No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by alibaba · Claude Skill · ★ 198
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is loongsuite-pilot safe to install? View the security audit →
LoongSuite Pilot Local telemetry collector for AI coding agents English | 简体中文 Overview Contributing Overview LoongSuite Pilot is a local telemetry collector for AI coding agents. It discovers supported agents on a developer machine, installs the required hooks or plugins, normalizes activity into a shared GenAI event schema, and exports logs or traces to your chosen backends. Built-in local dashboard — multi-agent token usage, sessions, requests, tools, models, providers, and repository activity at a glance. Development teams oft
| Stars | 198 |
| Forks | 52 |
| Language | TypeScript |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 74.4775035161891/100 |
| Open Issues | 80 |
| Last Updated | 2026-09-29 |
| Created | 2026-06-04 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~18k |
These tools work well together with loongsuite-pilot for enhanced workflows:
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loongsuite-pilot is Local-first telemetry collector for AI coding agents — unified OpenTelemetry events for Claude Code, Codex, Cursor and more. Token usage, cost, traces and security audit, exported anywhere.. It is categorized as a Claude Skill with 198 GitHub stars.
loongsuite-pilot is primarily written in TypeScript. It covers topics such as ai-coding, anthropic, claude-code.
You can find installation instructions and usage details in the loongsuite-pilot GitHub repository at github.com/alibaba/loongsuite-pilot. The project has 198 stars and 52 forks, indicating an active community.
loongsuite-pilot is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to loongsuite-pilot on Agent Skills Hub include clawmetry, palot, memorix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: