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 an accepted USENIX FAST paper for its open-access camera-ready, covering de-anonymization, the USENIX two-column template and the larger camera-ready page…
MITAuto-check passed
Install Fast Camera Ready
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill fast-camera-ready -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills fast-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/FAST-Skills/skills/fast-camera-ready .claude/skills/fast-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 "fast-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/FAST-Skills/skills/fast-camera-ready into .claude/skills/fast-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fast-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/FAST-Skills/skills/fast-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 fast-camera-ready -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills fast-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/FAST-Skills/skills/fast-camera-ready .agents/skills/fast-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 "fast-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/FAST-Skills/skills/fast-camera-ready into .agents/skills/fast-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fast-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 fast-camera-ready -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills fast-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/FAST-Skills/skills/fast-camera-ready .cursor/skills/fast-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 "fast-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/FAST-Skills/skills/fast-camera-ready into .cursor/skills/fast-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fast-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 FAST-Skills/skills/fast-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 fast-camera-ready -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills fast-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/FAST-Skills/skills/fast-camera-ready .gemini/skills/fast-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 "fast-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/FAST-Skills/skills/fast-camera-ready into .gemini/skills/fast-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fast-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 fast-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 fast-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/FAST-Skills/skills/fast-camera-ready .github/skills/fast-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 "fast-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/FAST-Skills/skills/fast-camera-ready into .github/skills/fast-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fast-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 fast-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 fast-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/FAST-Skills/skills/fast-camera-ready .opencode/skills/fast-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 "fast-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/FAST-Skills/skills/fast-camera-ready into .opencode/skills/fast-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fast-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
fast-camera-ready- GitHub stars
- 1.2k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 420 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when preparing an accepted USENIX FAST paper for its open-access camera-ready, covering de-anonymization, the USENIX two-column template and the larger camera-ready page…
- Preparing an accepted USENIX FAST paper for its open-access camera-ready
- SKILL.md covers Camera-ready audit, De-anonymization sweep, USENIX production checks and Worked example: integrating a…, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Covering de-anonymization
What it does
Fast Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing an accepted USENIX FAST paper for its open-access camera-ready, covering de-anonymization, the USENIX two-column template and the larger camera-ready page allowance, integrating shepherd- or revision-required changes without scope creep, permanentizing trace and code availability, adding the artifact appendix and USENIX badges, and meeting the final-files deadline.
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 an accepted USENIX FAST paper for its open-access camera-ready
- Covering de-anonymization
- The USENIX two-column template and the larger camera-ready page allowance
- Integrating shepherd-
Example prompts
- “/fast-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
Fast Camera Ready loads about 1.2k tokens when it runs. Until then it costs about 101 tokens; SKILL.md has 420 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). 420 words, ~1,211 tokens.
Download SKILL.mdSave it as
.claude/skills/fast-camera-ready/SKILL.md (or your agent's skills folder).- name
- fast-camera-ready
- description
- Use when preparing an accepted USENIX FAST paper for its open-access camera-ready, covering de-anonymization, the USENIX two-column template and the larger camera-ready page allowance, integrating shepherd- or revision-required changes without scope creep, permanentizing trace and code availability, adding the artifact appendix and USENIX badges, and meeting the final-files deadline.
FAST Camera Ready
Use this after acceptance. FAST papers are published open access by USENIX, free to the public, so the camera-ready is a production step with no APC and no paywall — but with firm final-files dates (FAST '27 Spring: 28 Jul 2026; Fall: 26 Jan 2027) and USENIX formatting requirements. Reopen the current instructions-for-authors, the decision/shepherd email, and the Call for Artifacts before advising.
Camera-ready audit
- De-anonymize completely: restore the author block, affiliations, acknowledgements, funding, and the real system/tool and repository names that double-blind forced you to hide.
- Apply the final format: the USENIX two-column template within the current camera-ready allowance (reported larger than submission — e.g. 13 pages long / 7 short, references excluded). Use the extra space for shepherd-required additions, not scope creep.
- Integrate the required changes from the reviews, the shepherd, or the one-shot revision faithfully — without strengthening claims beyond what was evaluated.
- Permanentize availability: replace every anonymized artifact/trace link with a public, licensed, DOI-issuing archive, and update the availability statement to point at it.
- Add the artifact appendix and badges if you went through artifact evaluation: badges appear on
the first page and the appendix details the artifact (
fast-artifact-evaluation). - Confirm registration and presentation obligations; at least one author presents.
De-anonymization sweep
| Anonymized at submission | Restore at camera-ready | Watch for |
|---|---|---|
| Author block, affiliations | Full, correctly ordered | Wrong order breaks the citation |
| System / tool name | Real name throughout text, figures, artifact | A leftover placeholder in a caption or a config |
| Acknowledgements, funding, hardware donors | Restored | Grant numbers required by funders |
| Self-citations (third person) | Natural first-person where it aids clarity | Over-correcting and double-citing |
| Device dumps / hostnames redacted for review | Real values only where safe; keep serials out | Re-introducing a serial number needlessly |
| Artifact / trace link | Public archive DOI | The old anonymized URL surviving in a footnote |
Show full SKILL.md (124 more words)Show less
USENIX production checks
[Template] USENIX two-column template, current revision; no manual margin/font edits; 10pt/12pt
[Metadata] title, authors, affiliations match HotCRP and the PDF; abstract consistent
[Testbed] the device/firmware table is complete and final; device-state caveats intact
[References] complete, consistent; DOIs where available; references excluded from the page count
[Figures] vector where possible; latency distributions and plots readable in print; captions self-contained
[Rights] USENIX publication agreement completed; correct notice on the first page
[Links] every availability, trace, and artifact link resolves from a logged-out browser
[Appendix] artifact appendix + earned badges added per the current instructionsWorked example: integrating a one-shot-revision result
The revision required adding a steady-state write-amplification comparison and a crash-consistency test. Camera-ready move: keep the added §5.3 table and §6 crash-test exactly as evaluated, restore the real system name in those sections and the artifact, point the availability statement at the now-public DOI archive, and — using the larger camera-ready budget — expand the device-state caveat into a clear paragraph rather than inflating the claim the AEC and reviewers accepted.
Hedged logistics
- Page allowances, metadata fields, the rights agreement, and exact final-files dates change each cycle; confirm against the decision email and current USENIX author instructions rather than a prior year. The two deadlines have different final-files dates — use the one for your cycle.
Output format
[Camera-ready status] ready / needs fixes / blocked
[De-anonymization] author block / system name / acks / device dumps / links restored? yes/no
[Format] USENIX template, within camera-ready page allowance? yes/no
[Required-change map] <shepherd/revision item -> final edit, no scope creep>
[Availability] anonymized links replaced by DOI archive? artifact appendix + badges added? yes/no
[Remaining owner] <person -> task, against the final-files date>© 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 FAST-Skills/skills/fast-camera-ready of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Fast 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 |
|---|---|---|---|---|---|---|
| Fast 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 Fast Camera Ready
What does Fast Camera Ready do?
A skill your agent uses when preparing an accepted USENIX FAST paper for its open-access camera-ready, covering de-anonymization, the USENIX two-column template and the larger camera-ready page…. Fast Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing an accepted USENIX FAST paper for its open-access camera-ready, covering de-anonymization, the USENIX two-column template and the larger camera-ready page allowance, integrating shepherd- or revision-required changes without scope creep, permanentizing trace and code availability, adding the artifact appendix and USENIX badges, and meeting the final-files deadline.
When should I use Fast Camera Ready?
Fast Camera Ready fits situations like: preparing an accepted USENIX FAST paper for its open-access camera-ready; covering de-anonymization; the USENIX two-column template and the larger camera-ready page allowance; integrating shepherd-.
How do I install Fast Camera Ready in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill fast-camera-ready -a claude-code`. Or copy the skill folder (FAST-Skills/skills/fast-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/fast-camera-ready in your project. Claude Code loads it when a task matches its description.
How do I install Fast Camera Ready in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill fast-camera-ready -a codex`. Or copy the skill folder (FAST-Skills/skills/fast-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/fast-camera-ready in your project. Codex loads it when a task matches its description.
Can I use Fast 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 fast-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/fast-camera-ready, .gemini/skills/fast-camera-ready, .github/skills/fast-camera-ready and .opencode/skills/fast-camera-ready in your project.
What does Fast Camera Ready need to run?
SKILL.md names no scripts, command-line tools or credentials: Fast Camera Ready is instructions for the agent only.
Does Fast 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 Fast 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 Fast Camera Ready use?
Fast 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 Fast Camera Ready use?
About 1.2k tokens (SKILL.md is roughly 4.8k 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 Fast Camera Ready?
Skills that share tags, products or a category with Fast 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 Fast 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.