markit-markdown-converter
Fail
Audited by Gen Agent Trust Hub on Mar 27, 2026
Risk Level: HIGHREMOTE_CODE_EXECUTIONEXTERNAL_DOWNLOADSPROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
- [REMOTE_CODE_EXECUTION]: The skill's plugin system allows for the installation and execution of code from unverified remote sources.
- Evidence: The command
markit plugin install git:github.com/user/markit-plugin-ocrfetches and executes code directly from an arbitrary GitHub repository. - Evidence: The command
markit plugin install npm:markit-plugin-dwgallows installing unversioned packages from the npm registry, which may execute arbitrary code during the installation or runtime phases. - [EXTERNAL_DOWNLOADS]: The skill performs network requests to arbitrary external domains for content conversion and plugin retrieval.
- Evidence: CLI commands like
markit https://example.com/articlefetch data from user-supplied URLs to the local environment. - Evidence: Network retrieval of plugins from GitHub and npm registries occurs during the plugin installation process.
- [PROMPT_INJECTION]: The skill is highly vulnerable to indirect prompt injection due to its core function of ingesting untrusted data.
- Ingestion points: External URLs, PDF files, Word documents, images, and audio files are processed and converted into text.
- Boundary markers: None. The skill does not implement delimiters or instructions to prevent the agent from obeying instructions embedded within the converted content.
- Capability inventory: The skill has access to the local file system (via
markit -o), network fetch capabilities, and the ability to execute code via plugins. - Sanitization: No sanitization or instruction filtering is performed on the content retrieved from external sources before it is converted to markdown for agent consumption.
- [COMMAND_EXECUTION]: The skill relies on global installation and CLI execution, which can lead to unintended system changes.
- Evidence: Instructions for
npm install -g markit-aiand local configuration viamarkit initinvolve file system modifications and administrative-level package management.
Recommendations
- AI detected serious security threats
Audit Metadata