Elite To Expertpack

PassAudited by ClawScan on May 10, 2026.

Overview

This appears to be a coherent local converter for Elite memory data, but users should review the exported knowledge pack carefully before sharing or publishing it.

This skill looks benign for local memory migration. Before using it, choose a safe output folder, install PyYAML only from a trusted source if needed, and manually review the generated ExpertPack before syncing, committing, importing, or publishing it.

Findings (3)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

What this means

Private memories, preferences, project details, or other sensitive knowledge may be preserved in the exported ExpertPack and reused later.

Why it was flagged

The skill intentionally converts agent memory into a portable, structured knowledge pack that can be reused as context.

Skill content
backing up agent knowledge... Output is Obsidian-compatible... manifest.yaml (with context tiers...)
Recommendation

Review the generated files before importing, syncing, committing, or publishing the pack, and redact anything private or stale.

What this means

A user could over-trust the secret stripping and publish memory content that is sensitive even if it does not match the built-in secret patterns.

Why it was flagged

The documentation pairs automated redaction with a publishing step; redaction helps but should not be treated as proof the exported memory is safe to publish.

Skill content
Secrets are automatically stripped (sk-*, ghp_*, tokens, passwords)... Commit to git and publish to ClawHub
Recommendation

Treat automatic redaction as a helper only. Manually inspect the full output before committing or publishing it.

What this means

Users may need to install an undeclared Python package manually before the converter works.

Why it was flagged

The script depends on PyYAML, but the registry requirements only declare python3 and there is no install spec.

Skill content
import yaml... Error: pyyaml required. Install with: pip install pyyaml
Recommendation

Install dependencies from a trusted package source and consider pinning PyYAML in a requirements file for reproducibility.