Agent skill

Atc Reproducibility

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when building the reproducibility story for an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) systems paper — pinning testbed and software environments…

MITAuto-check passedResearch & Science

Install Atc Reproducibility

skills CLI

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

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

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills atc-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/ATC-Skills/skills/atc-reproducibility .claude/skills/atc-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/

Paste into Claude Code

Install the "atc-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ATC-Skills/skills/atc-reproducibility into .claude/skills/atc-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "atc-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

$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ATC-Skills/skills/atc-reproducibility

Type 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.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill atc-reproducibility -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills atc-reproducibility --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ATC-Skills/skills/atc-reproducibility .agents/skills/atc-reproducibility && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "atc-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ATC-Skills/skills/atc-reproducibility into .agents/skills/atc-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "atc-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.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill atc-reproducibility -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills atc-reproducibility --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ATC-Skills/skills/atc-reproducibility .cursor/skills/atc-reproducibility && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "atc-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ATC-Skills/skills/atc-reproducibility into .cursor/skills/atc-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "atc-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

$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path ATC-Skills/skills/atc-reproducibility

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill atc-reproducibility -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills atc-reproducibility --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ATC-Skills/skills/atc-reproducibility .gemini/skills/atc-reproducibility && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "atc-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ATC-Skills/skills/atc-reproducibility into .gemini/skills/atc-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "atc-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.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills atc-reproducibility

Installs 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).

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill atc-reproducibility -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/ATC-Skills/skills/atc-reproducibility .github/skills/atc-reproducibility && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "atc-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ATC-Skills/skills/atc-reproducibility into .github/skills/atc-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "atc-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.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill atc-reproducibility -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills atc-reproducibility --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ATC-Skills/skills/atc-reproducibility .opencode/skills/atc-reproducibility && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "atc-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ATC-Skills/skills/atc-reproducibility into .opencode/skills/atc-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "atc-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.

Facts

Skill name: atc-reproducibility
GitHub stars: 1.2k
Token cost: ~1.1k tokens
SKILL.md length: 402 words
Files: 1
Skills in repo: 2,387
Repo updated: Sep 27, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

A skill your agent uses when building the reproducibility story for an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) systems paper — pinning testbed and software environments…

Building the reproducibility story for an ATC (ACM SIGOPS Annual Technical Conference
SKILL.md covers Pin what you cannot reconstruct, A turnkey path to the headline…, Pinned, portable environments and Anonymized-but-runnable review…, plus 2 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
Formerly USENIX ATC) systems paper — pinning testbed and software environments

What it does

Atc Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building the reproducibility story for an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) systems paper — pinning testbed and software environments, providing a turnkey path from the artifact to the headline numbers, and preparing an anonymized-but-runnable review package ahead of the Available/Functional/Reproduced badges.

Its SKILL.md is about 1.1k 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. 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

Building the reproducibility story for an ATC (ACM SIGOPS Annual Technical Conference
Formerly USENIX ATC) systems paper — pinning testbed and software environments
Providing a turnkey path from the artifact to the headline numbers
Preparing an anonymized-but-runnable review package ahead of the Available/Functional/Reproduced badges

Example prompts

“/atc-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

Atc Reproducibility loads about 1.1k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 402 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~93
When it runs · the whole SKILL.md, loaded when a task matches: ~1.1k

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). 402 words, ~1,090 tokens.

Download SKILL.mdSave it as .claude/skills/atc-reproducibility/SKILL.md (or your agent's skills folder).

name: atc-reproducibility
description: Use when building the reproducibility story for an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) systems paper — pinning testbed and software environments, providing a turnkey path from the artifact to the headline numbers, and preparing an anonymized-but-runnable review package ahead of the Available/Functional/Reproduced badges.

ATC Reproducibility

Build the reproducibility story alongside the system, not at the deadline. ATC has an active artifact culture inherited from USENIX: reviewers expect a runnable, anonymized artifact at review time, and after acceptance an Artifact Evaluation Committee awards Available / Functional / Reproduced badges (see atc-artifact-evaluation). The through-line is that a systems result other people can re-run is worth more than one they must take on faith — and systems provenance cannot be reconstructed after the fact.

Pin what you cannot reconstruct

Record these at collection time; none can be recovered at the deadline:

text

[Hardware]   CPU/NIC/SSD models, core/memory counts, firmware/BIOS where it matters
[OS/kernel]  kernel version, distro, relevant sysctl/tuning, hugepages/NUMA settings
[Toolchain]  compiler, library, and runtime versions; build flags
[Workload]   trace source + extraction date, generator version + seeds, request mix
[Method]     warm-up window, measurement duration, run count, aggregation method
[Code]       commit SHAs for your system and every baseline; patches applied

A turnkey path to the headline numbers

The single most valuable artifact property is that an evaluator can regenerate your paper's main figures and tables:

Ship a claim-to-experiment map: paper claim → script → expected figure/table → expected runtime.
Provide a one-command entry point per headline result (./run_fig3.sh) that does setup, run, and plot.
Give a small-scale mode for evaluators who lack your hardware (fewer nodes, a trace sample), and state clearly which results are full-scale-only and why.
Log expected outputs and tolerances so an evaluator knows what "reproduced" looks like given measurement noise.

Pinned, portable environments

Prefer a container (Dockerfile) or a pinned environment (lockfile, requirements, Nix) over "install these 30 packages by hand."
Where the result depends on kernel features or hardware (RDMA, SPDK, io_uring, specific NICs), say so explicitly and document the required host, since a container cannot abstract the hardware away.
Include traces/datasets (or documented, durable access), not just the query that produced them.

Show full SKILL.md (155 more words)Show less

Anonymized-but-runnable review package

At submission the artifact must be runnable yet double-blind:

No owner strings, cluster hostnames, lab or product names, or identity-revealing URLs in code, configs, logs, or commit metadata.
Mirror any linked repository behind an anonymizing service; scrub .git/ from archives.
The system's own name can de-anonymize you — use a neutral placeholder if the real name is identifying, and reconcile it in the camera-ready.
Verify the package runs from a clean checkout on a fresh machine — "works on the author's laptop" is the most common Functional failure.

Honest reproducibility posture

If a result cannot be shared (proprietary trace, confidential deployment), say so and why, and provide the closest reproducible substitute — silence reads as a weakness.
Distinguish reproducible (same artifact, same numbers) from replicable (independent reimplementation) and claim only what you support.
For experience/deployed-systems papers, provide what you can — configs, anonymized traces, analysis scripts — even when the production system itself cannot ship.

Output format

text

[Provenance] hardware/OS/toolchain/workload/method/code pinned at collection time? gaps?
[Turnkey] claim-to-experiment map + one-command runs + small-scale mode present? yes/no
[Environment] container or pinned lockfile? hardware dependencies documented?
[Anonymity] artifact runnable AND double-blind (no names/hosts/owner strings)? yes/no
[Clean-machine] runs from a fresh checkout on a clean host? yes/no
[Badge readiness] on track for Available / Functional / Reproduced? blockers?

Files

Just SKILL.md in ATC-Skills/skills/atc-reproducibility of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Atc 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.

Atc Reproducibility compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Atc Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills	1.2k	—	~1.1k	Automated safety check: Pass	MIT	13 days ago
Peer ReviewK-Dense-AI/claude-scientific-writer	2.4k	2 repos	~3.1k	Automated safety check: Notes	MIT	yesterday
CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw	617	1 repos	~1.8k	Automated safety check: Pass	None	7 mo ago
Compute Environment Setupaipoch/open-science	5.5k	—	~2.6k	Automated safety check: Pass	Apache-2.0	today
Figure Styleaipoch/open-science	5.5k	—	~5.1k	Automated safety check: Pass	Apache-2.0	today
Add Bactopia Toolbactopia/bactopia	522	—	~4.1k	Automated safety check: Pass	MIT	2 mo ago

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Peer Review
K-Dense-AI/claude-scientific-writer
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2.4k GitHub starsUsed in 2 repos~3.1k tokens
Research & ScienceAuto-check: notes
CHARLS Paper Reproduction Guide
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Guides an agent through reproducing papers built on the CHARLS health and retirement survey, from variable mapping to cognition, depression and isolation scores.
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Research & ScienceAuto-check passed
Compute Environment Setup
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Figure Style
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Questions about Atc Reproducibility

What does Atc Reproducibility do?

A skill your agent uses when building the reproducibility story for an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) systems paper — pinning testbed and software environments…. Atc Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building the reproducibility story for an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) systems paper — pinning testbed and software environments, providing a turnkey path from the artifact to the headline numbers, and preparing an anonymized-but-runnable review package ahead of the Available/Functional/Reproduced badges.

When should I use Atc Reproducibility?

Atc Reproducibility fits situations like: building the reproducibility story for an ATC (ACM SIGOPS Annual Technical Conference; formerly USENIX ATC) systems paper — pinning testbed and software environments; providing a turnkey path from the artifact to the headline numbers; preparing an anonymized-but-runnable review package ahead of the Available/Functional/Reproduced badges.

How do I install Atc Reproducibility in Claude Code?

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

How do I install Atc Reproducibility in Codex?

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

Can I use Atc 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 atc-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/atc-reproducibility, .gemini/skills/atc-reproducibility, .github/skills/atc-reproducibility and .opencode/skills/atc-reproducibility in your project.

What does Atc Reproducibility need to run?

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

Does Atc 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 Atc 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 Atc Reproducibility use?

Atc 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 Atc Reproducibility use?

About 1.1k tokens (SKILL.md is roughly 4.4k 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 Atc Reproducibility?

Skills that share tags, products or a category with Atc Reproducibility: Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Compute Environment Setup (aipoch/open-science, 5.5k stars) and Figure Style (aipoch/open-science, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Atc 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.

Install Atc Reproducibility

Facts

At a glance

What it does

When your agent uses it

Example prompts

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

ATC Reproducibility

Pin what you cannot reconstruct

A turnkey path to the headline numbers

Pinned, portable environments

Anonymized-but-runnable review package

Honest reproducibility posture

Output format

Files

Compare with similar skills

Similar skills

More from brycewang-stanford/Awesome-Journal-Skills

Related

Questions about Atc Reproducibility