Car Data Analysis
franklee16/academic-research-skills
A skill your agent uses when running and reporting the analysis for a Contemporary Accounting Research (CAR) manuscript — the right estimator for archival/capital-markets, experimental, or…
A skill your agent uses when strengthening IROS reproducibility evidence — splitting rerunnable claims from auditable-only real-robot claims, the hardware specification ledger, calibration and…
Install Iros Reproducibility
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iros-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills iros-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/IROS-Skills/skills/iros-reproducibility .claude/skills/iros-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 "iros-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IROS-Skills/skills/iros-reproducibility into .claude/skills/iros-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iros-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/IROS-Skills/skills/iros-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 iros-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills iros-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/IROS-Skills/skills/iros-reproducibility .agents/skills/iros-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 "iros-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IROS-Skills/skills/iros-reproducibility into .agents/skills/iros-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iros-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 iros-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills iros-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/IROS-Skills/skills/iros-reproducibility .cursor/skills/iros-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 "iros-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IROS-Skills/skills/iros-reproducibility into .cursor/skills/iros-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iros-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 IROS-Skills/skills/iros-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 iros-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills iros-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/IROS-Skills/skills/iros-reproducibility .gemini/skills/iros-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 "iros-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IROS-Skills/skills/iros-reproducibility into .gemini/skills/iros-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iros-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 iros-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 iros-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/IROS-Skills/skills/iros-reproducibility .github/skills/iros-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 "iros-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IROS-Skills/skills/iros-reproducibility into .github/skills/iros-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iros-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 iros-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 iros-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/IROS-Skills/skills/iros-reproducibility .opencode/skills/iros-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 "iros-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IROS-Skills/skills/iros-reproducibility into .opencode/skills/iros-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iros-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
iros-reproducibility- GitHub stars
- 1.2k
- Token cost
- ~929 tokens
- SKILL.md length
- 392 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when strengthening IROS reproducibility evidence — splitting rerunnable claims from auditable-only real-robot claims, the hardware specification ledger, calibration and…
- Strengthening IROS reproducibility evidence — splitting rerunnable claims from auditable-only real-robot claims
- SKILL.md covers Evidence map, Rerunnable-versus-auditable…, The hardware specification… and Vignette: a…, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- The hardware specification ledger
What it does
Iros Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when strengthening IROS reproducibility evidence — splitting rerunnable claims from auditable-only real-robot claims, the hardware specification ledger, calibration and parameter disclosure, log capture discipline, honest code/data availability statements, and sim-to-real accounting, all inside a page budget with no supplementary PDF.
Its SKILL.md is about 930 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 Business, Finance & HR, covering Reproducible research, Performance reviews and Accounting and bookkeeping. 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 IROS reproducibility evidence — splitting rerunnable claims from auditable-only real-robot claims
- The hardware specification ledger
- Calibration and parameter disclosure
- Log capture discipline
Example prompts
- “/iros-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
Iros Reproducibility loads about 929 tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 392 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). 392 words, ~929 tokens.
Download SKILL.mdSave it as
.claude/skills/iros-reproducibility/SKILL.md (or your agent's skills folder).- name
- iros-reproducibility
- description
- Use when strengthening IROS reproducibility evidence — splitting rerunnable claims from auditable-only real-robot claims, the hardware specification ledger, calibration and parameter disclosure, log capture discipline, honest code/data availability statements, and sim-to-real accounting, all inside a page budget with no supplementary PDF.
IROS Reproducibility
Use this before submission and again before camera-ready. Robotics reproducibility is not the same as ML reproducibility: a reader usually cannot rerun your robot, so the goal is to make every claim either rerunnable (code/sim someone can execute) or auditable (logs and specs detailed enough to check), and to be honest about which is which.
Evidence map
- Split each claim into rerunnable or auditable. A simulation result should be rerunnable; a real-robot reliability number is auditable through logs and a stated protocol, not rerunnable by a reader.
- For the rerunnable part: pin dependencies, seeds, configs, and an entry point; state the hardware it assumes.
- For the auditable part: give the hardware ledger, calibration, parameters, trial protocol, resets, and representative logs.
- Report the sim-to-real gap explicitly; never let simulation numbers stand in for real ones.
- Write an honest availability statement: what code and data are released, what is withheld and why (proprietary hardware, safety, licensing), and how a reader could approximate reproduction.
- Keep it all in the body — there is no supplementary PDF to park a reproducibility appendix in.
Rerunnable-versus-auditable table
| Claim | Rerunnable evidence | Auditable evidence |
|---|---|---|
| Simulation ablation | Seeded config + script a reader can run | Logged metrics per run |
| Onboard timing | Benchmark script for the compute stack | Power/rate measurement method + logs |
| Real-robot success rate | Not rerunnable by a reader | Trial log, criterion, resets, failure counts |
| Sim-to-real transfer | Sim side rerunnable | Paired real logs + the stated gap |
Marking a real-robot claim as if a reader could "just rerun it" is a recognizable IROS overstatement; name it auditable and make the audit trail complete instead.
Show full SKILL.md (128 more words)Show less
The hardware specification ledger
A result that depends on a specific robot must specify it: platform and revision, sensor models and firmware, actuator limits, onboard computer, and power budget. Two labs with "the same" robot but different firmware or calibration can see different behavior, so the ledger is part of the claim, not metadata.
Vignette: a manipulation-reliability paper
Consider a paper reporting grasp success on unseen objects. Its reproducibility spine: the object set and where to get it, the calibration and gripper parameters, the success criterion and reset procedure, the per-object trial logs, and one honest sentence about the objects where the method fails and why — plus a rerunnable simulation of the grasp planner so the algorithmic core is executable even if the robot is not.
Availability statement skeleton:
Code: <released? which parts? link at acceptance>
Data/objects: <provenance + license, or access route>
Logs: <representative bags for the reported trials>
Withheld: <what + why: proprietary/safety/licensing>
Reproduce-in-principle: <what a reader without the robot can still run>Output format
[Claim inventory] <claim -> rerunnable | auditable + location>
[Hardware ledger] complete / gaps: <list>
[Sim-to-real] gap stated? / implied-zero risk?
[Availability] honest / overpromised / missing
[Body fixes] <what must appear in the paper body>© 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 IROS-Skills/skills/iros-reproducibility of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Iros 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 |
|---|---|---|---|---|---|---|
| Iros Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~929 | Automated safety check: Pass | MIT | |
| Car Data Analysisfranklee16/academic-research-skills | 223 | 1 repos | ~1.3k | Automated safety check: Pass | None | |
| Jqte Io Cgefranklee16/academic-research-skills | 223 | 1 repos | ~419 | Automated safety check: Pass | None | |
| Workflow OrchestrationAnastasiyaW/codex-claude-code-config | 154 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Bio Copy Number Allele Specific Copy NumberGPTomics/bioSkills | 1.2k | 2 repos | ~4k | Automated safety check: Pass | MIT | |
| Bio Copy Number Cnvkit AnalysisGPTomics/bioSkills | 1.2k | 2 repos | ~4.1k | Automated safety check: Pass | MIT |
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Categories
Questions about Iros Reproducibility
What does Iros Reproducibility do?
A skill your agent uses when strengthening IROS reproducibility evidence — splitting rerunnable claims from auditable-only real-robot claims, the hardware specification ledger, calibration and…. Iros Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when strengthening IROS reproducibility evidence — splitting rerunnable claims from auditable-only real-robot claims, the hardware specification ledger, calibration and parameter disclosure, log capture discipline, honest code/data availability statements, and sim-to-real accounting, all inside a page budget with no supplementary PDF.
When should I use Iros Reproducibility?
Iros Reproducibility fits situations like: strengthening IROS reproducibility evidence — splitting rerunnable claims from auditable-only real-robot claims; the hardware specification ledger; calibration and parameter disclosure; log capture discipline.
How do I install Iros Reproducibility in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iros-reproducibility -a claude-code`. Or copy the skill folder (IROS-Skills/skills/iros-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/iros-reproducibility in your project. Claude Code loads it when a task matches its description.
How do I install Iros Reproducibility in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iros-reproducibility -a codex`. Or copy the skill folder (IROS-Skills/skills/iros-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/iros-reproducibility in your project. Codex loads it when a task matches its description.
Can I use Iros 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 iros-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/iros-reproducibility, .gemini/skills/iros-reproducibility, .github/skills/iros-reproducibility and .opencode/skills/iros-reproducibility in your project.
What does Iros Reproducibility need to run?
SKILL.md names no scripts, command-line tools or credentials: Iros Reproducibility is instructions for the agent only.
Does Iros 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 Iros 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 Iros Reproducibility use?
Iros 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 Iros Reproducibility use?
About 929 tokens (SKILL.md is roughly 3.7k 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 Iros Reproducibility?
Skills that share tags, products or a category with Iros Reproducibility: Car Data Analysis (franklee16/academic-research-skills, 223 stars), Jqte Io Cge (franklee16/academic-research-skills, 223 stars), Workflow Orchestration (AnastasiyaW/codex-claude-code-config, 154 stars) and Bio Copy Number Allele Specific Copy Number (GPTomics/bioSkills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Iros 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.