Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
Agent skill
Mobicom Reproducibility
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when making a MobiCom result reproducible on a different testbed — recording radio, hardware, channel, and mobility provenance as the runs happen, characterizing the variance…
Install Mobicom Reproducibility
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill mobicom-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills mobicom-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/MobiCom-Skills/skills/mobicom-reproducibility .claude/skills/mobicom-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 "mobicom-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/MobiCom-Skills/skills/mobicom-reproducibility into .claude/skills/mobicom-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mobicom-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/MobiCom-Skills/skills/mobicom-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 mobicom-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills mobicom-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/MobiCom-Skills/skills/mobicom-reproducibility .agents/skills/mobicom-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 "mobicom-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/MobiCom-Skills/skills/mobicom-reproducibility into .agents/skills/mobicom-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mobicom-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 mobicom-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills mobicom-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/MobiCom-Skills/skills/mobicom-reproducibility .cursor/skills/mobicom-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 "mobicom-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/MobiCom-Skills/skills/mobicom-reproducibility into .cursor/skills/mobicom-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mobicom-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 MobiCom-Skills/skills/mobicom-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 mobicom-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills mobicom-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/MobiCom-Skills/skills/mobicom-reproducibility .gemini/skills/mobicom-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 "mobicom-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/MobiCom-Skills/skills/mobicom-reproducibility into .gemini/skills/mobicom-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mobicom-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 mobicom-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 mobicom-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/MobiCom-Skills/skills/mobicom-reproducibility .github/skills/mobicom-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 "mobicom-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/MobiCom-Skills/skills/mobicom-reproducibility into .github/skills/mobicom-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mobicom-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 mobicom-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 mobicom-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/MobiCom-Skills/skills/mobicom-reproducibility .opencode/skills/mobicom-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 "mobicom-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/MobiCom-Skills/skills/mobicom-reproducibility into .opencode/skills/mobicom-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mobicom-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
mobicom-reproducibility- GitHub stars
- 1.2k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 465 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when making a MobiCom result reproducible on a different testbed — recording radio, hardware, channel, and mobility provenance as the runs happen, characterizing the variance…
- Making a MobiCom result reproducible on a different testbed — recording radio
- SKILL.md covers The provenance ledger, Characterize the variance, do…, What can legally and safely ship and A hardware-optional…, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Mobility provenance as the runs happen
What it does
Mobicom Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when making a MobiCom result reproducible on a different testbed — recording radio, hardware, channel, and mobility provenance as the runs happen, characterizing the variance that over-the-air measurement introduces, and deciding early which traces, firmware, and deployment data can legally and safely ship for artifact evaluation.
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
- Making a MobiCom result reproducible on a different testbed — recording radio
- Mobility provenance as the runs happen
- Characterizing the variance that over-the-air measurement introduces
- Deciding early which traces
Example prompts
- “/mobicom-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
Mobicom Reproducibility loads about 1.2k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 465 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). 465 words, ~1,169 tokens.
Download SKILL.mdSave it as
.claude/skills/mobicom-reproducibility/SKILL.md (or your agent's skills folder).- name
- mobicom-reproducibility
- description
- Use when making a MobiCom result reproducible on a different testbed — recording radio, hardware, channel, and mobility provenance as the runs happen, characterizing the variance that over-the-air measurement introduces, and deciding early which traces, firmware, and deployment data can legally and safely ship for artifact evaluation.
MobiCom Reproducibility
Reproducibility at MobiCom is harder than at a compute-only venue because the experiment includes a physical radio channel that no one else has. The goal is not bit-identical reruns; it is enough provenance that a reader with a different testbed can tell whether a mismatch is their setup or your claim. Provenance is captured while the runs happen — it cannot be reconstructed after the testbed is torn down.
The provenance ledger
Keep a machine-readable record per experiment, written as the run executes:
Per-run provenance record:
radio: SDR/NIC model, firmware/driver version, carrier freq, bandwidth, TX power
rf_frontend: antenna type, gain, cabling, amplifiers
topology: node count, positions/distances, LOS/NLOS, host specs
channel: RSSI/CSI traces, measured interference, coherence-time estimate
mobility: walker paths, speeds, schedule (or "stationary")
energy: instrument, sampling rate, measured boundary
software: code commit hash, config diffs from defaults, analysis-script hash
outputs: raw-capture location, per-figure derivation scriptThis ledger is simultaneously the evaluation record (mobicom-experiments), the
artifact-evaluation seed (mobicom-artifact-evaluation), and the insurance policy for a
one-shot revision that asks you to re-run months later on the same setup
(mobicom-author-response).
Characterize the variance, do not hide it
Over-the-air numbers move between runs. A reproducible MobiCom result states its spread:
| Source of variance | How to characterize it |
|---|---|
| Channel realization | repeat across times of day / room states; report the distribution |
| Interference | log the ambient band occupancy during runs; note co-channel activity |
| Hardware unit | test more than one radio/tag where feasible; note per-unit drift |
| Mobility | multiple walker paths and speeds; report per-path spread |
| Thermal / time | long runs to expose drift; report start-vs-end |
If a headline figure comes from one favorable channel realization, it is not yet a claim about the mechanism — say what varied and report the range, not the best run.
What can legally and safely ship
Decide early, because it constrains both the artifact and the anonymity sweep:
- Raw captures and traces: confirm the collection did not record identifiable users or protected content; strip or aggregate what cannot ship. IRB or site conditions may bind release.
- Firmware and proprietary radio stacks: often not redistributable — plan a description and a substitute rather than a broken artifact.
- Deployment-site data: building maps, floor plans, or site identifiers can both
de-anonymize (
mobicom-submission) and violate a site agreement; generalize them. - Third-party datasets: ship a loader and instructions, not a re-hosted copy, unless the license permits.
Show full SKILL.md (140 more words)Show less
A hardware-optional reproduction path
Most readers and most artifact evaluators will not have your radios. Plan, from the start, a path that does not require them:
- A trace-replay mode that feeds recorded captures through the same decode/analysis pipeline, so the processing is reproducible without a testbed.
- A downscaled configuration (fewer nodes, shorter distance) an evaluator can run on common hardware to reach a Functional result.
- Expected-output and expected-variance files, so a rerun that differs by a known margin reads as success, not failure.
Audit checklist
- Provenance ledger captured per run, not reconstructed.
- RF, channel, and mobility conditions recorded with each headline result.
- Variance sources characterized; ranges reported, not single best runs.
- Legal/ethical shipping decision made for traces, firmware, and site data.
- Trace-replay or downscaled path exists for testbed-less reproduction.
- Analysis scripts version-pinned to the raw captures they consume.
Output format
[Provenance] ledger present per run? gaps named
[Variance] which sources characterized; which unmeasured
[Shipping] traces / firmware / site data — ship, strip, or substitute (each)
[Testbed-less path] trace-replay / downscaled present? y/n
[Risks] the reruns most likely to diverge, and why© 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 MobiCom-Skills/skills/mobicom-reproducibility of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Mobicom 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 |
|---|---|---|---|---|---|---|
| Mobicom 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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Related
Categories
Questions about Mobicom Reproducibility
What does Mobicom Reproducibility do?
A skill your agent uses when making a MobiCom result reproducible on a different testbed — recording radio, hardware, channel, and mobility provenance as the runs happen, characterizing the variance…. Mobicom Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when making a MobiCom result reproducible on a different testbed — recording radio, hardware, channel, and mobility provenance as the runs happen, characterizing the variance that over-the-air measurement introduces, and deciding early which traces, firmware, and deployment data can legally and safely ship for artifact evaluation.
When should I use Mobicom Reproducibility?
Mobicom Reproducibility fits situations like: making a MobiCom result reproducible on a different testbed — recording radio; mobility provenance as the runs happen; characterizing the variance that over-the-air measurement introduces; deciding early which traces.
How do I install Mobicom Reproducibility in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill mobicom-reproducibility -a claude-code`. Or copy the skill folder (MobiCom-Skills/skills/mobicom-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/mobicom-reproducibility in your project. Claude Code loads it when a task matches its description.
How do I install Mobicom Reproducibility in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill mobicom-reproducibility -a codex`. Or copy the skill folder (MobiCom-Skills/skills/mobicom-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/mobicom-reproducibility in your project. Codex loads it when a task matches its description.
Can I use Mobicom 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 mobicom-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/mobicom-reproducibility, .gemini/skills/mobicom-reproducibility, .github/skills/mobicom-reproducibility and .opencode/skills/mobicom-reproducibility in your project.
What does Mobicom Reproducibility need to run?
SKILL.md names no scripts, command-line tools or credentials: Mobicom Reproducibility is instructions for the agent only.
Does Mobicom 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 Mobicom 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 Mobicom Reproducibility use?
Mobicom 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 Mobicom 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 Mobicom Reproducibility?
Skills that share tags, products or a category with Mobicom 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 Mobicom 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.