Agent skill · Data & Analytics

ipsn-submission

Use when auditing an IPSN-lineage submission for HotCRP readiness, covering the IP-vs-SPOTS track choice, the ACM Primary Article Template and ≤12-page inclusive budget, the double-blind sweep for hardware/deployment papers, dataset/artifact links, and desk-reject triage — routed to the current successor (SenSys) call because IPSN no longer runs standalone.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ipsn-submission --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-submission/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 Submission Run this audit before uploading. IPSN research papers were **double-blind**, on the **ACM Primary Article Template**, **≤12 pages** inclusive of everything, submitted through **HotCRP** — and split into the **IP** and **SPOTS** tracks. IPSN merged into **SenSys (Embedded AI and Sensing Systems)** from 2025-2026, so reopen the current SenSys call first: the numbers below are the IPSN 2024 (23rd, Hong Kong) snapshot read on 2026-07-09 (see `resources/official-source-map.md`) and the successor may differ (SenSys 2026 posted full 12 / short 6 pages). ## Pick the track before the PDF - **IP track** (Information Processing): algorithms, estimation, signal processing, inference, learning, localization. Reviewed by method reviewers who check soundness, baselines, and whether the information-processing claim holds. - **SPOTS track** (Sensor Platforms, Tools and Design Methods): hardware, embedded software, tools, measurement, deployments. Reviewed for reusability, measured design trade-offs, and real-system evidence. A mis-tracked paper draws the wrong reviewers and loses on the wrong axis. Confirm whether the successor keeps this split or uses a single track with categori

What's inside
Steps it walks through
  1. Pick the track before the PDF
  2. Format and page budget
  3. Double-blind sweep (hardware papers leak in unusual places)
  4. Dataset and artifact at submission
  5. Desk-risk triage
  6. Final-week order of operations
  7. Reverify each cycle
  8. Output format
Commands it runs
Mechanical pass on the submission PDF and any anonymized artifact archive
pdfinfo paper.pdf | grep -Ei 'author|creator|producer'
pdftotext paper.pdf - | grep -nEi 'github\.com/[a-z0-9-]+|gitlab|zenodo\.org/record|doi\.org|acknowledg|grant|university|@[a-z0-9.]+\.edu' | head
unzip -l artifact.zip | grep -Ei '\.git/|\.DS_Store|/home/|/Users/|firmware.*owner' | head
More from Awesome-Journal-Skills
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About this skill
What does the ipsn-submission skill do?

Use when auditing an IPSN-lineage submission for HotCRP readiness, covering the IP-vs-SPOTS track choice, the ACM Primary Article Template and ≤12-page inclusive budget, the double-blind sweep for hardware/deployment papers, dataset/artifact links, and desk-reject triage — routed to the current successor (SenSys) call because IPSN no longer runs standalone.

How do I install it?

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