golang-benchmarkGolang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof, interpreting CPU/memory/trace profiles, analyzing results with benchstat, setting up CI benchmark regression detection, or investigating production performance with Prometheus runtime metrics. Also use when the developer needs deep analysis on a specific performance indicator - this skill provides the measurement methodology, while `samber/cc-skills-golang@golang-performance` provides the optimization patterns.
Install via ClawdBot CLI:
clawdbot install samber/golang-benchmarkGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses system directories or attempts privilege escalation
/sys/Calls external URL not in known-safe list
https://github.com/samber/cc-skills-golangAI Analysis
The skill appears legitimate for Go benchmarking purposes with appropriate tool requirements (go, benchstat). The GitHub reference is to the skill's own repository for documentation, not an external API. The /sys/ access is likely for performance profiling tools reading system metrics, which is expected for benchmarking. No evidence of data exfiltration, credential harvesting, or hidden malicious behavior.
Audited Apr 17, 2026 · audit v1.0
Generated Apr 5, 2026
A fintech company uses this skill to benchmark and profile payment processing microservices written in Go. Engineers run CPU and memory profiles to identify hot paths and memory leaks, then apply optimizations to reduce latency and improve throughput for high-frequency transactions.
A SaaS platform integrates this skill into their CI pipeline to run benchmarks with statistical rigor using benchstat. It automatically detects performance regressions in code changes, ensuring new releases maintain or improve speed and resource efficiency before deployment.
A data analytics firm benchmarks different Go database drivers for query execution and connection pooling. They use sub-benchmarks and memory tracking to compare allocs/op and ns/op, selecting the most efficient driver for handling large-scale data processing workloads.
A gaming company profiles their Go-based multiplayer server to analyze execution traces and CPU profiles. This helps identify bottlenecks in network handling and game logic, optimizing for low latency and smooth player experiences under load.
An IoT provider uses this skill to benchmark Go applications running on resource-constrained edge devices. They profile memory usage and CPU efficiency to ensure the software meets performance targets while minimizing power consumption and hardware costs.
A consultancy offers performance engineering services using this skill to audit and optimize Go applications for clients. They provide detailed benchmark reports and profiling insights, helping businesses reduce cloud costs and improve application scalability.
A startup develops a SaaS tool that integrates this skill's benchmarking and profiling capabilities. It offers automated performance regression alerts and visualization dashboards, targeting development teams needing continuous performance insights.
An educational platform creates courses and certifications on Go performance measurement using this skill. They teach engineers how to write benchmarks, interpret profiles, and use tools like benchstat, generating revenue from course sales and certification exams.
💬 Integration Tip
Integrate this skill into CI/CD pipelines by adding benchmark runs with -count flag for statistical significance and using benchstat to compare results automatically.
Scored Sep 28, 2026
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