Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
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…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hpca-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hpca-reproducibility --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "hpca-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HPCA-Skills/skills/hpca-reproducibility into .claude/skills/hpca-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hpca-reproducibility", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HPCA-Skills/skills/hpca-reproducibilityType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hpca-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hpca-reproducibility --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/HPCA-Skills/skills/hpca-reproducibility .agents/skills/hpca-reproducibility && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hpca-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HPCA-Skills/skills/hpca-reproducibility into .agents/skills/hpca-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hpca-reproducibility", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hpca-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hpca-reproducibility --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/HPCA-Skills/skills/hpca-reproducibility .cursor/skills/hpca-reproducibility && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "hpca-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HPCA-Skills/skills/hpca-reproducibility into .cursor/skills/hpca-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hpca-reproducibility", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path HPCA-Skills/skills/hpca-reproducibility--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hpca-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hpca-reproducibility --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/HPCA-Skills/skills/hpca-reproducibility .gemini/skills/hpca-reproducibility && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "hpca-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HPCA-Skills/skills/hpca-reproducibility into .gemini/skills/hpca-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hpca-reproducibility", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hpca-reproducibilityInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hpca-reproducibility -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/HPCA-Skills/skills/hpca-reproducibility .github/skills/hpca-reproducibility && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "hpca-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HPCA-Skills/skills/hpca-reproducibility into .github/skills/hpca-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hpca-reproducibility", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hpca-reproducibility -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hpca-reproducibility --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/HPCA-Skills/skills/hpca-reproducibility .opencode/skills/hpca-reproducibility && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "hpca-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HPCA-Skills/skills/hpca-reproducibility into .opencode/skills/hpca-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hpca-reproducibility", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
hpca-reproducibilityA 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.
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.
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 360 words, ~897 tokens.
.claude/skills/hpca-reproducibility/SKILL.md (or your agent's skills folder).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.
Every figure in the paper should trace back through an unbroken chain:
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 PDFIf 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.
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 link | What to pin | Failure if unpinned |
|---|---|---|
| Simulator | Commit hash + local-patch diff | Silent behavior drift between builds |
| Config | Versioned file, not manual edits | Unreproducible operating point |
| Workload/region | Suite version + sampling recipe | Cherry-picked region suspicion |
| Statistics | Scripted, seeded | Numbers that cannot be regenerated |
| Silicon runs | Governor/turbo/SMT/NUMA + kernel/firmware | Noise mistaken for signal |
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.
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.
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.
[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
Just SKILL.md in HPCA-Skills/skills/hpca-reproducibility of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Hpca Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~897 | Automated safety check: Pass | MIT | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT | |
| Academic Paper Reproduction Methodologyxjtulyc/MedgeClaw | 617 | 1 repos | ~1.3k | Automated safety check: Pass | None | |
| Aris Experiment Auditappleweiping/WEIPING_WIKI | 119 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Bio Experimental Design Multiple TestingGPTomics/bioSkills | 1.2k | 1 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Scientific Critical Thinkingjaechang-hits/SciAgent-Skills | 374 | 1 repos | ~4.7k | Automated safety check: Pass | CC-BY-4.0 |
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
xjtulyc/MedgeClaw
Six-phase process for reproducing a published paper's results from provided data, from variable mapping and sample filtering through regression tables and a written report.
appleweiping/WEIPING_WIKI
Full statistical audit of experiment results. An agent skill from appleweiping/WEIPING_WIKI.
GPTomics/bioSkills
Controls error rates across thousands of simultaneous tests in genomics discovery using false-discovery-rate methods (Benjamini-Hochberg 1995; Benjamini-Yekutieli 2001 for arbitrary dependence…
jaechang-hits/SciAgent-Skills
Evaluating scientific evidence and claims. An agent skill from jaechang-hits/SciAgent-Skills.
franklee16/academic-research-skills
A skill your agent uses when writing the response to a Field Crops Research (FCR) revision decision (major or minor) and revising the manuscript.
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
Categories
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.
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.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Hpca Reproducibility is instructions for the agent only.
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.
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.
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.
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.
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.
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.