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 camera-ready of an accepted ACM CoNEXT paper for its assigned PACMNET issue — systematically de-anonymizing, completing PACMNET journal metadata and ACM…
MITAuto-check passed
Install Conext Camera Ready
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill conext-camera-ready -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills conext-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/CoNEXT-Skills/skills/conext-camera-ready .claude/skills/conext-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 "conext-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CoNEXT-Skills/skills/conext-camera-ready into .claude/skills/conext-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "conext-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/CoNEXT-Skills/skills/conext-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 conext-camera-ready -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills conext-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/CoNEXT-Skills/skills/conext-camera-ready .agents/skills/conext-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 "conext-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CoNEXT-Skills/skills/conext-camera-ready into .agents/skills/conext-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "conext-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 conext-camera-ready -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills conext-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/CoNEXT-Skills/skills/conext-camera-ready .cursor/skills/conext-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 "conext-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CoNEXT-Skills/skills/conext-camera-ready into .cursor/skills/conext-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "conext-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 CoNEXT-Skills/skills/conext-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 conext-camera-ready -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills conext-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/CoNEXT-Skills/skills/conext-camera-ready .gemini/skills/conext-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 "conext-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CoNEXT-Skills/skills/conext-camera-ready into .gemini/skills/conext-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "conext-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 conext-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 conext-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/CoNEXT-Skills/skills/conext-camera-ready .github/skills/conext-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 "conext-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CoNEXT-Skills/skills/conext-camera-ready into .github/skills/conext-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "conext-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 conext-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 conext-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/CoNEXT-Skills/skills/conext-camera-ready .opencode/skills/conext-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 "conext-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CoNEXT-Skills/skills/conext-camera-ready into .opencode/skills/conext-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "conext-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
conext-camera-ready- GitHub stars
- 1.2k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 388 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 camera-ready of an accepted ACM CoNEXT paper for its assigned PACMNET issue — systematically de-anonymizing, completing PACMNET journal metadata and ACM…
- Preparing the camera-ready of an accepted ACM CoNEXT paper for its assigned PACMNET issue — systematically de-anonymizing
- SKILL.md covers De-anonymize systematically, Complete PACMNET journal…, Permanentize availability and Apply shepherd /…, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Completing PACMNET journal metadata and ACM rights/CCS/keywords
What it does
Conext Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the camera-ready of an accepted ACM CoNEXT paper for its assigned PACMNET issue — systematically de-anonymizing, completing PACMNET journal metadata and ACM rights/CCS/keywords, permanentizing artifact and DOI links, applying any shepherd-required changes, and passing ACM production checks.
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
- Preparing the camera-ready of an accepted ACM CoNEXT paper for its assigned PACMNET issue — systematically de-anonymizing
- Completing PACMNET journal metadata and ACM rights/CCS/keywords
- Permanentizing artifact and DOI links
- Applying any shepherd-required changes
Example prompts
- “/conext-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
Conext Camera Ready loads about 1.2k tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 388 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). 388 words, ~1,152 tokens.
Download SKILL.mdSave it as
.claude/skills/conext-camera-ready/SKILL.md (or your agent's skills folder).- name
- conext-camera-ready
- description
- Use when preparing the camera-ready of an accepted ACM CoNEXT paper for its assigned PACMNET issue — systematically de-anonymizing, completing PACMNET journal metadata and ACM rights/CCS/keywords, permanentizing artifact and DOI links, applying any shepherd-required changes, and passing ACM production checks.
CoNEXT Camera-Ready
Deliver the camera-ready for the PACMNET issue your paper was scheduled into. This is the step where the double-anonymous manuscript becomes a citable ACM journal article, so two things dominate: systematic de-anonymization and complete journal metadata. If your paper went through a one-shot revision or a shepherd, this is also where you confirm every required change actually landed before the deadline (December cycle: camera-ready 30 Apr 2026; major-revision path 31 Jul 2026 — verify your cycle's date).
De-anonymize systematically
The review copy was scrubbed of identity; the camera-ready must restore it completely and only where appropriate:
[Authors + affiliations] add the real author block and affiliations
[Acknowledgments] restore funding, grants, and collaborators
[Self-citation] switch "prior work [12]" back to first person only where accurate
[System/testbed names] restore real names of systems, testbeds, deployments
[Artifact links] swap anonymized URLs for the permanent DOI-issuing archive
[Repository] point to the real, public repository (not the anon service)Do a dedicated pass: a leftover "Anonymous" or a dead anon-service link in the published article is a visible production error.
Complete PACMNET journal metadata
Because CoNEXT publishes in PACMNET, the camera-ready carries journal metadata, not just conference proceedings fields:
- ACM CCS concepts and author keywords (required for ACM DL indexing).
- The ACM rights/licensing block (the e-rights form output) — CoNEXT/PACMNET is open access; confirm the exact license and copyright string from your rights form.
- Author ORCIDs and correct affiliations.
- The PACMNET volume/issue assignment (e.g., the cycle-named issue your paper landed in) and any article-number/DOI fields the production kit requests.
Permanentize availability
- Move the artifact from the anonymizing service to a DOI-issuing archive (Zenodo/figshare/ Software Heritage) and cite that DOI in the paper.
- If you earned or are pursuing ACM reproducibility badges, ensure the badge and the artifact DOI
are correctly associated (coordinate with the reproducibility committee; see
conext-artifact-evaluation). - Replace any placeholder or personal-GitHub link; the published record should point to permanent locations.
Show full SKILL.md (129 more words)Show less
Apply shepherd / revision-required changes
- If a shepherd was assigned or the paper came through a one-shot revision, re-check the list of minimum necessary changes against the final PDF; the shepherd signs off before publication.
- Do not use camera-ready to quietly expand scope or add claims the reviewers did not see — restrict edits to the required changes, de-anonymization, and polish.
Pass ACM production checks
- Compile with the required
acmartversion/options for PACMNET; do not alter margins or fonts. - Run the ACM PDF checks (embedded fonts, no broken references, valid metadata) that the production/TAPS pipeline enforces.
- Confirm the paper fits the final page allowance (the camera-ready limit may differ from the review limit — verify).
- Check figures, especially topology diagrams and CDFs, render correctly in the final PDF.
Camera-ready checklist
[De-anon] authors, acks, system/testbed names, artifact links all restored? yes/no
[No leftovers] no "Anonymous", no dead anon-service links? yes/no
[Metadata] CCS + keywords + rights block + ORCIDs + PACMNET issue/DOI complete? yes/no
[Availability] artifact on a DOI archive; badge association correct? yes/no
[Shepherd] required changes confirmed in the final PDF? yes/no/n-a
[Production] acmart version, ACM PDF checks, page allowance, figures? pass/failOutput format
[Camera-ready status] ready / blocked
[Cycle + issue] <December | June> cycle -> PACMNET <volume/issue>
[De-anonymization] complete / leftovers: <where>
[Metadata] CCS/keywords/rights/ORCID/DOI status
[Availability] permanent artifact DOI + badge association
[Production] acmart + ACM checks pass? outstanding items with the deadline© 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 CoNEXT-Skills/skills/conext-camera-ready of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Conext 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 |
|---|---|---|---|---|---|---|
| Conext 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 | |
| Acm Conextfranklee16/academic-research-skills | 223 | 1 repos | ~1.9k | Automated safety check: Pass | None | |
| 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 |
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.
Acm Conext
franklee16/academic-research-skills
A skill your agent uses when targeting ACM CoNEXT (CoNEXT) or deciding whether a computer-science manuscript fits this venue.
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.
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Questions about Conext Camera Ready
What does Conext Camera Ready do?
A skill your agent uses when preparing the camera-ready of an accepted ACM CoNEXT paper for its assigned PACMNET issue — systematically de-anonymizing, completing PACMNET journal metadata and ACM…. Conext Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the camera-ready of an accepted ACM CoNEXT paper for its assigned PACMNET issue — systematically de-anonymizing, completing PACMNET journal metadata and ACM rights/CCS/keywords, permanentizing artifact and DOI links, applying any shepherd-required changes, and passing ACM production checks.
When should I use Conext Camera Ready?
Conext Camera Ready fits situations like: preparing the camera-ready of an accepted ACM CoNEXT paper for its assigned PACMNET issue — systematically de-anonymizing; completing PACMNET journal metadata and ACM rights/CCS/keywords; permanentizing artifact and DOI links; applying any shepherd-required changes.
How do I install Conext Camera Ready in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill conext-camera-ready -a claude-code`. Or copy the skill folder (CoNEXT-Skills/skills/conext-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/conext-camera-ready in your project. Claude Code loads it when a task matches its description.
How do I install Conext Camera Ready in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill conext-camera-ready -a codex`. Or copy the skill folder (CoNEXT-Skills/skills/conext-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/conext-camera-ready in your project. Codex loads it when a task matches its description.
Can I use Conext 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 conext-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/conext-camera-ready, .gemini/skills/conext-camera-ready, .github/skills/conext-camera-ready and .opencode/skills/conext-camera-ready in your project.
What does Conext Camera Ready need to run?
SKILL.md names no scripts, command-line tools or credentials: Conext Camera Ready is instructions for the agent only.
Does Conext 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 Conext 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 Conext Camera Ready use?
Conext 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 Conext Camera Ready use?
About 1.2k tokens (SKILL.md is roughly 4.6k 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 Conext Camera Ready?
Skills that share tags, products or a category with Conext Camera Ready: Audit Preparation (sickn33/agentic-awesome-skills, 47k stars), QA Acceptance (paperclipai/paperclip, 99k stars), Acm Conext (franklee16/academic-research-skills, 223 stars) and Release Preparation (CherryHQ/cherry-studio, 52k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Conext Camera Ready?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.