Data Storytelling

ReviewAudited by ClawScan on May 10, 2026.

Overview

Prompt-injection indicators were detected in the submitted artifacts (unicode-control-chars); human review is required before treating this skill as clean.

This skill appears safe to use as a presentation-writing aid. Before installing, inspect the raw SKILL.md because of the Unicode-control-character signal, and when using the skill, verify the data and assumptions behind any persuasive recommendation. ClawScan detected prompt-injection indicators (unicode-control-chars), so this skill requires review even though the model response was benign.

Findings (2)

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.

NoteMedium Confidence
ASI01: Agent Goal Hijack
What this means

The original file may contain hard-to-see formatting that is difficult for a user to inspect, but no concrete unsafe instruction is visible in the provided artifact.

Why it was flagged

The neutralized artifact reports that Unicode control characters were removed from SKILL.md. Such characters can sometimes obscure text or affect how instructions are displayed, although the visible content does not show any goal override.

Skill content
"controlCharactersRemoved": 80
Recommendation

If installing, review the raw SKILL.md from a trusted source and reject it if hidden text changes the visible instructions.

What this means

Outputs may sound authoritative and could influence business decisions if the underlying data, assumptions, or recommendations are not checked.

Why it was flagged

The skill is explicitly designed to create persuasive stakeholder narratives. This is disclosed and purpose-aligned, but users should ensure the agent does not overstate conclusions or present example numbers as verified facts.

Skill content
"Transform raw data into compelling narratives that drive decisions and inspire action."
Recommendation

Use verified data, label assumptions clearly, and review any recommendations before sharing with stakeholders or approving budgets.