sharing-skills — agentic threat model
The sharing-skills agent presents a significant supply chain risk due to its ability to execute git and GitHub commands to push code and open pull requests. Without strict sandboxing and human-in-the-loop verification, a compromise could lead to unauthorized repository access or the injection of malicious code into community repositories.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.50 | |
| 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.
Not certain from the listing — The specific foundation model is not detailed. Standard LLM vulnerabilities like prompt injection could manipulate the agent into generating malicious code or altering PR descriptions to deceive reviewers.
Not certain from the listing — The mechanism for storing and retrieving community-repo conventions or sharing guidance is unspecified, leaving potential gaps in data integrity or knowledge-base poisoning.
The agent framework orchestrates git and GitHub CLI tool execution. Insecure tool integration or prompt injection could lead to tool misuse, such as executing arbitrary shell commands or pushing unauthorized code changes.
Not certain from the listing — The execution environment is not described. If the agent runs git/gh commands without strict container sandboxing, a compromise could expose host credentials, SSH keys, or GitHub personal access tokens.
Not certain from the listing — There is no mention of logging, guardrails, or evaluation mechanisms to monitor the code changes or PRs generated by the agent before they are pushed.
Not certain from the listing — The policy and authorization model for managing GitHub credentials (e.g., scoping token permissions to minimum viable access) is not defined in the public listing.
The agent directly impacts the broader ecosystem by contributing code back to community repositories. A compromised agent could introduce vulnerabilities or backdoors into other agents' skills, leading to cascading supply chain failures.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).