Agent skill · Code Review & Quality

ipsn-review-process

Use when reasoning about how an IPSN-lineage submission is evaluated, covering double-blind review, the per-track (IP / SPOTS) program committees, the rebuttal, Best Paper and Best Research Artifact judging, and how IPSN's process differs from SenSys's revision model, OpenReview venues, and CPS-IoT Week neighbors.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ipsn-review-process --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: IPSN-Skills/skills/ipsn-review-process/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

# IPSN Review Process Model the pipeline before interpreting any single review. IPSN's process is **double-blind, per-track, and conference-style** (not journal-style): a submission is read by a program committee matched to its track — **IP** or **SPOTS** — and returns an accept/reject decision, usually with a rebuttal opportunity. Because IPSN merged into **SenSys**, confirm the successor's exact mechanics on the current call; the structure below is the IPSN-lineage model and what to expect. ## Process model - Submission and review run on **HotCRP** with **double-blind** anonymity: author identities are hidden from reviewers and reviewer identities from authors. - Papers are matched to reviewers **by track**. An **IP-track** paper is read by method reviewers (estimation, signal processing, learning, localization); a **SPOTS-track** paper by platform/systems reviewers (hardware, embedded software, tools, deployment). This is why the track choice in `ipsn-submission` matters so much. - Reviewers weigh: the **soundness** of the information-processing method or platform design; whether the **evidence is real** (real sensors, ground truth, measured energy/latency, honest deployment num

What's inside
Steps it walks through
  1. Process model
  2. What each track's reviewers check first
  3. Reading a decision against the criteria
  4. How IPSN differs from its neighbors and successor
  5. Where author leverage actually exists
  6. Best Paper and Best Research Artifact judging
  7. Misreadings to avoid
  8. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the ipsn-review-process skill do?

Use when reasoning about how an IPSN-lineage submission is evaluated, covering double-blind review, the per-track (IP / SPOTS) program committees, the rebuttal, Best Paper and Best Research Artifact judging, and how IPSN's process differs from SenSys's revision model, OpenReview venues, and CPS-IoT Week neighbors.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ipsn-review-process --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