dev
Fail
Audited by Gen Agent Trust Hub on Apr 15, 2026
Risk Level: HIGHEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONDATA_EXFILTRATIONPROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill frequently invokes
npx @codevoyant/agent-kitacross multiple workflow files (allow.md, approve.md, docs.md, plan.md, pr-fix.md). This namespace ('codevoyant') differs from the declared author name ('cloudvoyant') provided in the skill context. This character substitution is a known pattern for supply chain attacks like typosquatting. - [COMMAND_EXECUTION]: The skill uses shell commands for core logic, including
npx,git,gh(GitHub CLI), andglab(GitLab CLI). The execution of the suspicious@codevoyant/agent-kitpackage vianpxpresents a high risk of arbitrary code execution if the package is malicious. - [DATA_EXFILTRATION]: In
agents/linear-tasks-agent.md, the skill reads local architectural plans and task breakdowns, extracts metadata usinggit remote -v, and transmits this data to the Linear API viasave_issueandcreate_attachment. While this is functional for the 'approve' workflow, it represents a path where sensitive internal project data is sent to a third-party service. - [PROMPT_INJECTION]: The skill exhibits a significant surface for indirect prompt injection across several workflows:
- Ingestion points: Untrusted data enters the context via
git cloneindiff.md, web scraping (WebFetch,WebSearch) inresearcher.md, and pull request review comment fetching inpr-fix.md. - Boundary markers: None. External content from remote repos and web pages is read and processed without delimiters or instructions to ignore embedded commands.
- Capability inventory: The skill has high-privilege capabilities including file system writes (
Write), shell command execution (git,gh,glab,npx), and the ability to spawn sub-agents with specific model configurations. - Sanitization: None. The skill does not perform validation or sanitization on content retrieved from external sources before passing it to sub-agents for analysis and proposal generation.
Recommendations
- AI detected serious security threats
Audit Metadata