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BB golang-benchmark

Golang 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.

ClawHub Agent Skills author: Samuel Berthe v1.3.0 MIT-0 11 files body ≈ 2 987 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process B 73/100 · Nearly there — weak spots: when it triggers, running it twice, progress reporting

AnalyzerSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
78/100
safety, quality, tests
Safety 60%
70
Quality 40%
91
Run on models
none yet
Process rating
B
73/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
20
Running it twice w 4
30
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

    For the model run — optional
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 6

    ✓ No critical or high findings

    Medium and low: 6
    • medium Dangerous commands cmd-privilege references/ci-regression.md:235
      Privilege escalation / world-writable permissions
      echo performance | sudo tee /sys/devices/system/cpu/cpu*/cpufreq/scaling_governor
    • medium Dangerous commands cmd-privilege references/ci-regression.md:244
      Privilege escalation / world-writable permissions
      echo 1 | sudo tee /sys/devices/system/cpu/intel_pstate/no_turbo
    • medium Dangerous commands cmd-privilege references/ci-regression.md:247
      Privilege escalation / world-writable permissions
      echo 0 | sudo tee /sys/devices/system/cpu/cpufreq/boost
    • medium Dangerous commands cmd-privilege references/ci-regression.md:265
      Privilege escalation / world-writable permissions
      echo off | sudo tee /sys/devices/system/cpu/smt/control
    • medium Dangerous commands cmd-privilege references/ci-regression.md:268
      Privilege escalation / world-writable permissions
      echo 0 | sudo tee /sys/devices/system/cpu/cpu1/online  # if cpu0 and cpu1 are siblings
    • medium Broad scope meta-broad-allowed-tools SKILL.md:1
      Broad tool permissions pre-approved: Bash(curl:*)
      allowed-tools: Read Edit Write Glob Grep Bash(go:*) Bash(golangci-lint:*) Bash(git:*) Agent WebFetch Bash(benchstat:*) Bash(benchdiff:*) Bash(cob:*) Bash(gobenchdata:*) Bash(curl:*) mcp_…res

    Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "paths"

    Process rating: all ten parameters 73/100

    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 5 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 60Failures and branches. 2 branches
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 18 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2987 tokens
    • medium 81 test cases, all positive: not one "should refuse" or "should ask first"
    • low No test case covers injection arriving through data

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +2Single-language instructions
    • +3Description length 562: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 18 items
    • +3Output format is stated explicitly
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (8 of 8)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This skill is a coherent Go benchmarking and profiling guide, but users should be careful with its diagnostic-server, insecure TLS, and privileged CI tuning examples.
    LLM: benign (medium) · VirusTotal: · 20 Aug 2026