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 ACM IMC reproducibility and availability evidence, covering the artifact-availability declaration, measurement provenance (vantage points, dates, tool…
Install Imc Reproducibility
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill imc-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills imc-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/IMC-Skills/skills/imc-reproducibility .claude/skills/imc-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 "imc-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IMC-Skills/skills/imc-reproducibility into .claude/skills/imc-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imc-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/IMC-Skills/skills/imc-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 imc-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills imc-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/IMC-Skills/skills/imc-reproducibility .agents/skills/imc-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 "imc-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IMC-Skills/skills/imc-reproducibility into .agents/skills/imc-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imc-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 imc-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills imc-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/IMC-Skills/skills/imc-reproducibility .cursor/skills/imc-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 "imc-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IMC-Skills/skills/imc-reproducibility into .cursor/skills/imc-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imc-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 IMC-Skills/skills/imc-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 imc-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills imc-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/IMC-Skills/skills/imc-reproducibility .gemini/skills/imc-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 "imc-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IMC-Skills/skills/imc-reproducibility into .gemini/skills/imc-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imc-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 imc-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 imc-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/IMC-Skills/skills/imc-reproducibility .github/skills/imc-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 "imc-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IMC-Skills/skills/imc-reproducibility into .github/skills/imc-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imc-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 imc-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 imc-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/IMC-Skills/skills/imc-reproducibility .opencode/skills/imc-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 "imc-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IMC-Skills/skills/imc-reproducibility into .opencode/skills/imc-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imc-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
imc-reproducibility- GitHub stars
- 1.2k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 554 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when strengthening ACM IMC reproducibility and availability evidence, covering the artifact-availability declaration, measurement provenance (vantage points, dates, tool…
- Strengthening ACM IMC reproducibility and availability evidence
- SKILL.md covers The moving-Internet reality, Evidence map, Availability declaration audit and Provenance pinning, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Covering the artifact-availability declaration
What it does
Imc Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when strengthening ACM IMC reproducibility and availability evidence, covering the artifact-availability declaration, measurement provenance (vantage points, dates, tool versions), dataset release with schema, honest reproducibility for a moving Internet, the Replicability Track, and consistency between what the paper claims and what the released data contains.
Its SKILL.md is about 1.4k 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
- Strengthening ACM IMC reproducibility and availability evidence
- Covering the artifact-availability declaration
- Measurement provenance (vantage points
- Dataset release with schema
Example prompts
- “/imc-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
Imc Reproducibility loads about 1.4k tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 554 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). 554 words, ~1,389 tokens.
Download SKILL.mdSave it as
.claude/skills/imc-reproducibility/SKILL.md (or your agent's skills folder).- name
- imc-reproducibility
- description
- Use when strengthening ACM IMC reproducibility and availability evidence, covering the artifact-availability declaration, measurement provenance (vantage points, dates, tool versions), dataset release with schema, honest reproducibility for a moving Internet, the Replicability Track, and consistency between what the paper claims and what the released data contains.
IMC Reproducibility
Use this before submission and again before camera-ready. IMC treats availability and reproducibility as scored dimensions, not courtesies: the submission carries an artifact-availability declaration, accepted papers are shepherded to deliver it, and IMC runs a dedicated Replicability Track. The goal is that a competent reader could rebuild your analysis from the released data — and re-run your method to gather comparable new data — and reach your conclusions.
The moving-Internet reality
Measurement differs from lab science: you cannot re-collect the same data, because the network changes between runs. So reproducibility at IMC splits in two:
- Analysis reproducibility: the released dataset + scripts regenerate every figure and number in the paper. This you can and must make turnkey.
- Method reproducibility: the tooling and documented vantage-point setup let someone re-run the measurement to obtain comparable (not identical) data. This is what enables replication.
Say which you provide, and never present method reproducibility as if it reproduced your exact numbers.
Evidence map
- Map each finding, claim, and reported number to a verifiable location — a paper section, a figure generated from released data, or a script in the artifact.
- For the measurement, document vantage points (locations, ASes, probe types), timing (dates, durations, cadence), targets (lists with capture dates), tools (versions, configs), and sampling/rate limits.
- Keep the availability declaration truthful and specific: what is shared, where, and — if something cannot be shared — exactly why (privacy, proprietary, legal).
- Keep the paper and the released data consistent: a number in the PDF that no script produces from the released data is read as carelessness.
Availability declaration audit
| Claim in the paper | Weak answer | IMC-ready answer |
|---|---|---|
| "We scan N hosts" | "Data available on request" | Released dataset (or privacy-safe derivative) + scan metadata + scripts |
| "Measured from many vantage points" | Vantage points unnamed | Documented vantage-point table: locations, ASes, probe types, dates |
| "We observe behavior X over time" | Single-snapshot data | Time-stamped longitudinal data + the analysis window stated |
| "Our tool detects Y" | "Code will be released" | Released, runnable tooling with a README and a small example |
| "We used user/traffic data" | Nothing (privacy cited vaguely) | Aggregated/anonymized release + documented privacy method + ethics link |
Show full SKILL.md (207 more words)Show less
Provenance pinning
[Vantage points] record every location/AS/probe-type, and quantify coverage bias
[Timing] measurement dates, durations, cadence; state the analysis window
[Targets] target/seed lists with capture dates; how they were sourced (and their stability)
[Tools] exact tool versions and configs; rate limits and opt-out/blocklist handling
[Sampling] inclusion/exclusion criteria and resulting sample sizes; how you handle churn
[Privacy] the anonymization/aggregation applied before release, matching the Ethics sectionDegrees of reproducibility (state the one you achieved)
- Turnkey analysis: one documented command regenerates each figure/table from released data.
- Scripted analysis: scripts exist but need documented manual steps or restricted-data access.
- Method-only: the tooling and setup are released, but the data cannot be shared (privacy/legal) — a stranger can re-measure, not reproduce your exact numbers.
Aim turnkey for the analysis of any releasable dataset; when data is sensitive, provide a privacy-safe derivative plus method-only reproducibility, and say so plainly.
The Replicability Track
IMC runs a dedicated Replicability Track for work that reproduces or replicates prior measurement results, entered via an Expression of Interest screened by a small committee, then a full submission judged like the main track (priority to replicability over reproducibility). If your contribution is re-measuring a prior study on today's Internet, this is the track — design for a fair, documented re-run and an honest account of what changed and why.
Consistency and camera-ready pass
- Before submission: every scored number traces to the (anonymized) artifact; the availability declaration matches reality; infrastructure is anonymized (no owner strings, AS/probe IDs, lab domains).
- Before camera-ready: swap anonymized links for permanent, DOI-issuing archives; finalize the
documented schema and license; align with any Community Contribution Award intent
(
imc-artifact-evaluation).
Output format
[Claim inventory] <claim -> evidence location>
[Availability] full / partial / none, stated honestly (+ reason)
[Provenance gaps] <vantage points / timing / targets / tool versions / privacy>
[Reproducibility level] turnkey-analysis / scripted / method-only, stated honestly
[Paper fixes] <must appear in the PDF>
[Release fixes] <additions before upload / camera-ready>© 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 IMC-Skills/skills/imc-reproducibility of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Imc 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 |
|---|---|---|---|---|---|---|
| Imc Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.4k | 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 |
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Compute Environment Setup
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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
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Scaffold a complete Bactopia Tool across all three tiers -- module, subworkflow, and workflow entry point under workflows/bactopia-tools/.
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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 Imc Reproducibility
What does Imc Reproducibility do?
A skill your agent uses when strengthening ACM IMC reproducibility and availability evidence, covering the artifact-availability declaration, measurement provenance (vantage points, dates, tool…. Imc Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when strengthening ACM IMC reproducibility and availability evidence, covering the artifact-availability declaration, measurement provenance (vantage points, dates, tool versions), dataset release with schema, honest reproducibility for a moving Internet, the Replicability Track, and consistency between what the paper claims and what the released data contains.
When should I use Imc Reproducibility?
Imc Reproducibility fits situations like: strengthening ACM IMC reproducibility and availability evidence; covering the artifact-availability declaration; measurement provenance (vantage points; dataset release with schema.
How do I install Imc Reproducibility in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill imc-reproducibility -a claude-code`. Or copy the skill folder (IMC-Skills/skills/imc-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/imc-reproducibility in your project. Claude Code loads it when a task matches its description.
How do I install Imc Reproducibility in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill imc-reproducibility -a codex`. Or copy the skill folder (IMC-Skills/skills/imc-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/imc-reproducibility in your project. Codex loads it when a task matches its description.
Can I use Imc 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 imc-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/imc-reproducibility, .gemini/skills/imc-reproducibility, .github/skills/imc-reproducibility and .opencode/skills/imc-reproducibility in your project.
What does Imc Reproducibility need to run?
SKILL.md names no scripts, command-line tools or credentials: Imc Reproducibility is instructions for the agent only.
Does Imc 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 Imc 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 Imc Reproducibility use?
Imc 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 Imc Reproducibility use?
About 1.4k tokens (SKILL.md is roughly 5.6k 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 Imc Reproducibility?
Skills that share tags, products or a category with Imc 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 Imc 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.