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 Jwuthri · MCP Server · ★ 927
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Tracely safe to install? View the security audit →
Tracely Production failures become regression tests. Trace-native CI/CD for AI agents. Tracely grades every agent trace as it lands, clusters the failures into issues, freezes the bad runs into hermetic replayable cases — and blocks the pull request that would ship them again. Website · Docs · Agent skill · Guided tour · 2-min demo · Design dossier Self-host the whole stack in one click — API, worker, UI, Postgres, ClickHouse, Redis and MinIO: [](https://railway.com/deploy/n5nLE?referralCode
| Stars | 927 |
| Forks | 35 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 63.701517534843/100 |
| Open Issues | 23 |
| Last Updated | 2026-08-22 |
| Created | 2026-06-03 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~19k |
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Tracely is Trace-native CI/CD for AI agents — production failures become regression tests that block the PR. Auto-detect, cluster, freeze into hermetic cases, replay in CI for $0.. It is categorized as a MCP Server with 927 GitHub stars.
Tracely is primarily written in Python. It covers topics such as agent, agent-observability, ai-agents.
You can find installation instructions and usage details in the Tracely GitHub repository at github.com/Jwuthri/Tracely. The project has 927 stars and 35 forks, indicating an active community.
Tracely is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Tracely on Agent Skills Hub include lmnr, trpc-agent-go, clawmetry. 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: