A skill your agent uses when strengthening HPCA reproducibility: pinning the result chain from simulator commit through config, workload, sampled region, and statistics, building one manifest per…

MITAuto-check passedResearch & Science

Install Hpca Reproducibility

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hpca-reproducibility -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hpca-reproducibility --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/HPCA-Skills/skills/hpca-reproducibility .claude/skills/hpca-reproducibility && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
hpca-reproducibility
GitHub stars
1.2k
Token cost
~897 tokens
SKILL.md length
360 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when strengthening HPCA reproducibility: pinning the result chain from simulator commit through config, workload, sampled region, and statistics, building one manifest per…

  • Strengthening HPCA reproducibility: pinning the result chain from simulator commit through config
  • SKILL.md covers Pin the result chain, One manifest per figure, Record machine state for silicon and Handle non-redistributable…, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Building one manifest per figure

What it does

Hpca Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when strengthening HPCA reproducibility: pinning the result chain from simulator commit through config, workload, sampled region, and statistics, building one manifest per figure, recording machine state for silicon runs, and keeping the environment resurrectable for the IEEE artifact-badging round.

Its SKILL.md is about 900 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Reproducible research and Statistics. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Strengthening HPCA reproducibility: pinning the result chain from simulator commit through config
  • Building one manifest per figure
  • Recording machine state for silicon runs
  • Keeping the environment resurrectable for the IEEE artifact-badging round

Example prompts

  • “/hpca-reproducibility”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Hpca Reproducibility loads about 897 tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 360 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~897

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

Auto-check passed

The automated check found no risky patterns in SKILL.md.

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 360 words, ~897 tokens.

Download SKILL.mdSave it as .claude/skills/hpca-reproducibility/SKILL.md (or your agent's skills folder).
name
hpca-reproducibility
description
Use when strengthening HPCA reproducibility: pinning the result chain from simulator commit through config, workload, sampled region, and statistics, building one manifest per figure, recording machine state for silicon runs, and keeping the environment resurrectable for the IEEE artifact-badging round.

HPCA Reproducibility

Use this to make an HPCA paper's results reconstructable — by a reviewer during the window, by an artifact evaluator after acceptance, and by you six months later when the environment has drifted. HPCA's artifact badges are IEEE reproducibility badges earned on a separate AE HotCRP, so build toward that pipeline, not the ACM one.

Pin the result chain

Every figure in the paper should trace back through an unbroken chain:

text
simulator commit (or machine + firmware)
  -> configuration file (core, cache, DRAM, interconnect)
    -> workload + input + sampled region
      -> raw output logs
        -> statistics script
          -> the figure/table in the PDF

If any link is unpinned — a simulator built from "latest," a config edited by hand, a region chosen ad hoc — the result is not reproducible, only re-runnable by you.

One manifest per figure

Give each headline figure a manifest that names its commit, config, workload, region, seed/trial count, and the exact command that regenerates it. A regen.sh per figure that reproduces the artifact from raw logs turns "trust me" into "run this."

Chain linkWhat to pinFailure if unpinned
SimulatorCommit hash + local-patch diffSilent behavior drift between builds
ConfigVersioned file, not manual editsUnreproducible operating point
Workload/regionSuite version + sampling recipeCherry-picked region suspicion
StatisticsScripted, seededNumbers that cannot be regenerated
Silicon runsGovernor/turbo/SMT/NUMA + kernel/firmwareNoise mistaken for signal
Show full SKILL.md (165 more words)Show less

Record machine state for silicon

A real-hardware result is only reproducible with its host state captured: frequency governor, turbo, SMT, NUMA policy, kernel and firmware versions, and the trial count with dispersion. Archive it next to the logs, not in your memory.

Handle non-redistributable workloads

SPEC-class and other licensed suites cannot ship in the artifact. Provide the recipe and checksums to reconstruct them, plus at least one freely available workload that exercises the full pipeline so an evaluator without a license can still reproduce a headline result.

Keep the environment resurrectable

Between submission and the badge round, environments rot. Containerize or script the build, pin dependency versions, and do a cold-start resurrection drill on a clean machine before you promise a reviewer or evaluator anything. The single rebuttal/revision window is not the time to discover your simulator no longer builds.

Reproducibility checklist

text
[Result chain] every figure pinned commit->config->workload->region->stats? (Y/N)
[Manifests] one per headline figure with a regen script? (Y/N)
[Silicon state] governor/turbo/SMT/NUMA + kernel/firmware + trials archived? (Y/N/NA)
[Licensed workloads] recipe+checksums + one free workload provided? (Y/N/NA)
[Resurrection] cold-start build drill passed on a clean machine? (Y/N)
[Badge readiness] packaged for the IEEE AE HotCRP? (Y/N)
[Top gaps] <ordered>

Reopen the current artifact-evaluation page for the badge set and calendar before relying on any AE detail here — the AE mechanics are per-edition.

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in HPCA-Skills/skills/hpca-reproducibility of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Hpca Reproducibility next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Hpca Reproducibility compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hpca Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~897Automated safety check: PassMIT
Peer ReviewK-Dense-AI/claude-scientific-writer2.4k2 repos~3.1kAutomated safety check: NotesMIT
Academic Paper Reproduction Methodologyxjtulyc/MedgeClaw6171 repos~1.3kAutomated safety check: PassNone
Aris Experiment Auditappleweiping/WEIPING_WIKI119—~2.3kAutomated safety check: PassMIT
Bio Experimental Design Multiple TestingGPTomics/bioSkills1.2k1 repos~3.5kAutomated safety check: PassMIT
Scientific Critical Thinkingjaechang-hits/SciAgent-Skills3741 repos~4.7kAutomated safety check: PassCC-BY-4.0

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Questions about Hpca Reproducibility

What does Hpca Reproducibility do?

A skill your agent uses when strengthening HPCA reproducibility: pinning the result chain from simulator commit through config, workload, sampled region, and statistics, building one manifest per…. Hpca Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when strengthening HPCA reproducibility: pinning the result chain from simulator commit through config, workload, sampled region, and statistics, building one manifest per figure, recording machine state for silicon runs, and keeping the environment resurrectable for the IEEE artifact-badging round.

When should I use Hpca Reproducibility?

Hpca Reproducibility fits situations like: strengthening HPCA reproducibility: pinning the result chain from simulator commit through config; building one manifest per figure; recording machine state for silicon runs; keeping the environment resurrectable for the IEEE artifact-badging round.

How do I install Hpca Reproducibility in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hpca-reproducibility -a claude-code`. Or copy the skill folder (HPCA-Skills/skills/hpca-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/hpca-reproducibility in your project. Claude Code loads it when a task matches its description.

How do I install Hpca Reproducibility in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hpca-reproducibility -a codex`. Or copy the skill folder (HPCA-Skills/skills/hpca-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/hpca-reproducibility in your project. Codex loads it when a task matches its description.

Can I use Hpca Reproducibility in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hpca-reproducibility -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hpca-reproducibility, .gemini/skills/hpca-reproducibility, .github/skills/hpca-reproducibility and .opencode/skills/hpca-reproducibility in your project.

What does Hpca Reproducibility need to run?

SKILL.md names no scripts, command-line tools or credentials: Hpca Reproducibility is instructions for the agent only.

Does Hpca Reproducibility access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Hpca Reproducibility safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Hpca Reproducibility use?

Hpca Reproducibility is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Hpca Reproducibility use?

About 897 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Hpca Reproducibility?

Skills that share tags, products or a category with Hpca Reproducibility: Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), Academic Paper Reproduction Methodology (xjtulyc/MedgeClaw, 617 stars), Aris Experiment Audit (appleweiping/WEIPING_WIKI, 119 stars) and Bio Experimental Design Multiple Testing (GPTomics/bioSkills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hpca Reproducibility?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.