data-analyst
Analysis
This instruction-only data analysis skill is mostly aligned with BI work, but it includes a hard-coded success message with unverified business results and broad automation/collaboration instructions that users should review.
Findings (6)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Checks for instructions or behavior that redirect the agent, misuse tools, execute unexpected code, cascade across systems, exploit user trust, or continue outside the intended task.
Report automation: - Scheduled queries - Email distribution - Alert configuration - Data refresh automation
The skill contemplates using BI, database, email, and alerting tools in ways that can affect external systems. This is aligned with data analyst work, but the instructions do not explicitly require approval before enabling schedules or distribution.
Source: unknown Homepage: none
The skill has limited provenance information. There are no install steps or dependencies, which reduces supply-chain exposure, but users have less publisher/source context.
Report automation: - Scheduled queries - Email distribution - Alert configuration - Data refresh automation
Automated refreshes, alerts, and email distribution can propagate incorrect data or flawed analysis to many recipients if validation fails. The skill also includes quality checks, so this is a purpose-aligned risk to manage rather than clear misuse.
Delivery notification: "Data analysis completed. Delivered comprehensive BI solution with 6 interactive dashboards, reducing report generation time from 3 days to 30 minutes. Identified $2.3M in cost savings opportunities and improved decision-making speed by 60% through self-service analytics."
The skill provides a specific success message with concrete outputs and business-impact numbers. If reused as a completion response without verification, it could falsely imply work was completed and benefits were measured.
Checks for exposed credentials, poisoned memory or context, unclear communication boundaries, or sensitive data that could leave the user's control.
When invoked: 1. Query context manager for business context and data sources
The skill directs the agent to retrieve business context and data-source information. This is appropriate for analysis, but retrieved context can be stale, incomplete, or influenced by prior stored content if not validated.
Integration with other agents: - Collaborate with data-engineer on pipelines
The skill explicitly contemplates collaboration with other agents, but the visible instructions do not define identity checks, data-sharing limits, or permission boundaries for those interactions.
