fablecodex-workflow
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 instructs the user to install a plugin from an external, untrusted source (
baskduf/FableCodex) using thecodex plugin marketplace addcommand. This involves fetching third-party code that is not from a known trusted vendor. - [REMOTE_CODE_EXECUTION]: By adding the plugin via
codex plugin add codex-fable5@fablecodexafter downloading it from an untrusted source, the skill enables the execution of remote code on the local system. - [COMMAND_EXECUTION]: The workflow relies on the execution of shell commands for state management and task verification. The
codex-fable5tool specifically executes command strings provided via the--verify-cmdparameter. - [DYNAMIC_EXECUTION]: The skill implements dynamic execution by allowing arbitrary shell strings to be passed to and run by the
codex-fable5utility (e.g.,codex-fable5 goals checkpoint --verify-cmd "..."). If these commands are generated based on untrusted task descriptions or external findings, they could be exploited. - [INDIRECT_PROMPT_INJECTION]: The skill is vulnerable to indirect prompt injection because it ingests and processes untrusted data as "evidence" and "findings."
- Ingestion points: Data enters the system via the
--evidenceflag infindings addandgoals checkpointcommands, which is then stored in local.jsonfiles. - Boundary markers: There are no explicit delimiters or instructions to the agent to ignore potentially malicious directions embedded within the evidence or finding descriptions.
- Capability inventory: The skill has the capability to execute shell commands (
--verify-cmd) and perform file system writes within the.codex-fable5/directory. - Sanitization: There is no evidence of sanitization or validation of the content provided in these evidence fields before it is used to inform future agent actions or verification steps.
Recommendations
- AI detected serious security threats
Audit Metadata