observability-lgtmSet up a full local LGTM observability stack (Loki + Grafana + Tempo + Prometheus + Alloy) for FastAPI apps. One Docker Compose, one Python import, unified d...
Install via ClawdBot CLI:
clawdbot install nissan/observability-lgtmGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → http://localhost:9091/-/reloadAccesses system directories or attempts privilege escalation
/var/log/Calls external URL not in known-safe list
https://github.com/reddinft/skill-observability-lgtmAI Analysis
The skill sets up a purely local observability stack with all services running in Docker containers on localhost. The flagged 'external' endpoints (localhost:9091 reload, GitHub repo) are either local service management or documentation links. No evidence of data exfiltration, credential harvesting, or hidden malicious behavior exists.
Generated Mar 1, 2026
A developer building a suite of microservices with FastAPI needs to monitor each service's performance, logs, and traces locally before deployment. This skill provides a unified dashboard to debug latency issues, track errors across services, and correlate logs with traces for root cause analysis.
A data scientist deploying FastAPI-based model inference endpoints wants to monitor request rates, error percentages, and latency metrics in real-time. The skill enables visualization of model performance, logs for debugging predictions, and traces to identify bottlenecks in preprocessing or inference steps.
A company uses internal FastAPI tools for data processing or reporting and needs observability without external dependencies. This skill sets up local dashboards to track usage patterns, ensure uptime, and debug issues without exposing data to cloud services.
Students or instructors learning about observability in web development can use this skill to instrument FastAPI projects. It offers hands-on experience with logs, metrics, and traces in a controlled local environment, avoiding complex cloud setups.
A startup developing a FastAPI-based MVP requires quick observability to iterate on features and fix bugs. This skill provides a lightweight stack to monitor user interactions, API health, and performance trends during early development phases.
Offer this skill as part of an open-source toolkit for developers, with potential revenue from consulting, custom integrations, or premium support services. It attracts users by simplifying local observability setup.
Integrate this skill into a larger developer platform or IDE extension, providing observability as a value-added feature. Revenue can come from subscription fees or upsells for enhanced analytics and cloud migration tools.
Use the skill as a hands-on component in training programs or workshops focused on DevOps and observability. Revenue is generated through course fees, certifications, or corporate training packages.
💬 Integration Tip
Ensure Docker is running and ports are free before starting; use the provided scripts to automate app registration and avoid manual configuration errors.
Scored Apr 19, 2026
Audited Apr 16, 2026 · audit v1.0
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