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Go Performance Testing — measured AI agent skill | DecimalAI

hashgraph-online/go-performance-testing

NewSkillScoreMaintained

Design, run, compare, and interpret Go performance evidence using benchmarks, B.Loop, benchstat, pprof, traces, escape analysis, cache locality, false sharing, sync.Pool, GC limits, container CPU behavior, and PGO. Use when investigating Go latency, throughput, CPU, memory, allocations, contention, runtime behavior, performance regressions, or optimization claims.

Testingby hashgraph-online

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Coding pack

1 · One-time — install the CLI (docs ↗)

pip install decimalai

2 · Get the skill — writes .claude/skills/hashgraph-online-go-performance-testing/SKILL.md

decimalai skills pull hashgraph-online-go-performance-testing --out .claude/skills/

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/hashgraph-online-go-performance-testing/SKILL.md https://app.decimal.ai/s/hashgraph-online-go-performance-testing/SKILL.md

Raw file: /s/hashgraph-online-go-performance-testing/SKILL.md ↗ · machine-readable summary at /s/hashgraph-online-go-performance-testing.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

23 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 4h ago

Yes — +17% lift-6% tokens0% turns96% of whole cases pass with skill (22/23)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	-4%	0%
case-02	✗→✓	▲ Improved	-8%	0%
case-07	✗→✓	▲ Improved	-10%	0%
case-12	✗→✓	▲ Improved	-28%	0%
case-04	✓→✓	＝ Same ✓	-1%	0%

Showing 5 of 23 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

hashgraph-online / awesome-codex-plugins

plugins/LVTD-LLC/skills/skills/go-performance-testing/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

Skill contents

SKILL.md

Go Performance Testing

Optimize only after establishing a representative, repeatable measurement and a specific hypothesis.

Core Workflow

Define the user-visible metric and representative workload.
Stabilize correctness before measuring performance.
Write focused benchmarks with realistic inputs and controlled setup.
Collect repeated baseline samples in comparable conditions.
Use allocations, profiles, and traces to form a causal hypothesis.
Make one bounded change.
Compare repeated before/after samples statistically.
Recheck correctness and the end-to-end workload.

Guardrails

Do not optimize from one benchmark line or an unrepresentative microbenchmark.
Do not compare runs made under materially different environments.
Do not treat coverage or race detection as performance evidence.
Name the profile sample type and distinguish flat from cumulative cost.
Prefer B.Loop only when the pinned Go version supports it.
Keep production profile endpoints protected and operationally controlled.
Do not encode cache-line size, escape output, or inliner budgets as portable facts.
Do not use sync.Pool as a cache or resource owner.

Source Notes

Guidance is transformed and paraphrased from Inanc Gumus, Go by Example: Programmer's Guide to Idiomatic and Testable Programs (Manning, 2025), especially Chapter 3. Examples are original.

Diagnostics, locality, allocation, GC, and container guidance also incorporates transformed material from Teiva Harsanyi, 100 Go Mistakes and How to Avoid Them (Manning, 2022), Chapter 12.

Book: https://www.manning.com/books/go-by-example

Verify current behavior against https://pkg.go.dev/testing, https://go.dev/doc/diagnostics, and https://go.dev/doc/pgo.

Want to see if hashgraph-online/go-performance-testing would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.