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 hardening the reproducibility of an IEEE S&P (Oakland) paper's evidence before submission, including environment pinning for exploits and side channels, seed and trial…
Install Ieeesp Reproducibility
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ieeesp-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ieeesp-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/IEEE-SP-Skills/skills/ieeesp-reproducibility .claude/skills/ieeesp-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 "ieeesp-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IEEE-SP-Skills/skills/ieeesp-reproducibility into .claude/skills/ieeesp-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ieeesp-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/IEEE-SP-Skills/skills/ieeesp-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 ieeesp-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ieeesp-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/IEEE-SP-Skills/skills/ieeesp-reproducibility .agents/skills/ieeesp-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 "ieeesp-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IEEE-SP-Skills/skills/ieeesp-reproducibility into .agents/skills/ieeesp-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ieeesp-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 ieeesp-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ieeesp-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/IEEE-SP-Skills/skills/ieeesp-reproducibility .cursor/skills/ieeesp-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 "ieeesp-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IEEE-SP-Skills/skills/ieeesp-reproducibility into .cursor/skills/ieeesp-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ieeesp-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 IEEE-SP-Skills/skills/ieeesp-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 ieeesp-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ieeesp-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/IEEE-SP-Skills/skills/ieeesp-reproducibility .gemini/skills/ieeesp-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 "ieeesp-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IEEE-SP-Skills/skills/ieeesp-reproducibility into .gemini/skills/ieeesp-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ieeesp-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 ieeesp-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 ieeesp-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/IEEE-SP-Skills/skills/ieeesp-reproducibility .github/skills/ieeesp-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 "ieeesp-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IEEE-SP-Skills/skills/ieeesp-reproducibility into .github/skills/ieeesp-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ieeesp-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 ieeesp-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 ieeesp-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/IEEE-SP-Skills/skills/ieeesp-reproducibility .opencode/skills/ieeesp-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 "ieeesp-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IEEE-SP-Skills/skills/ieeesp-reproducibility into .opencode/skills/ieeesp-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ieeesp-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
ieeesp-reproducibility- GitHub stars
- 1.2k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 499 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when hardening the reproducibility of an IEEE S&P (Oakland) paper's evidence before submission, including environment pinning for exploits and side channels, seed and trial…
- Hardening the reproducibility of an IEEE S&P (Oakland) papers evidence before submission
- SKILL.md covers Freeze the target, not just…, Determinism ledger for…, When ethics limits release,… and Cheap habits that pay at…, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Including environment pinning for exploits and side channels
What it does
Ieeesp Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when hardening the reproducibility of an IEEE S&P (Oakland) paper's evidence before submission, including environment pinning for exploits and side channels, seed and trial reporting for probabilistic attacks, measurement snapshotting of live systems, and honest availability statements under ethical release limits.
Its SKILL.md is about 1.2k 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
- Hardening the reproducibility of an IEEE S&P (Oakland) papers evidence before submission
- Including environment pinning for exploits and side channels
- Seed and trial reporting for probabilistic attacks
- Measurement snapshotting of live systems
Example prompts
- “/ieeesp-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
Ieeesp Reproducibility loads about 1.2k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 499 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.
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). 499 words, ~1,183 tokens.
Download SKILL.mdSave it as
.claude/skills/ieeesp-reproducibility/SKILL.md (or your agent's skills folder).- name
- ieeesp-reproducibility
- description
- Use when hardening the reproducibility of an IEEE S&P (Oakland) paper's evidence before submission, including environment pinning for exploits and side channels, seed and trial reporting for probabilistic attacks, measurement snapshotting of live systems, and honest availability statements under ethical release limits.
IEEE S&P Reproducibility
Use this while the evidence is being produced — months before
ieeesp-artifact-evaluation packages it. Security results decay in ways ML
results do not: targets get patched, infrastructure changes, and an attack
that "worked in March" can be unreproducible by review time. Reproducibility
at S&P is first about freezing the world you measured.
Freeze the target, not just the code
| Evidence type | What must be pinned | Decay risk if not |
|---|---|---|
| Software exploit | Target version, build flags, distro, patch level | Silent fix ships mid-review |
| Microarchitectural attack | CPU model + stepping, microcode, OS mitigations state | Microcode update changes timing |
| Network measurement | Scan dates, vantage points, target-list snapshot | Internet moved; sample unrecoverable |
| Web/API study | Crawl date, client fingerprint, geographic origin | Server-side behavior shifts |
| ML attack/defense | Model weights hash, dataset version, threat-budget ε | "Same" model retrained differently |
Record these in the paper, not only in lab notes — a reviewer asking "does
this still work after <vendor>'s April update?" is a reproducibility question
about the world, and the answer is a documented snapshot date.
Determinism ledger for probabilistic evidence
Attacks with success probabilities, fuzzing campaigns, and randomized defenses need trial discipline:
- Report trials, not anecdotes: success rate over n runs with n stated, plus dispersion — a "9/10 successful" exploit and a "measured once" exploit are different claims.
- Fuzzing comparisons follow the field's known pitfalls: equal CPU-time budgets, multiple campaigns, identical seed corpora — state all three.
- Randomized defenses (ASLR-like, moving-target): evaluate across the randomness, not one lucky layout.
- Timing measurements: report the noise floor and the machine's quiescence conditions (isolated cores, frequency pinning) or the numbers will not transfer.
Reproducibility ledger (one row per experiment in the paper):
exp_id | claim it supports | target snapshot (ver/date/hw) |
trials & seeds | dispersion reported? | rerun cost (time/hw/$) |
rerunnable by outsider? (yes / gated / world-dependent)The last column becomes the availability statement and the honest badge target later.
Show full SKILL.md (223 more words)Show less
When ethics limits release, say exactly what and why
S&P reviewers accept withheld material when the reasoning is specific:
- "Exploit for CVE-pending issue withheld until the fix ships; released to reviewers via the chairs on request" beats a silent gap.
- User-derived datasets: describe schema and collection so others can re-collect ethically, even when raw data cannot ship.
- Never fabricate openness — a promised-but-empty repository found during review or after publication is a reputation event, and at this venue reviewers do check.
Cheap habits that pay at rebuttal time
- One
env.lockper experiment directory: container digest, package list, kernel and microcode versions, dumped automatically by the run script. - Raw outputs archived before aggregation; the rebuttal question is always about a number two steps upstream of the figure.
- A
regenerate_figures.shthat goes from archived raw data to every figure — this is also the artifact-evaluation core later. - Date-stamped disclosure and measurement logs, because ethics questions in
review are answered with timelines (
ieeesp-author-response).
What this venue does not require
Keep effort calibrated: S&P has no submission-time reproducibility checklist in the verified 2026/2027 materials (待核实 each cycle), artifact evaluation is post-acceptance and optional, and appendices are explicitly not guaranteed reader attention. The reproducibility work above is therefore aimed at three audiences in order: your own rebuttal, the shepherd, and the AE committee — not at a submission-form requirement.
Output format
[Ledger status] <n>/<total> experiments with snapshot + trials + dispersion
[World-dependence] <which results cannot be re-run by anyone, ever — flagged in text?>
[Release plan] open / gated (reason) / withheld (reason) — per component
[Rebuttal readiness] raw data archived ✓/✗ · env locks ✓/✗ · figure regen ✓/✗
[Gaps to close before registration week] <ordered list>© 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 IEEE-SP-Skills/skills/ieeesp-reproducibility of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Ieeesp 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 |
|---|---|---|---|---|---|---|
| Ieeesp Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT | |
| CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw | 617 | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| Compute Environment Setupaipoch/open-science | 5.5k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Figure Styleaipoch/open-science | 5.5k | — | ~5.1k | Automated safety check: Pass | Apache-2.0 | |
| Add Bactopia Toolbactopia/bactopia | 522 | — | ~4.1k | Automated safety check: Pass | MIT |
Similar skills
CHARLS Paper Reproduction Guide
xjtulyc/MedgeClaw
Guides an agent through reproducing papers built on the CHARLS health and retirement survey, from variable mapping to cognition, depression and isolation scores.
Compute Environment Setup
aipoch/open-science
Prepares setup instructions and a named activation file for a user-managed software environment on an Open-Science SSH or Slurm compute host.
Figure Style
aipoch/open-science
Publication-grade correctness and legibility rules for final-deliverable scientific figures, not exploratory plots.
Add Bactopia Tool
bactopia/bactopia
Scaffold a complete Bactopia Tool across all three tiers -- module, subworkflow, and workflow entry point under workflows/bactopia-tools/.
Modeling Code and Result Contracts
yushui2022/MathModel-Skill
Generates result-evidence contracts, tables and runnable q1 to q3 modeling code scaffolds for a math modeling paper from a model route, a data plan and cleaned data.
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Categories
Questions about Ieeesp Reproducibility
What does Ieeesp Reproducibility do?
A skill your agent uses when hardening the reproducibility of an IEEE S&P (Oakland) paper's evidence before submission, including environment pinning for exploits and side channels, seed and trial…. Ieeesp Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when hardening the reproducibility of an IEEE S&P (Oakland) paper's evidence before submission, including environment pinning for exploits and side channels, seed and trial reporting for probabilistic attacks, measurement snapshotting of live systems, and honest availability statements under ethical release limits.
When should I use Ieeesp Reproducibility?
Ieeesp Reproducibility fits situations like: hardening the reproducibility of an IEEE S&P (Oakland) papers evidence before submission; including environment pinning for exploits and side channels; seed and trial reporting for probabilistic attacks; measurement snapshotting of live systems.
How do I install Ieeesp Reproducibility in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ieeesp-reproducibility -a claude-code`. Or copy the skill folder (IEEE-SP-Skills/skills/ieeesp-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/ieeesp-reproducibility in your project. Claude Code loads it when a task matches its description.
How do I install Ieeesp Reproducibility in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ieeesp-reproducibility -a codex`. Or copy the skill folder (IEEE-SP-Skills/skills/ieeesp-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/ieeesp-reproducibility in your project. Codex loads it when a task matches its description.
Can I use Ieeesp 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 ieeesp-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/ieeesp-reproducibility, .gemini/skills/ieeesp-reproducibility, .github/skills/ieeesp-reproducibility and .opencode/skills/ieeesp-reproducibility in your project.
What does Ieeesp Reproducibility need to run?
SKILL.md names no scripts, command-line tools or credentials: Ieeesp Reproducibility is instructions for the agent only.
Does Ieeesp 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 Ieeesp 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 Ieeesp Reproducibility use?
Ieeesp 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 Ieeesp Reproducibility use?
About 1.2k tokens (SKILL.md is roughly 4.7k 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 Ieeesp Reproducibility?
Skills that share tags, products or a category with Ieeesp 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 Ieeesp 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.