keep-codex-fast-maintenance
Fail
Audited by Gen Agent Trust Hub on Sep 16, 2026
Risk Level: HIGHEXTERNAL_DOWNLOADSREMOTE_CODE_EXECUTIONCOMMAND_EXECUTIONDYNAMIC_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill references and encourages the download of a repository from an untrusted external source (
github.com/vibeforge1111/keep-codex-fast.git). The account 'vibeforge1111' is not verified or associated with the stated skill author ('reason-machines' or 'ara.so'). - [REMOTE_CODE_EXECUTION]: The skill requires running
python scripts/keep_codex_fast.py, which is part of the externally downloaded package. This constitutes the execution of untrusted remote code on the local machine with user-level permissions. - [COMMAND_EXECUTION]: The maintenance functionality relies on executing shell commands and Python's
subprocessmodule to manipulate the local file system, interact with system processes, and modify database states. - [DYNAMIC_EXECUTION]: Code snippets within the skill demonstrate the use of
sys.path.insertto dynamically load modules from computed paths andsubprocess.runto execute external scripts, which is a pattern often used to hide or inject malicious logic at runtime. - [INDIRECT_PROMPT_INJECTION]: The skill has a surface for indirect prompt injection because it processes local SQLite databases (
state_5.sqlite,logs_2.sqlite) which contain untrusted content from past chat interactions. - Ingestion points: The skill reads and parses chat session metadata and log files through the
scripts/keep_codex_fast.pyscript. - Boundary markers: No delimiters or safety instructions are provided to the processing script to distinguish between data and potential commands within the logs.
- Capability inventory: The skill possesses the ability to move worktrees, archive folders, modify database fields (title/preview), and execute subprocesses.
- Sanitization: There is no evidence of validation or sanitization of the database content before it is processed or modified by the script.
Recommendations
- AI detected serious security threats
Audit Metadata