personal-ai-operations-review

Performs read-only operations reviews of Personal AI and DSH infrastructure health.

3|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/ooooooooooooooooooop/personal-ai --skill personal-ai-operations-review-ooooooooooooooooooop
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: personal-ai-operations-review
Source: https://github.com/ooooooooooooooooooop/personal-ai/tree/main/skills/personal-ai-operations-review
Command: npx skills add https://github.com/ooooooooooooooooooop/personal-ai --skill personal-ai-operations-review-ooooooooooooooooooop

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires zstandard, and includes scripts (resource) components.

What problem does it solve? It answers whether a Personal AI / DSH infrastructure in OPERATIONS MODE is healthy, which issues need human attention, and which are only known external blockers, without silently mutating canonical state to make reports look green. ## Core Features & Use Cases - Multi-domain status aggregation: Runs existing checks for governance, durability (RPO/backup age), aic drift across harness targets, open proposals, and personalization behavior metrics, then classifies the overall result as NO ACTION, REVIEW, ACTION REQUIRED, or EXTERNAL BLOCKER. - Evidence freshness contract: Every domain reports both a status (HEALTHY/DEGRADED/BLOCKED/UNKNOWN) and an evidence state (CURRENT/LAST_KNOWN/UNAVAILABLE), so stale baselines are never passed off as live measurements. - Personalization behavior monitoring: Computes correction rate, repeat-correction sessions, over-personalization, and scope leakage from real DSH session messages, comparing against a calibration baseline report. - Use Case: Ask whether the system is healthy before an upgrade; the review distinguishes a real backup RPO breach from a known privacy-blocked repo push and only flags ACTION REQUIRED for genuinely new failures. ## Quick Start Use the personal-ai-operations-review skill to run a read-only health review of my Personal AI infrastructure and tell me whether anything needs action.

Frequently Asked Questions about personal-ai-operations-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check the health of my Personal AI infrastructure?

Run the review workflow, which executes personal_status.py, aic validate and aic diff per harness target, rpo_check.py for durability, governance checks, and personalization_status.py. It outputs per-domain status plus an overall verdict of NO ACTION, REVIEW, ACTION REQUIRED, or EXTERNAL BLOCKER.

How is personalization regression detected from DSH sessions?

extract_user_msgs.py pulls real user messages from DSH session.jsonl.zstd files, then behavior_metrics.py computes correction rate and repeat-correction sessions. personalization_status.py compares these against the calibration baseline report and flags DEGRADED when the correction rate exceeds 1.5x baseline.

Does this review modify my canonical configuration or memory?

No. The review is strictly read-only: it never calls aic apply, never writes canonical state, never pushes repos, and never admits models or changes preferences. Findings that need changes are routed into the existing proposal and implementation workflow instead.

Why does a domain show UNKNOWN instead of HEALTHY?

UNKNOWN appears when live checks fail due to sandbox, permission, or missing-path limitations and no verified historical evidence exists. With a prior baseline it reports LAST_KNOWN instead, and it never presents stale snapshots as current measurements.

What is the difference between a backup RPO breach and a privacy blocker?

BACKUP_RPO_AGE_BREACH means session, broker, or config backups exceeded their recovery point objective and triggers ACTION REQUIRED. A KNOWN_PRIVACY_BLOCKER means a repo push was intentionally blocked for unsanitized content, which is classified as an external blocker, not a backup failure.