Agent skill · Data & Analytics

iros-artifact-evaluation

Use when packaging IROS evidence for a skeptical reviewer even though IROS runs no formal artifact track — the robotics artifact stack of hardware ledger, logs, configs, code, and data, what an embodied-systems reviewer opens first, review-time anonymity versus acceptance-time public release, and making a claim auditable not asserted.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iros-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: 4 KB
Bundled scripts: none
Path: IROS-Skills/skills/iros-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

# IROS Artifact Evaluation IROS has no formal artifact-evaluation track or badge, so "artifact" here means the evidence bundle a reviewer *could* inspect and that a careful author prepares anyway. The audience is an embodied-systems reviewer who trusts a logged trajectory over a claimed one, and who cannot rerun your robot but can read your logs, configs, and code. ## The robotics artifact stack - **Hardware ledger:** platform, sensors (make/model/firmware), actuators, onboard computer, and power budget — the embodiment the result depends on. - **Logs:** time-stamped rosbag-equivalent recordings for representative trials, so a claim about a contact force or trajectory is auditable. - **Configs:** the exact parameters, calibration, and launch files that produced the reported runs. - **Code:** the system as run, with an entry point and a one-minute orientation in the README. - **Data:** any dataset or object set, with provenance and licensing; for restricted data, enough detail for credible reproduction without violating terms. ## What an IROS reviewer inspects first | Claim type | First artifact inspected | Common failure caught | |---|---|---| | "Runs onboard at rate X" | Timing lo

What's inside
Steps it walks through
  1. The robotics artifact stack
  2. What an IROS reviewer inspects first
  3. Review-time versus acceptance-time states
  4. Worked vignette: packaging a field-robot result
  5. Output format
More from Awesome-Journal-Skills
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About this skill
What does the iros-artifact-evaluation skill do?

Use when packaging IROS evidence for a skeptical reviewer even though IROS runs no formal artifact track — the robotics artifact stack of hardware ledger, logs, configs, code, and data, what an embodied-systems reviewer opens first, review-time anonymity versus acceptance-time public release, and making a claim auditable not asserted.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iros-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