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Security audit

Capacity Planner

Security checks for vulnerabilities and agentic risk

Overview

This skill is a straightforward capacity-planning guide that asks users to query their own monitoring and cloud metrics, with no hidden execution, persistence, or unrelated data handling found.

Install only if you are comfortable letting the agent help query infrastructure monitoring systems. Review the Prometheus URL, AWS account, and credentials before running commands, because the results can reveal instance names, utilization, disk capacity, and other operational metadata.

A.I.G

Vulnerability Patterns
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
  • Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs

SkillSpector

Vulnerability Patterns
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (4)

External Script Fetching

High
Category
Supply Chain
Confidence
90% confidence
Finding

Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.

Content

Scanner excerpt · SKILL.md (reported line 20)May include surrounding context.

bash
# Prometheus — CPU utilization over last 30 days
curl -s "$PROMETHEUS_URL/api/v1/query_range" \
  --data-urlencode 'query=avg(rate(node_cpu_seconds_total{mode!="idle"}[5m])) by (instance)' \
  --data-urlencode "start=$(date -d '30 days ago' +%s)" \
  --data-urlencode "end=$(date +%s)" \

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · SKILL.md (reported line 20)May include surrounding context.

bash
# Prometheus — CPU utilization over last 30 days
curl -s "$PROMETHEUS_URL/api/v1/query_range" \
  --data-urlencode 'query=avg(rate(node_cpu_seconds_total{mode!="idle"}[5m])) by (instance)' \
  --data-urlencode "start=$(date -d '30 days ago' +%s)" \
  --data-urlencode "end=$(date +%s)" \

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · SKILL.md (reported line 39)May include surrounding context.

md
# Disk usage over time
df -h / /data /var 2>/dev/null
# Historical disk growth (if monitoring available)
curl -s "$PROMETHEUS_URL/api/v1/query_range" \
  --data-urlencode 'query=node_filesystem_avail_bytes{mountpoint="/"}' \
  --data-urlencode "start=$(date -d '30 days ago' +%s)" \
  --data-urlencode "end=$(date +%s)" \

Missing User Warnings

Low
Category
Not specified by scanner
Confidence
81% confidence
Finding

This markdown file instructs users to run curl requests against Prometheus and an AWS CloudWatch CLI command, which can transmit infrastructure details such as instance identifiers, utilization, and account-scoped monitoring data. The skill description does not include any warning about privacy, access scope, or verifying that these commands are appropriate for the target environment.

Content

No source excerpt is available for this finding.