why
Warn
Audited by Gen Agent Trust Hub on Sep 30, 2026
Risk Level: MEDIUMPRIVILEGE_ESCALATIONINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTIONDYNAMIC_EXECUTION
Full Analysis
- [PRIVILEGE_ESCALATION]: The skill instructions in
SKILL.mdexplicitly direct the agent to override its default security and permission profile by settingsettings.modeIdtofull-access(for Codex) orbypassPermissions(for Claude). This is a direct attempt to escalate the agent's capabilities beyond standard safety constraints. - [INDIRECT_PROMPT_INJECTION]: The skill operates by ingesting and synthesizing data from numerous external, untrusted sources, creating a high-risk surface for indirect prompt injection.
- Ingestion points: The skill reads pull request comments (
references/sources/code-archaeology.md), issue tracker tickets (references/sources/linear.md), real-time chat messages from Slack or Teams (references/sources/slack.md), and long-form documentation from Notion (references/sources/notion.md). - Boundary markers: There are no explicit instructions or delimiters provided to the subagents to distinguish between legitimate data and potential malicious instructions embedded within the external sources.
- Capability inventory: The agent has the capability to execute shell commands (
git,gh), perform SQL queries (databricks.md), and spawn subagents with elevated permissions, which could be abused if an attacker places malicious instructions in a processed chat or ticket. - Sanitization: No evidence of sanitization, filtering, or validation is present before data from external sources is passed to the synthesis agent.
- [COMMAND_EXECUTION]: The skill makes extensive use of shell commands in
SKILL.mdto establish context, includinggit blame,git log,gh pr view, andclaude mcp list. These commands interact with the local environment and provider configuration. - [DYNAMIC_EXECUTION]: The
references/sources/databricks.mdcomponent generates and executes dynamic SQL queries using theexecute_sql_read_onlytool. This involves runtime assembly of executable database code based on agent interpretation of the user's question.
Audit Metadata