skill-tuning

Warn

Audited by Socket on Sep 3, 2026

2 alerts found:

Anomalyx2
AnomalyLOW
phases/orchestrator.md

No direct malware behavior is evidenced in this fragment (no shell execution, network calls, credential access, or obfuscated payloads). However, the orchestrator has meaningful supply-chain/agentic trust boundary risks: (1) dynamic template file reads driven by `actionId` without visible allowlisting, (2) exposing the full local `state.json` path in the Agent prompt, (3) persisting unvalidated `actionResult.stateUpdates` from an external Agent into `state.json`, which can poison subsequent workflow decisions and cause integrity/DoS issues. Overall, treat this as a medium security risk primarily focused on data exposure and state integrity rather than confirmed malicious code.

Confidence: 62%Severity: 55%
AnomalyLOW
phases/actions/action-apply-fix.md

No clear evidence of overt malware behavior is present in the provided fragment (no network/exfiltration, command execution, secrets handling, or obfuscation observed). However, this module performs a sensitive recursive filesystem restore by computing destination paths from backup-derived path strings and writing contents accordingly. Without visible normalization/containment/symlink safeguards, there is a meaningful integrity risk of writing outside the intended `${targetPath}` (e.g., via path derivation mistakes or symlink escape) during rollback. Review the unshown `Read`/`Write`, globbing implementation, and ensure strong destination-path enforcement (canonicalization + containment) before deployment.

Confidence: 42%Severity: 58%
Audit Metadata
Analyzed At
Sep 3, 2026, 12:17 PM
Package URL
pkg:socket/skills-sh/catlog22%2Fmaestro-flow%2Fskill-tuning%2F@1aa9dca5aea0e72adbdbd5260f1c222b3aedff50340acf78302b47c09a3ae120