Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Cc Peer Review Revision

ASecurity

Use when responding to Cancer Cell (Cell Press) reviewer reports — planning new experiments, writing a point-by-point response, and calibrating claims for revision. It structures the rebuttal and revision; it does not run the experiments or design them from scratch.

1,052 stars
0 votes
0 copies
0 views
Added 6/4/2026
ai-agentsgo

Security Analysis

A100/100

Scanned 6/4/2026

Install to Claude Code

$npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill cc-peer-review-revision --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Cc Peer Review Revision?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Cc Peer Review Revision
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/brycewang-stanford-cc-peer-review-revision/badge)](https://www.skillsdirectory.com/skills/brycewang-stanford-cc-peer-review-revision)

More formats (shields.io, HTML) on the badges page.

Download with Pro
Files
SKILL.md
---
name: cc-peer-review-revision
description: Use when responding to Cancer Cell (Cell Press) reviewer reports — planning new experiments, writing a point-by-point response, and calibrating claims for revision. It structures the rebuttal and revision; it does not run the experiments or design them from scratch.
---

# Peer Review & Revision (cc-peer-review-revision)

## When to trigger

- A decision letter with reviewer reports has arrived (major/minor revision)
- You must triage requested experiments vs. textual changes
- Reviewers ask for additional in vivo / human validation or rigor fixes
- A consultative / cross-referee comment requires reconciling reviews

## Cell Press review context

Cancer Cell uses editorial assessment plus external peer review, and Cell Press can run **consultative (cross-referee) review** where reviewers see each other's comments. Practical implications:

- Reviewers may converge on shared concerns — address the **cross-cutting** issue, not just each bullet.
- The editor's letter signals which points are **essential** vs. optional; prioritize those.
- New experiments that strengthen orthogonal validation (in vivo / human) carry the most weight.

## Triage every comment

| Reviewer ask | Response mode |
|--------------|---------------|
| "Does this hold in vivo / in patients?" | New experiment (highest priority) — plan via `cc-study-design` |
| "Cell line unauthenticated / antibody not validated" | Rigor fix — `cc-reporting-standards` |
| "n unclear / pseudo-replication / wrong test" | Reanalyze + report — `cc-statistics` |
| "Representative image without quantification" | Quantify across replicates — `cc-figures-tables` |
| "Overstated claim" | Narrow the claim — `cc-writing-style` |
| "Missing control / rescue" | Add control experiment |
| Disagreement / out-of-scope request | Respectful, evidence-based pushback |

## Point-by-point response structure

For **each** comment:

1. Quote the reviewer's point verbatim.
2. State the change: new data, reanalysis, or text edit.
3. Point to **where** in the revision it appears (new Figure 4C, Methods p. X, lines Y–Z).
4. If you disagree, give a courteous, data-backed rationale — do not ignore it.

Open the response with a brief summary of the major new experiments and how the paper improved. Keep tone professional and concrete; reviewers and editor read this closely.

## Revision discipline

- Do not over-revise into a different paper; address what was asked.
- When adding in vivo / human data, carry through the **same rigor** (controls, `n`, randomization, blinding, deposition of any new datasets).
- Update the Key Resources Table, availability statement, and statistics for any new experiments.
- Re-run the `cc-submission` preflight before resubmitting.
- If you cannot do an experiment, explain why and offer the strongest feasible alternative.

## Checklist

- [ ] Every reviewer point addressed individually; none skipped
- [ ] Essential (editor-flagged) points prioritized and fully resolved
- [ ] Cross-cutting concern shared across reviewers identified and answered
- [ ] New experiments carry full rigor and `n`; new datasets deposited
- [ ] Each response points to the exact location of the change
- [ ] Claims narrowed where evidence did not grow
- [ ] Polite, evidence-based rationale for any disagreement
- [ ] KRT, statistics, and availability statement updated; preflight re-run

## Anti-patterns

- Selectively answering easy comments and ignoring hard ones
- Adding new data with weaker rigor than the original (no controls, undefined `n`)
- Dismissive or defensive rebuttals to disagreements
- Claiming a change was made without pointing to where
- Re-broadening claims the reviewers asked you to narrow
- Forgetting to deposit datasets generated during revision

## Output format

```
【Decision】major / minor revision
【Essential points】editor-flagged: [...]
【Cross-cutting concern】...
【New experiments planned】(rigor + n + deposition): [...]
【Per-comment plan】R1.1 → ...; R1.2 → ...; R2.1 → ...
【Claims to narrow】...
【Pushback (with rationale)】...
【Next step】execute revisions → re-run cc-submission preflight
```

Attribution

brycewang-stanfordbrycewang-stanford
View sourceMore from brycewang-stanford →
SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1074701 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

693161 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

691 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →