show-me-the-money
Warn
Audited by Gen Agent Trust Hub on Nov 6, 2026
Risk Level: MEDIUMCOMMAND_EXECUTIONDATA_EXFILTRATIONINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTION
Full Analysis
- [COMMAND_EXECUTION]: The skill instructions direct the agent to execute a variety of shell commands including
sqlite3,jq,git,awk, and theagy(Antigravity) CLI tool to perform data mining and process results. - [DATA_EXFILTRATION]: The skill accesses highly sensitive private data, including local conversation databases (
conversation_summaries.db) and raw transcript logs (transcript.jsonl). While intended for local mining, this involves reading the entirety of a user's interaction history. - [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process untrusted data from past interactions and source control logs.
- Ingestion points: Historical conversation transcripts and
git logoutputs are read from the file system (SKILL.md). - Boundary markers: The skill uses basic prompt instructions to direct the
agyworker, but fails to use robust delimiters to isolate the untrusted data from the system instructions. - Capability inventory: The skill has access to the local file system, git history, and the ability to execute shell commands and spawn sub-workers.
- Sanitization: There is no evidence of sanitization or filtering of the content retrieved from transcripts before it is passed to the next stage of the workflow.
- [DYNAMIC_EXECUTION]: The 'Map' step constructs a shell command where the
${FLOW}variable (containing raw transcript content) is interpolated directly into a double-quoted string. Because this content originates from past user inputs and LLM responses, it could contain shell-special characters (like backticks or subshell syntax) that may lead to arbitrary command execution on the host machine.
Audit Metadata