Dangerous: tirith - rule_explanations.toml | Skillgate

Skillgate scanned crates/tirith-core/assets/data/rule_explanations.toml in tirith and rated it Dangerous with a risk score of 100/100 (15 detections).

Skillgate found one or more attack-shaped patterns - the kind used for credential exfiltration, remote code execution, or instruction hijack. Do not load this file into an agent without reading it end to end.

What was found

• SG-002 Credential Exfiltration - CRITICAL: Env var reads of sensitive credentials combined with outbound HTTP calls
• SG-004 Policy Override - CRITICAL: Patterns that instruct the AI to ignore guidelines or take a new persona
• SG-019 Environment Probing - CRITICAL: System enumeration commands: whoami, uname, env dump, process listing, cloud IMDS probes
• SG-027 Lateral Movement - CRITICAL: AWS/GCP/Azure cross-account pivots, SSH lateral movement, CI/CD token abuse, port forwarding
• SG-033 Container Escape Surface - CRITICAL: Privileged container, docker.sock mount, sensitive hostPath
• SG-008 Data Exfiltration Pattern - HIGH: Webhook URLs, IP-based URLs, DNS exfiltration patterns
• SG-019 Environment Probing - HIGH: System enumeration commands: whoami, uname, env dump, process listing, cloud IMDS probes
• SG-020 Persistence Mechanism - HIGH: Crontab, rc files, systemd, LaunchAgents, SSH key injection, registry run keys
• SG-028 File Exfiltration - HIGH (2x): Bulk file reads, credential file access, data staging via tar/zip/rsync/S3 upload
• SG-012 Suspicious URL - MEDIUM (4x): HTTP URLs, IP-address URLs, non-standard ports, URL shorteners
• SG-022 Context Window Flooding - MEDIUM: Repetitive filler text, context boundary spoofing, excessive separators

What to do

Read the flagged lines in the source file yourself before installing it or letting an agent load it. Every detection above links to the rule that fired, with the conditions that trigger it and remediation where one exists. Open the interactive report for evidence lines and context.

About Skillgate

Skillgate is a free scanner from Mitiga Labs for AI agent skills, hooks, MCP configs, and instruction files (SKILL.md, CLAUDE.md, AGENTS.md, .cursorrules, .claude/settings.json). It runs static rules plus an LLM judge and maps each finding to a known attack technique. Static analysis only: it never executes the file it scans. No scanner is 100% accurate - a verdict is a signal, not a guarantee. Browse all detection rules.