Agent skill · Security

icra-artifact-evaluation

Use when packaging the artifacts behind an ICRA paper — ROS packages, controllers, simulation environments, trained policies, CAD and PCB files, datasets, and trial logs — into something a robotics reviewer or reader can actually run or audit, given that ICRA has no formal artifact-badging track to certify it for you.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icra-artifact-evaluation --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: ICRA-Skills/skills/icra-artifact-evaluation/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# ICRA Artifact Evaluation ICRA, unlike several software-systems conferences, has had no standing artifact evaluation committee or badge system in recent cycles (re-check the current year's calls before asserting this to authors — tracks appear and disappear). The absence cuts both ways: nobody will certify your artifact, and nobody will catch its problems before readers do. This skill applies an artifact-evaluator's discipline voluntarily, because in robotics the artifact often *is* the contribution's proof. ## The robotics artifact stack A robotics paper's artifact is rarely just "the code." Inventory all six layers and decide, per layer, released / partially released / withheld-with-reason: | Layer | Typical contents | Common blocker | |---|---|---| | Algorithms | planners, controllers, learning code | none — release | | Integration | ROS launch files, configs, calibration | "works only on our stack" | | Simulation | worlds, robot models (URDF/SDF), randomization | third-party asset licenses | | Learned weights | trained policies, perception models | training data licensing | | Hardware design | CAD, PCB, BOM for custom parts | patent/commercialization plans | | Evidence | rosba

What's inside
Steps it walks through
  1. The robotics artifact stack
  2. The five-minute-skeptic standard
  3. Hardware-dependent artifacts
  4. Datasets and logs as artifacts
  5. Review-time vs acceptance-time states
  6. Safety as an artifact property
  7. Withholding honestly
  8. Packaging sequence
  9. Output format
Commands it runs
git clone <anonymized-artifact-url> && cd artifact
docker build -t icra-artifact .          # or: ./setup.sh — one command, pinned deps
docker run icra-artifact make figure3    # regenerate a headline result in sim
docker run icra-artifact make table2     # recompute stats from released logs
cat CLAIMS.md                            # claim → command → expected output map
More from Awesome-Journal-Skills
All skills →
About this skill
What does the icra-artifact-evaluation skill do?

Use when packaging the artifacts behind an ICRA paper — ROS packages, controllers, simulation environments, trained policies, CAD and PCB files, datasets, and trial logs — into something a robotics reviewer or reader can actually run or audit, given that ICRA has no formal artifact-badging track to certify it for you.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icra-artifact-evaluation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going