Docker Jfr Benchmark Loop

What it does

When your agent uses it

• Working in this repo on benchmark-guided performance changes
• CPU bottleneck analysis
• Repeated baseline
• Requests mentioning benchmark

Example prompts

• “/docker-jfr-benchmark-loop”

Requirements

• A Bash shell
• Docker

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

1. 1Pick one benchmark selector. Keep selector, params, Docker image, and profiling flags constant for the whole comparison.
2. 2Capture a baseline run with scripts/run-docker-jfr-loop.sh.
3. 3Read the .jfr using references/jfr-reading.md.
4. 4Choose one candidate fix with material CPU share. Prefer the fix most likely to move total runtime, not just local self time.
5. 5Re-run the exact same selector and params.
6. 6Compare benchmark delta plus hotspot shift.
7. 7Repeat until

What it can do on your machine

Read from SKILL.md and the folder at commit fdbf6e5. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 1 file in scripts/ (Shell), which the agent can run.

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Docker Jfr Benchmark Loop loads about 945 tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 112 tokens; SKILL.md has 337 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~112

When it runs · the whole SKILL.md, loaded when a task matches

~945

With references · SKILL.md plus every file in references/, read only if the agent opens them

~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from eclipse-rdf4j/rdf4j at commit fdbf6e5, republished under its BSD-3-Clause licence (© eclipse-rdf4j). 337 words, ~945 tokens.

name

docker-jfr-benchmark-loop

description

Run a repeatable RDF4J performance loop against one JMH benchmark in Docker with Linux Java 26 and JFR CPU-time profiling. Use when working in this repo on benchmark-guided performance changes, hotspot triage, JFR reading, CPU bottleneck analysis, or repeated baseline, fix, and rerun loops. Trigger on requests mentioning benchmark, profiling, JFR, hotspot, perf loop, CPU bottleneck, or Docker benchmark runs in RDF4J.

.codex/skills/docker-jfr-benchmark-loop/scripts/run-docker-jfr-loop.sh \
  org.eclipse.rdf4j.model.benchmark.ValueCreationBenchmark.createBNode \
  --dry-run

.codex/skills/docker-jfr-benchmark-loop/scripts/run-docker-jfr-loop.sh \
  --module core/model \
  --class org.eclipse.rdf4j.model.benchmark.ValueCreationBenchmark \
  --method createBNode \
  --param samples=1000

© eclipse-rdf4j, BSD-3-Clause. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references) in .agent/skills/docker-jfr-benchmark-loop of eclipse-rdf4j/rdf4j.

• SKILL.md
• agents/openai.yaml
• references/jfr-reading.md
• references/perf-loop.md
• scripts/run-docker-jfr-loop.sh

Open the folder on GitHubat commit fdbf6e5