A skill your agent uses when converting an IEEE S&P (Oakland) acceptance into a final paper, including working the shepherd against the draft meta-review's concern list, adding the ethics section…

MITAuto-check passed

Install Ieeesp Camera Ready

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ieeesp-camera-ready -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ieeesp-camera-ready --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/IEEE-SP-Skills/skills/ieeesp-camera-ready .claude/skills/ieeesp-camera-ready && 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
ieeesp-camera-ready
GitHub stars
1.2k
Token cost
~1.2k tokens
SKILL.md length
554 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when converting an IEEE S&P (Oakland) acceptance into a final paper, including working the shepherd against the draft meta-review's concern list, adding the ethics section…

  • Works in 5 steps: Convert the draft meta-review into a… → For each concern, agree internally on:… → Ask the shepherd early about any concern… → …
  • Converting an IEEE S&P (Oakland) acceptance into a final paper
  • SKILL.md covers Working the shepherding loop, The ethics section is added…, De-anonymization with… and IEEE mechanics, plus 3 more sections
  • Calls pdftotext

What it does

Ieeesp Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when converting an IEEE S&P (Oakland) acceptance into a final paper, including working the shepherd against the draft meta-review's concern list, adding the ethics section, de-anonymizing and restoring disclosure specifics, IEEE compsoc and Xplore requirements, and coordinating artifact submission.

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

  • Converting an IEEE S&P (Oakland) acceptance into a final paper
  • Including working the shepherd against the draft meta-reviews concern list
  • Adding the ethics section
  • De-anonymizing and restoring disclosure specifics

Example prompts

  • “/ieeesp-camera-ready”

Workflow steps

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

  1. Convert the draft meta-review into a numbered concern ledger on day one.
  2. For each concern, agree internally on: the change, its location, and the
  3. Ask the shepherd early about any concern you believe is out of scope or
  4. Submit the revision with a concern → change → location map; make the
  5. Nothing in the shepherding loop authorizes new claims: the accepted

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

    Shell commands in SKILL.md call:

    • pdftotext

    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

Ieeesp Camera Ready loads about 1.2k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 554 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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). 554 words, ~1,240 tokens.

Download SKILL.mdSave it as .claude/skills/ieeesp-camera-ready/SKILL.md (or your agent's skills folder).
name
ieeesp-camera-ready
description
Use when converting an IEEE S&P (Oakland) acceptance into a final paper, including working the shepherd against the draft meta-review's concern list, adding the ethics section, de-anonymizing and restoring disclosure specifics, IEEE compsoc and Xplore requirements, and coordinating artifact submission.

IEEE S&P Camera-Ready

Use this after an Accept decision. S&P's camera-ready is not a formatting pass: acceptance arrives with a draft meta-review listing remaining concerns and a shepherd who strikes each concern only when the revision resolves it (2027 CFP, checked 2026-07-08). The camera-ready is the last reviewed artifact of the cycle.

Working the shepherding loop

  1. Convert the draft meta-review into a numbered concern ledger on day one.
  2. For each concern, agree internally on: the change, its location, and the one-line evidence the shepherd can check.
  3. Ask the shepherd early about any concern you believe is out of scope or wrong — negotiation happens at the start, not at the deadline.
  4. Submit the revision with a concern → change → location map; make the strike-through decision mechanical for the shepherd.
  5. Nothing in the shepherding loop authorizes new claims: the accepted contribution is the contribution.
Shepherd asks forRight-sized response
Tone down claim XRewrite the claim to the evaluated boundary; show old/new text
Add limitation discussionA titled paragraph, referenced from the intro
Clarify threat model edgeAmend §2 with the explicit assumption
Missing related systemCite + one-line technical delta, not a new section
Ethics wordingCoordinate with the ethics section below

The ethics section is added now — and does not count

Accepted papers add a dedicated, well-marked ethics section without it counting against page limits (2026 CFP wording, checked 2026-07-08). Write it as a record, not a disclaimer:

  • What could cause harm, to whom, and what you did about it.
  • Responsible disclosure: who was notified, when, what they responded, current fix status — with the real names and dates now that anonymity has lifted.
  • IRB approval or waiver, by institution and protocol ID, where applicable.
  • Data handling: what PII existed, minimization, retention, who had access.

De-anonymization with security-specific restorations

Beyond names, affiliations, acknowledgments, and first-person citations, restore what anonymity forced you to blur:

  • Vendor names and CVE identifiers in the disclosure narrative.
  • Artifact URLs (repository, DOI deposit) replacing anonymized placeholders.
  • Funding and infrastructure acknowledgments (measurement platforms often contractually require attribution).
bash
# Residue sweep after de-anonymization
pdftotext final.pdf - | grep -inE 'anonym|redacted|omitted for (review|anonymity)|Vendor [A-Z]\b'
pdfinfo final.pdf | grep -iE 'title|author'   # metadata now correct, not blank
grep -rn 'REPLACE-AFTER-ACCEPT' . || true
Show full SKILL.md (212 more words)Show less

IEEE mechanics

The proceedings are published by IEEE (Xplore); the compsoc template remains mandatory. Verify on the current year's author page — all 待核实 at this pack's check date for 2027: the exact camera-ready deadline, the final page allowance and any purchasable extra pages, the IEEE copyright/eCF step, PDF-compliance checking, and whether registration or in-person presentation by an author is required for publication. Reported by aggregators (unverified officially): recent S&P papers appear open access in the Computer Society Digital Library — do not promise open access until confirmed.

Sequence to the deadline

  1. Concern ledger agreed with shepherd (week 1).
  2. Content revisions + ethics section drafted (weeks 1–2).
  3. De-anonymization and restoration sweep.
  4. Artifact evaluation submission if opting in — its schedule runs off the acceptance date, in parallel (ieeesp-artifact-evaluation).
  5. Final compsoc compile, IEEE PDF check, copyright form, upload.
  6. Re-download and verify the archived PDF; Xplore keeps what you upload.

Common failures at this stage

  • Treating the meta-review as advisory — an unresolved concern is a shepherd-level blocker, not a style note.
  • An ethics section written as legal boilerplate; reviewers approved a specific record and expect it stated.
  • Disclosure narrative updated in the ethics section but not in the introduction, leaving contradictory timelines.
  • Missing the artifact-evaluation registration window while polishing prose.

Output format

text
[Concern ledger] <n> total: resolved <n> · negotiating <n> · open <n>
[Ethics section] disclosure record ✓/✗ · IRB/waiver ✓/✗ · data handling ✓/✗
[De-anon sweep] names/CVEs/URLs restored ✓/✗ · residue found: <items>
[IEEE mechanics 待核实] deadline / page allowance / copyright / attendance
[Artifact track] opted in? deadline <date>; badge targets <list>

© 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 IEEE-SP-Skills/skills/ieeesp-camera-ready of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Acceptance Evidence for Deliverieslobehub/lobehub83k—~9.7kAutomated safety check: PassApache-2.0
Word to Markdown Convertergithub/awesome-copilot40k—~1.6kAutomated safety check: PassMIT

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Questions about Ieeesp Camera Ready

What does Ieeesp Camera Ready do?

A skill your agent uses when converting an IEEE S&P (Oakland) acceptance into a final paper, including working the shepherd against the draft meta-review's concern list, adding the ethics section…. Ieeesp Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when converting an IEEE S&P (Oakland) acceptance into a final paper, including working the shepherd against the draft meta-review's concern list, adding the ethics section, de-anonymizing and restoring disclosure specifics, IEEE compsoc and Xplore requirements, and coordinating artifact submission.

When should I use Ieeesp Camera Ready?

Ieeesp Camera Ready fits situations like: converting an IEEE S&P (Oakland) acceptance into a final paper; including working the shepherd against the draft meta-reviews concern list; adding the ethics section; de-anonymizing and restoring disclosure specifics.

How do I install Ieeesp Camera Ready in Claude Code?

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

How do I install Ieeesp Camera Ready in Codex?

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

Can I use Ieeesp 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 ieeesp-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/ieeesp-camera-ready, .gemini/skills/ieeesp-camera-ready, .github/skills/ieeesp-camera-ready and .opencode/skills/ieeesp-camera-ready in your project.

What does Ieeesp Camera Ready need to run?

Going by SKILL.md and its folder, Ieeesp Camera Ready needs the command-line tools its instructions call (pdftotext).

Does Ieeesp 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 Ieeesp 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 Ieeesp Camera Ready use?

Ieeesp 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 Ieeesp Camera Ready use?

About 1.2k tokens (SKILL.md is roughly 5k 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 Ieeesp Camera Ready?

Skills that share tags, products or a category with Ieeesp Camera Ready: Convert (remotion-dev/remotion, 63k stars), QA Acceptance (paperclipai/paperclip, 100k stars), Acceptance Orchestrator (sickn33/agentic-awesome-skills, 47k stars) and Acceptance Evidence for Deliveries (lobehub/lobehub, 83k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ieeesp Camera Ready?

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.