A skill your agent uses when deciding what belongs in a CVPR supplementary upload versus the 8-page body, covering the one-week-later supplement deadline, video and qualitative-result norms in…

MITAuto-check passedAI & LLM Engineering

Install Cvpr Supplementary

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cvpr-supplementary -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cvpr-supplementary --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/CVPR-Skills/skills/cvpr-supplementary .claude/skills/cvpr-supplementary && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
cvpr-supplementary
GitHub stars
1.2k
Token cost
~1.7k tokens
SKILL.md length
796 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when deciding what belongs in a CVPR supplementary upload versus the 8-page body, covering the one-week-later supplement deadline, video and qualitative-result norms in…

  • Works in 6 steps: Dangling pointers — "see Suppl. E" where… → Numbering resets — supplement tables… → Contradictory hyperparameters — the body… → …
  • Deciding what belongs in a CVPR supplementary upload versus the 8-page body
  • SKILL.md covers The placement decision, Video is evidence, not marketing, The extra week is for… and Structure a tired reviewer can…, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Cvpr Supplementary is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding what belongs in a CVPR supplementary upload versus the 8-page body, covering the one-week-later supplement deadline, video and qualitative-result norms in computer vision, anonymous code packaging, the no-external-links rule, and keeping decision-critical evidence out of material reviewers may skip.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Computer vision. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Deciding what belongs in a CVPR supplementary upload versus the 8-page body
  • Covering the one-week-later supplement deadline
  • Video and qualitative-result norms in computer vision
  • Anonymous code packaging

Example prompts

  • “/cvpr-supplementary”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Dangling pointers — "see Suppl. E" where the supplement stops at D, usually
  2. Numbering resets — supplement tables restarting at "Table 1", colliding with
  3. Contradictory hyperparameters — the body says 90 epochs, the supplement's
  4. Un-anonymized third-party assets — a baseline's output video with its authors'
  5. Compression damage — qualitative comparisons where JPEG artifacts exceed the
  6. The kitchen-sink PDF — 40 unnumbered pages of grids with no table of contents,

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Cvpr Supplementary loads about 1.7k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 796 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 796 words, ~1,654 tokens.

Download SKILL.mdSave it as .claude/skills/cvpr-supplementary/SKILL.md (or your agent's skills folder).
name
cvpr-supplementary
description
Use when deciding what belongs in a CVPR supplementary upload versus the 8-page body, covering the one-week-later supplement deadline, video and qualitative-result norms in computer vision, anonymous code packaging, the no-external-links rule, and keeping decision-critical evidence out of material reviewers may skip.

CVPR Supplementary Material

CVPR gives supplementary material its own deadline — November 20 in the 2026 cycle, one week after the November 13 paper deadline — and vision reviewers open supplements more than reviewers at most venues, because qualitative evidence lives there. That makes the supplement a designed deliverable, not an attic. Facts below are the 2026 cycle as read on 2026-07-08.

The placement decision

One rule sorts everything: anything a reviewer needs to judge the claims must be in the 8-page body. The supplement is legitimately for depth on things the body already establishes. A useful decision table:

ContentBody or supplement?Reasoning
Headline quantitative resultsBodyThe claim itself
Core ablation (the one that justifies the design)BodyReviewers rank papers on it
Full ablation grids, extra datasetsSupplementDepth on an established point
Method details needed to believe the numbersBody (compressed)"See supplement" for correctness reads as evasion
Derivations, proofs, extra mathSupplementVision reviewers spot-check
Qualitative result grids beyond page 8SupplementExpected and widely read
Failure casesBoth: one in body, catalog in supplementHonesty signal reviewers reward
Video results (tracking, generation, 3D, robotics)SupplementThe only sanctioned channel — external video links are banned
Code + configsSupplementSee cvpr-artifact-evaluation

Video is evidence, not marketing

For temporal or 3D work, the video is the result, and since external links are prohibited, the uploaded file is your one shot:

  • Lead with uncut, representative sequences; put comparisons side-by-side with labeled methods (anonymized — "Ours" vs "[24]", never lab-recognizable branding).
  • Include at least one failure sequence; a flawless reel reads as curation.
  • Keep an index (README.txt) mapping each clip to the paper section it supports.
  • Strip authorship metadata from containers; MP4 tags leak names more often than PDFs.
  • Mind size: the 2026 cap on supplement uploads was not verifiable (待核实) — compress to survive a strict cap and check the current page before rendering hours of footage.

The extra week is for packaging, not new results

The supplement deadline trailing the paper by a week is a packaging window. The submitted PDF is frozen; a supplement that introduces results the body never mentions effectively smuggles content past the page limit, and reviewers treat it that way. Legitimate week-two work: rendering video, cleaning code, formatting the extended tables the body already cites. Every body reference ("see Suppl. B") must resolve — a dangling pointer is the most common supplement bug at every CVF venue.

Structure a tired reviewer can navigate

text
supplement.zip
├── suppl.pdf            # A: extended results · B: ablation grids · C: failures
│                        # D: implementation detail · E: derivations
├── videos/
│   ├── README.txt       # clip → claim map, one line each
│   ├── 01_main_comparison.mp4
│   └── 02_failure_modes.mp4
└── code/                # scrubbed; see cvpr-artifact-evaluation
    └── REPRODUCE.md     # table/figure → command

Use the same numbering scheme as the paper (Suppl. Table 7 continues Table 6), start the supplement PDF with a half-page table of contents, and repeat each research question above its ablation grid so sections stand alone.

Show full SKILL.md (353 more words)Show less

Recurring supplement bugs, ranked by frequency

Seen across CVF-venue submission cycles; all are findable in a one-hour audit:

  1. Dangling pointers — "see Suppl. E" where the supplement stops at D, usually after a late reorganization. Grep the body for Suppl and resolve each.
  2. Numbering resets — supplement tables restarting at "Table 1", colliding with the body's Table 1 in reviews ("which Table 1?").
  3. Contradictory hyperparameters — the body says 90 epochs, the supplement's config dump says 100, because one was updated post-freeze. Generate both from the recipe ledger.
  4. Un-anonymized third-party assets — a baseline's output video with its authors' watermark, or a dataset figure carrying a lab logo.
  5. Compression damage — qualitative comparisons where JPEG artifacts exceed the method differences being illustrated; export lossless crops for the regions the text argues about.
  6. The kitchen-sink PDF — 40 unnumbered pages of grids with no table of contents, which reviewers close after page 2. Curated depth beats exhaustive depth.

Anonymity applies with full force

The supplement is reviewed double-blind under the same rules as the paper: no author names in code headers, no institutional dataset paths, no acknowledgements, no grant IDs, no watermark from a lab's internal tooling. And the external-link ban applies — a "project page" URL inside the supplement PDF is a policy violation, not a shortcut.

How reviewers actually consume it

Design for the observed reading pattern, not the hoped-for one: the supplement gets opened (a) right after the body's qualitative section, looking for more examples and the failure cases, (b) during score justification, verifying one implementation detail, and (c) in discussion week, when another reviewer cites it. Each entry point should land in seconds — which is why the table of contents, paper-continuous numbering, and the clip-to-claim README are not cosmetics but the difference between a supplement that testifies for you and one that never takes the stand.

Reverify each cycle

  • Supplement deadline offset and whether late supplement upload is still permitted.
  • Size caps and accepted formats (待核实 for 2026).
  • Whether reviewers are formally told supplements are optional reading — phrase body pointers so the paper survives an unopened supplement either way.

Output format

text
[Supplement audit] ship-ready / issues
[Placement violations] decision-critical content found in supplement: <list or none>
[Video] clips indexed · failures included · metadata stripped
[Pointer check] body references resolving: <n/m>
[Anonymity] clean / leaks: <locations>
[Size] archive size vs current cap (cap 待核实)

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in CVPR-Skills/skills/cvpr-supplementary of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Cvpr Supplementary

What does Cvpr Supplementary do?

A skill your agent uses when deciding what belongs in a CVPR supplementary upload versus the 8-page body, covering the one-week-later supplement deadline, video and qualitative-result norms in…. Cvpr Supplementary is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding what belongs in a CVPR supplementary upload versus the 8-page body, covering the one-week-later supplement deadline, video and qualitative-result norms in computer vision, anonymous code packaging, the no-external-links rule, and keeping decision-critical evidence out of material reviewers may skip.

When should I use Cvpr Supplementary?

Cvpr Supplementary fits situations like: deciding what belongs in a CVPR supplementary upload versus the 8-page body; covering the one-week-later supplement deadline; video and qualitative-result norms in computer vision; anonymous code packaging.

How do I install Cvpr Supplementary in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cvpr-supplementary -a claude-code`. Or copy the skill folder (CVPR-Skills/skills/cvpr-supplementary in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/cvpr-supplementary in your project. Claude Code loads it when a task matches its description.

How do I install Cvpr Supplementary in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cvpr-supplementary -a codex`. Or copy the skill folder (CVPR-Skills/skills/cvpr-supplementary in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/cvpr-supplementary in your project. Codex loads it when a task matches its description.

Can I use Cvpr Supplementary in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cvpr-supplementary -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cvpr-supplementary, .gemini/skills/cvpr-supplementary, .github/skills/cvpr-supplementary and .opencode/skills/cvpr-supplementary in your project.

What does Cvpr Supplementary need to run?

SKILL.md names no scripts, command-line tools or credentials: Cvpr Supplementary is instructions for the agent only.

Does Cvpr Supplementary access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Cvpr Supplementary safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Cvpr Supplementary use?

Cvpr Supplementary is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cvpr Supplementary use?

About 1.7k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Cvpr Supplementary?

Skills that share tags, products or a category with Cvpr Supplementary: Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars), Yolo Master Agent (Tencent/YOLO-Master, 747 stars) and Video Understand (jjyaoao/HelloAgents, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cvpr Supplementary?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.