aistats-supplementary
Use when preparing AISTATS supplementary material, appendices, proof details, code/data archives, simulation scripts, additional tables, and anonymized artifacts under deadline, size, anonymity, and reviewer-discretion constraints, including how to split a theory-plus-experiments paper between body…
Install / Use
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aistats-supplementaryInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Customer SupportSupported Platforms
Our assessment of aistats-supplementary
aistats-supplementary scores 83/100 on our quality scale, 255th of 320 Customer Support skills we index.
Its SKILL.md is 3.5 KB long, split into 6 sections with 1 code example: a solid amount of guidance for an agent.
With 1,158 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 21 days ago, so aistats-supplementary is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-10-06. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
aistats-supplementary compared with similar skills
All 4 of these similar skills score higher than aistats-supplementary; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| aistats-supplementary (this skill)by brycewang-stanford | 83 | 1.2k | 21d ago | SKILL.md |
| algorithmic-artby anthropics | 100 | 177.9k | 13d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 13d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 15d ago | SKILL.md |
| ui-ux-pro-maxby nextlevelbuilder | 100 | 130.2k | 15d ago | SKILL.md |
Frequently asked questions
- How do I install aistats-supplementary?
- Run
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aistats-supplementary. The install tabs above show the steps for each supported agent. - Which AI agents does aistats-supplementary work with?
- It is written for Zed, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is aistats-supplementary safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is aistats-supplementary still maintained?
- The repository was last updated 21 days ago, so aistats-supplementary is actively maintained.
Skill content
View source on GitHubname: aistats-supplementary description: Use when preparing AISTATS supplementary material, appendices, proof details, code/data archives, simulation scripts, additional tables, and anonymized artifacts under deadline, size, anonymity, and reviewer-discretion constraints, including how to split a theory-plus-experiments paper between body and supplement.
AISTATS Supplementary
Use this when assembling AISTATS supplementary material. The supplement can support the paper, but the main submission must remain understandable without it.
Supplement structure
- Put theorem proofs, derivations, extra ablations, simulation details, dataset documentation, and robustness tables in a clean appendix or supplementary manuscript.
- Put executable assets in a separate archive when current OpenReview forms allow it.
- Respect the current supplementary deadline. AISTATS 2026 placed supplementary-material submission after the paper deadline but before review.
- Keep all supplementary files double-blind: no authors, institutions, acknowledgements, private paths, repository owners, grants, or identifying metadata.
- Do not use the supplement to hide essential motivation, core method description, main theorem statements, or primary empirical results.
- Verify archives open on a clean machine and contain no credentials, cache directories, large irrelevant files, or hidden OS metadata.
Appendix architecture for proofs
- Order appendix sections to mirror main-text theorem order; statistician reviewers navigate by theorem number, not by page.
- Restate each theorem before its proof so the appendix reads standalone without flipping back to the two-column body.
- Standard partition: notation and assumptions, main proofs, auxiliary lemmas, additional simulations, then real-data details.
- Keep one proof-sketch paragraph per major theorem in the body itself; an AISTATS submission whose entire argument lives in the supplement reads as unreviewable within the page limit.
- Cross-reference every appendix table and lemma from the body at least once; orphaned supplement material is invisible to reviewers and wasted under reviewer discretion.
- If the cycle allows appendices inside the main PDF after the references, confirm against the current instructions whether that or a separate file upload is expected.
What gets opened first
| Supplement item | Inspection likelihood | Practical implication | |---|---|---| | Proof of the headline theorem | High | Polish it to main-text standard | | Extra ablation and robustness tables | Medium | Reference each one from the body | | Code archive | Variable, reviewer discretion | The README must orient a reader in one minute | | Raw experiment logs | Low | Include for completeness, never rely on them |
Vignette: splitting an optimization paper
A submission proving a convergence guarantee for a stochastic mirror-descent variant, plus benchmark plots: the body keeps the theorem, the key lemma, the proof roadmap, and two decision-critical figures; the appendix holds full proofs and step-size sensitivity grids; the archive carries the seeded experiment runner. Nothing decision-critical lives only in the archive, because archive inspection at AISTATS is discretionary.
Output format
[Supplement status] Ready / Needs fixes / Not ready
[Files] <appendix/proofs/code/data/logs>
[Deadline] <current supplement deadline and source>
[Anonymity checks] <passed/issues>
[Main-paper dependency] <what breaks if supplement is ignored>
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
