thinking-model-enhancer
ReviewAudited by ClawScan on May 10, 2026.
Overview
Prompt-injection indicators were detected in the submitted artifacts (you-are-now); human review is required before treating this skill as clean.
This looks safe to install if you want a local thinking/memory helper. Be aware that it stores summaries and learning data under ~/.claude/thinking_models, so avoid sensitive inputs or clear the stored memory when needed. Also review and approve any repair commands or scripts it recommends before running them. ClawScan detected prompt-injection indicators (you-are-now), so this skill requires review even though the model response was benign.
Findings (2)
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.
Private decision prompts or summaries could remain on disk and be reused in future thinking-model runs.
The memory manager writes thinking snapshots to a persistent local directory; the same file defines snapshots with problem summaries, output summaries, and key findings.
self.memory_dir = Path.home() / ".claude" / "thinking_models" / "memory" ... json.dump(snapshot.to_dict(), f, ensure_ascii=False, indent=2)
Avoid entering secrets or highly sensitive details unless you are comfortable with local retention, and periodically clear or review the ~/.claude/thinking_models memory files.
Following recommended repair actions without review could change files, configuration, or services outside the thinking skill itself.
The diagnostic workflow can recommend executing fixes or creating repair scripts, which is coherent for troubleshooting but can affect a user's system if followed blindly.
High (>90%) | Multiple sources confirm, tested solution | Recommend immediate execution ... Last Resort: Create temporary fix script (only if all else fails)
Treat these as advisory recommendations; require explicit user approval, review generated scripts, and test changes before running them on important systems.
