neural-status — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited neural-status (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Check the health and freshness of the neural memory index.
Via MCP tool (neural-memory configured as MCP server in Claude Code):
Tool: neural_status
{}Via Python (working directly in the project):
import asyncio
from neural_memory.server import neural_status, StatusInput
asyncio.run(neural_status(StatusInput()))StatusInput has no required fields. Pass project_root="." to be explicit.
Windows: runpython -X utf8(or setPYTHONUTF8=1) to avoid cp1252 encoding errors from Unicode output. Applies to all neural commands.
The neural agent runs this check automatically and will suggest:
/neural-index if no index exists/neural-update if the index is stale (default: 5+ commits behind)~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.