Detects and obfuscates sensitive data before it reaches AI systems — clipboard, CLI, and MCP server
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Updated
Mar 30, 2026 - Swift
Detects and obfuscates sensitive data before it reaches AI systems — clipboard, CLI, and MCP server
A spectral ClickHouse analyzer that tracks which tables are actually used and by whom. Maps queries to IPs/K8s services, flags dead tables and orphaned MVs, and helps keep your cluster clean and intentional.
Attention-first Kubernetes analysis for incidents, cost, and capacity — deterministic by default, AI-assisted when useful.
Attention-first infrastructure monitoring. Shows only what matters right now — stays silent otherwise.
Reasoning hygiene layer for Claude Code — see what fills your context, what it costs, cut what no longer matters
Ephemeral log mirror for Kubernetes — capture, replay, and analyze with a live TUI
ANCC validator — verify CLI tools follow the Agent-Native CLI Convention
A heartbeat monitor for Apache Airflow — polls REST API and metadata DB, exposes Prometheus metrics, fires alerts
Central aggregator for the Spectre tool family. Collects, stores, and visualizes usage data from VaultSpectre, KafkaSpectre, S3Spectre, PgSpectre, MongoSpectre, and others. Enables cross-system drift detection, dependency mapping, and infra cleanup intelligence.
AWS resource waste auditor — finds idle, orphaned, and oversized resources costing money for nothing
Local-only signal extractor for noisy information streams. Telegram, RSS, Reddit sources. Deterministic keyword scoring, no ML. Terminal-first digest.
S3 auditor for codebases and AWS. Scans repos for S3 bucket/object references, compares against AWS, detects missing buckets, unused buckets, stale objects, and suspicious versioned files.
Cross-cloud IAM auditor — finds unused, over-permissioned, and stale identities across AWS and GCP
Static + runtime Kafka topic auditor. Scans code/config repos for Kafka topic usage, compares with actual cluster metadata, detects missing, unused, or orphaned topics, and produces CI/CD-friendly reports.
A runtime control plane for AI agents that reasons over execution chains and refuses irreversible actions before commitment.
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