential exposure risks.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — There is no mention of built-in logging, transaction dry-runs, or guardrails to monitor and audit the database modifications performed by the agent.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — It is unclear how user authentication and authorization (OAuth vs static API tokens) are mapped to Airtable's base-level permissions to prevent privilege escalation.

L7 · Agent Ecosystem✓ mapped

As an open-source plugin and MCP server, it is designed to be integrated into broader multi-agent workflows, creating a risk of cascading failures if another compromised agent invokes these Airtable skills maliciously.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).