Audit Preparation
sickn33/agentic-awesome-skills
Audit preparation register: required document, period covered, request and receipt dates, preparer and reviewer, auditor queries and adjustments.
A skill your agent uses when preparing the final version of a conditionally accepted SIGGRAPH / SIGGRAPH Asia Technical Paper for publication in ACM Transactions on Graphics, covering the…
MITAuto-check passed
Install Siggraph Camera Ready
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill siggraph-camera-ready -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills siggraph-camera-ready --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/SIGGRAPH-Skills/skills/siggraph-camera-ready .claude/skills/siggraph-camera-ready && rm -rf skills-srcUse ~/.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/
Install the "siggraph-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGGRAPH-Skills/skills/siggraph-camera-ready into .claude/skills/siggraph-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "siggraph-camera-ready", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGGRAPH-Skills/skills/siggraph-camera-readyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill siggraph-camera-ready -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills siggraph-camera-ready --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/SIGGRAPH-Skills/skills/siggraph-camera-ready .agents/skills/siggraph-camera-ready && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "siggraph-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGGRAPH-Skills/skills/siggraph-camera-ready into .agents/skills/siggraph-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "siggraph-camera-ready", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill siggraph-camera-ready -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills siggraph-camera-ready --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/SIGGRAPH-Skills/skills/siggraph-camera-ready .cursor/skills/siggraph-camera-ready && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "siggraph-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGGRAPH-Skills/skills/siggraph-camera-ready into .cursor/skills/siggraph-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "siggraph-camera-ready", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path SIGGRAPH-Skills/skills/siggraph-camera-ready--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill siggraph-camera-ready -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills siggraph-camera-ready --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/SIGGRAPH-Skills/skills/siggraph-camera-ready .gemini/skills/siggraph-camera-ready && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "siggraph-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGGRAPH-Skills/skills/siggraph-camera-ready into .gemini/skills/siggraph-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "siggraph-camera-ready", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills siggraph-camera-readyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill siggraph-camera-ready -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/SIGGRAPH-Skills/skills/siggraph-camera-ready .github/skills/siggraph-camera-ready && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "siggraph-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGGRAPH-Skills/skills/siggraph-camera-ready into .github/skills/siggraph-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "siggraph-camera-ready", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill siggraph-camera-ready -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills siggraph-camera-ready --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/SIGGRAPH-Skills/skills/siggraph-camera-ready .opencode/skills/siggraph-camera-ready && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "siggraph-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGGRAPH-Skills/skills/siggraph-camera-ready into .opencode/skills/siggraph-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "siggraph-camera-ready", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
siggraph-camera-ready- GitHub stars
- 1.2k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 477 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when preparing the final version of a conditionally accepted SIGGRAPH / SIGGRAPH Asia Technical Paper for publication in ACM Transactions on Graphics, covering the…
- Covering the second-stage committee verification
- SKILL.md covers Clear the conditions first, TOG journal metadata and rights, Format and length at final and The final media are part of…, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- TOG journal metadata and DOI
What it does
Siggraph Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the final version of a conditionally accepted SIGGRAPH / SIGGRAPH Asia Technical Paper for publication in ACM Transactions on Graphics, covering the second-stage committee verification, TOG journal metadata and DOI, ACM rights and CCS concepts, final results video and representative image, and permanent code/data links.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
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
- Covering the second-stage committee verification
- TOG journal metadata and DOI
- ACM rights and CCS concepts
- Final results video and representative image
Example prompts
- “/siggraph-camera-ready”
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
Siggraph Camera Ready loads about 1.2k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 477 words of instructions outside code blocks.
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). 477 words, ~1,176 tokens.
Download SKILL.mdSave it as
.claude/skills/siggraph-camera-ready/SKILL.md (or your agent's skills folder).- name
- siggraph-camera-ready
- description
- Use when preparing the final version of a conditionally accepted SIGGRAPH / SIGGRAPH Asia Technical Paper for publication in ACM Transactions on Graphics, covering the second-stage committee verification, TOG journal metadata and DOI, ACM rights and CCS concepts, final results video and representative image, and permanent code/data links.
SIGGRAPH Camera-Ready
A SIGGRAPH accept is a conditional accept: your paper is not done until a Technical Papers
Committee member has verified the final version in the second reviewing process. The output is
an ACM Transactions on Graphics (TOG) journal article (e.g., SIGGRAPH 2026 = TOG Vol. 45,
Issue 4), so the camera-ready is a journal production task, not a proceedings cleanup. Facts below
trace to resources/official-source-map.md; reconfirm the current TOG production checklist and
deadlines.
Clear the conditions first
Conditional acceptance came with required changes. Before any production polish:
- Turn every condition from the decision and reviews into a concrete edit, and keep a change map the second-stage reviewer can follow.
- Re-run and re-render anything a condition touched — a corrected artifact means a re-rendered video and re-generated figure, not a caption edit.
- Do not smuggle in unrequested new results that could reopen the review; deliver the conditions, strengthen the writing, stop.
TOG journal metadata and rights
Because the paper publishes as a TOG article, complete the journal apparatus:
- ACM rights form (eRights) — obtain the correct copyright/permission block and DOI, and paste the exact rights text and DOI into the paper.
- ACM CCS concepts and author keywords — required TOG metadata; pick concepts that match the contribution, not a generic list.
- ACM Reference Format citation and the correct TOG volume/issue/article-number/month; the article number replaces page ranges in the journal.
- ORCIDs and confirmed author order and affiliations — the author list was locked at the form deadline; only correct affiliation/spelling, not membership.
Format and length at final
- Recompile against the current
acmart(>= 2.16) class in the journal (acmtog) format the final version requires; do not modify the class file. - The single-column journal layout differs from the review PDF — reflow figures and the teaser, check that no figure crosses the margin, and confirm all fonts embed.
- Journal-track final versions may relax the review page cap; confirm the current-cycle length policy and the figures-only-page rules before adding material.
Show full SKILL.md (156 more words)Show less
The final media are part of the publication
- Representative image — supply the high-resolution final still the program and DL will use.
- Final supplemental video — re-encode at the required resolution/codec; caption it; ensure it matches the accepted (revised) results, and that you hold rights to every frame.
- Permanentize code/data links — replace any review-time placeholder with a stable archive
(Zenodo DOI or Software Heritage) so the published article's links do not rot; this also sets you
up for the Graphics Replicability Stamp (see
siggraph-artifact-evaluation).
Production checklist
[Conditions] every required change made and mapped for the second-stage reviewer? yes/no
[Class] acmart >=2.16, acmtog final format, unmodified .cls, fonts embedded
[Rights] ACM eRights done; DOI + rights block pasted; ACM Reference Format present
[Metadata] CCS concepts, keywords, ORCIDs, TOG vol/issue/article number correct
[Media] high-res representative image + final results video (rights cleared)
[Links] code/data on a permanent archive (DOI/Software Heritage), not a personal URL
[Proof] re-read the compiled journal PDF cold; watch the final video end to endCommon camera-ready failures
- Treating conditional accept as unconditional and skipping a required change — the second-stage reviewer can hold the paper.
- Shipping a review-quality video with the journal article, or one that no longer matches the revised results.
- Missing or wrong TOG article number / rights block — a production-desk bounce.
- Un-embedded fonts or an outdated acmart class at final.
- Leaving a personal GitHub link that will break, instead of a DOI-bearing archive.
Output format
[Camera-ready status] ready / blocked
[Conditions cleared] yes/no + change map link
[TOG metadata] rights/DOI/CCS/article-number all set? yes/no
[Media] final image + video rights-cleared and results-consistent? yes/no
[Archive] permanent code/data DOI in place? yes/no
[Blocking items] <ordered>© 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 SIGGRAPH-Skills/skills/siggraph-camera-ready of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Siggraph Camera Ready next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Siggraph Camera Ready this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Audit Preparationsickn33/agentic-awesome-skills | 47k | 1 repos | ~5.3k | Automated safety check: Pass | MIT | |
| QA Acceptancepaperclipai/paperclip | 99k | — | ~964 | Automated safety check: Pass | MIT | |
| Release PreparationCherryHQ/cherry-studio | 52k | — | ~4.3k | Automated safety check: Pass | AGPL-3.0 | |
| Acceptance Orchestratorsickn33/agentic-awesome-skills | 47k | 2 repos | ~943 | Automated safety check: Pass | MIT | |
| Acceptance Evidence for Deliverieslobehub/lobehub | 83k | — | ~9.7k | Automated safety check: Pass | Apache-2.0 |
Similar skills
QA Acceptance
paperclipai/paperclip
Produce QA acceptance criteria and a manual validation plan for a feature change — golden path, edge cases, error states, performance limits, and explicit pass/fail evidence.
Release Preparation
CherryHQ/cherry-studio
Prepares a Cherry Studio release by resolving the version, collecting commits, writing bilingual release notes, updating version files and creating a release branch.
Acceptance Orchestrator
sickn33/agentic-awesome-skills
A skill your agent uses when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention.
Acceptance Evidence for Deliveries
lobehub/lobehub
Verifies a delivery end to end by driving the real product on a CLI, web, desktop or iOS Simulator surface, capturing evidence and publishing a round with the lh CLI.
Prepare Paperclip PR
paperclipai/paperclip
Prepare a Paperclip branch for PR with commits, template body, and checks.
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Questions about Siggraph Camera Ready
What does Siggraph Camera Ready do?
A skill your agent uses when preparing the final version of a conditionally accepted SIGGRAPH / SIGGRAPH Asia Technical Paper for publication in ACM Transactions on Graphics, covering the…. Siggraph Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the final version of a conditionally accepted SIGGRAPH / SIGGRAPH Asia Technical Paper for publication in ACM Transactions on Graphics, covering the second-stage committee verification, TOG journal metadata and DOI, ACM rights and CCS concepts, final results video and representative image, and permanent code/data links.
When should I use Siggraph Camera Ready?
Siggraph Camera Ready fits situations like: covering the second-stage committee verification; TOG journal metadata and DOI; ACM rights and CCS concepts; final results video and representative image.
How do I install Siggraph Camera Ready in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill siggraph-camera-ready -a claude-code`. Or copy the skill folder (SIGGRAPH-Skills/skills/siggraph-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/siggraph-camera-ready in your project. Claude Code loads it when a task matches its description.
How do I install Siggraph Camera Ready in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill siggraph-camera-ready -a codex`. Or copy the skill folder (SIGGRAPH-Skills/skills/siggraph-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/siggraph-camera-ready in your project. Codex loads it when a task matches its description.
Can I use Siggraph Camera Ready 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 siggraph-camera-ready -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/siggraph-camera-ready, .gemini/skills/siggraph-camera-ready, .github/skills/siggraph-camera-ready and .opencode/skills/siggraph-camera-ready in your project.
What does Siggraph Camera Ready need to run?
SKILL.md names no scripts, command-line tools or credentials: Siggraph Camera Ready is instructions for the agent only.
Does Siggraph Camera Ready 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 Siggraph Camera Ready 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 Siggraph Camera Ready use?
Siggraph Camera Ready 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 Siggraph Camera Ready use?
About 1.2k tokens (SKILL.md is roughly 4.7k 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 Siggraph Camera Ready?
Skills that share tags, products or a category with Siggraph Camera Ready: Audit Preparation (sickn33/agentic-awesome-skills, 47k stars), QA Acceptance (paperclipai/paperclip, 99k stars), Release Preparation (CherryHQ/cherry-studio, 52k stars) and Acceptance Orchestrator (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Siggraph Camera Ready?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 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.