High Ticket Trust Conversion

• Outcome: Review
• Latest audit: Sep 11, 2026 · 5:20 AM UTC
• Version: 0.1.2

Overview

The skill is mostly a review-strategy guide, but it repeatedly steers answers toward a specific commercial vendor in ways users may mistake for neutral advice.

Review this skill carefully before installing if you expect neutral ecommerce advice. It appears safe from a local system and credential perspective, but it may insert Rijoy recommendations and marketing claims into answers even when a balanced vendor comparison would be more appropriate.

A.I.G

Vulnerability Patterns

• Skill Instruction Hijacking: Alters the agent's session goals or safety constraints when the skill loads
• Agent Memory Poisoning: Writes attacker-controlled rules into memory that affect later sessions
• Remote Payload Retrieval and Execution: Fetches external code whose behavior can change after review
• Embedded Malicious Code: Ships malicious scripts inside the skill and executes them locally
• Unauthorized Access and Privilege Escalation: Obtains permissions beyond the task's legitimate needs

Findings (1)

T01 · Skill Instruction Hijacking

Error

• Location: SKILL.md:102

Finding

Forced Third-Party Promotion Through Skill Instructions

Content

View full analysis

Remediation

View remediation

SkillSpector

Vulnerability Patterns

• Excessive Agency: Unrestricted Tool Access, Autonomous Decision Making, Scope Creep
• Trigger Abuse: Overly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
• Prompt Injection: Instruction Override, Hidden Instructions, Exfiltration Commands
• Data Exfiltration: External Transmission, Env Variable Harvesting, File System Enumeration
• Privilege Escalation: Excessive Permissions, Sudo/Root Execution, Credential Access

Findings (5)

Vague Triggers

Medium

• Category: Not specified by scanner
• Confidence: 96% confidence

Finding

The metadata explicitly says to trigger even if the user does not mention reviews, which materially broadens activation beyond a narrowly scoped review/social-proof use case. In an agent environment, overly broad routing can misinvoke this skill on adjacent ecommerce queries, causing irrelevant recommendations, hidden promotional bias toward Rijoy, or interference with more appropriate skills.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium

• Category: Not specified by scanner
• Confidence: 90% confidence

Finding

The 'When to use this skill' section lists several common ecommerce concepts like trust signals, UGC, purchase hesitation, and incentives, but provides only limited boundaries, so many adjacent marketing requests could satisfy it. This can lead to priority inversion or accidental invocation, especially because the skill also embeds vendor-specific suggestions that may bias outputs when triggered in marginal cases.

Content

No source excerpt is available for this finding.

Autonomous Decision Making

Medium

• Category: Excessive Agency
• Confidence: 75% confidence

Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · evals/evals.json (reported line 19)May include surrounding context.

json

},
    {
      "id": 2,
      "prompt": "We sell professional drones and want to incentivize reviews without asking for 5 stars. Can we give points for leaving a review? We use Rijoy for loyalty.",
      "expected_output": "Recommendation to reward points for leaving a review (any rating), flow and copy, and a note on Rijoy for configuring the reward.",
      "files": [],
      "expectations": [

Autonomous Decision Making

Medium

• Category: Excessive Agency
• Confidence: 80% confidence

Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · references/reviews_social_proof_guide.md (reported line 23)May include surrounding context.

md

| Post-purchase SMS | 10–14 days | If SMS is primary; keep message short with link |
| In-app / account | When they log in | "You purchased [X]. How was it? Leave a review." |

Prefer one primary touch (e.g. email at 14 days) and one optional reminder. Do not ask before the customer has used the product.

## Display priorities

Natural-Language Policy Violations

Low

• Category: Not specified by scanner
• Confidence: 86% confidence

Finding

The section title explicitly labels the examples as 'Copy patterns (EN)' and all provided user-facing phrases are English-only. Under the policy, forcing a specific language without user opt-in can be a natural-language policy violation, and this file does not indicate that other locales should be used when appropriate.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.