transcript-analysis
Fail
Audited by Gen Agent Trust Hub on Mar 29, 2026
Risk Level: HIGHDATA_EXFILTRATIONCOMMAND_EXECUTIONPROMPT_INJECTION
Full Analysis
- [DATA_EXFILTRATION]: The skill explicitly targets the
~/.claude/projects/directory, which serves as the storage for Claude Code session transcripts. These files contain highly sensitive data, including full conversation histories, source code snippets, terminal logs, and internal agent reasoning. - Evidence: The skill instructions specify the location of transcripts under
~/.claude/projects/and provide a schema for parsing all record types in the JSONL files (SKILL.md). - [DATA_EXFILTRATION]: The skill facilitates the use of the
kaizen-duckdbMCP tool, which is identified as a MotherDuck integration. Because MotherDuck is a cloud-native database service, performing arbitrary SQL queries on sensitive local transcripts through this tool creates a pathway for data exfiltration to a remote platform. - Evidence:
references/duckdb-queries.mdexplicitly references the MotherDuck MCP server and theexecute_querytool for analyzing local transcripts. - [COMMAND_EXECUTION]: The agent is instructed to execute arbitrary DuckDB SQL queries via the
execute_querytool. This capability allows for complex data extraction and manipulation of the sensitive JSONL files located on the user's filesystem. - [PROMPT_INJECTION]: The skill exhibits a significant attack surface for indirect prompt injection as it processes untrusted data from session transcripts without sufficient safety controls.
- Ingestion points: Transcript JSONL files containing user-generated prompts and tool outputs (SKILL.md).
- Boundary markers: Absent; the instructions do not suggest using delimiters or explicit markers to prevent the agent from obeying instructions embedded within the transcript data.
- Capability inventory: The skill utilizes high-capability tools including
kaizen-duckdbexecute_query(arbitrary SQL) and specializedkaizen-analysisprocess mining tools. - Sanitization: Absent; there are no guidelines for validating or sanitizing the content extracted from transcripts before it is used to drive agent decisions or analysis output.
Recommendations
- AI detected serious security threats
Audit Metadata