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SKILL verified Apache-2.0 Self-run

Paper Revision

skill-aravindan20-claude-research-paper-os-paper-revision · by ARAVINDAN20

Revise papers based on reviewer feedback. Map reviewer concerns to specific sections, apply targeted edits, run additional experiments if needed, and verify improvements. Use after receiving peer review with revision requests.

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Install

$ agentstack add skill-aravindan20-claude-research-paper-os-paper-revision

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Paper Revision

Systematically revise papers based on reviewer feedback.

Input

  • $0 — Reviewer comments/feedback
  • $1 — Current paper draft (main.tex or paper directory)

References

  • Revision workflow and prompts: ~/.claude/skills/paper-revision/references/revision-prompts.md

Workflow

Step 1: Parse and Prioritize Concerns

For each reviewer comment:

  1. Extract the specific concern
  2. Classify: major revision, minor revision, question, suggestion
  3. Map to affected paper section(s)
  4. Prioritize: address major concerns first

Step 2: Plan Revisions

Create a revision plan:

Concern → Affected Section → Required Action → New Content/Experiment

Categories of actions:

  • Clarification: Rewrite text for clarity
  • Additional experiment: Run new experiment, add results
  • New analysis: Add ablation, statistical test, or comparison
  • Structural change: Move, merge, or split sections
  • Citation: Add missing references

Step 3: Execute Revisions

For each planned revision:

  1. Read the current section
  2. Apply targeted edits (preserve surrounding structure)
  3. If new experiments needed: use experiment-code skill
  4. If new figures/tables needed: use figure-generation / table-generation skills
  5. Mark changes (use \textcolor{blue}{...} for revised text)

Step 4: Verify Improvements

  • Re-run self-review skill to check if scores improved
  • Verify all reviewer concerns are addressed
  • Check that revisions don't introduce new issues
  • Ensure page count still fits venue requirements

Step 5: Write Revision Summary

Generate a diff summary:

  • List all changes made with section references
  • Note any new experiments, figures, or tables added
  • Cross-reference each change to the reviewer concern it addresses

Rules

  • Address EVERY reviewer concern — do not skip any
  • Preserve paper structure unless structural change is explicitly needed
  • New results must come from actual experiments, not hallucinated
  • Mark all revised text clearly for the reviewers
  • Keep a copy of the previous version before revising
  • Compare new scores vs previous scores after revision

Related Skills

  • Upstream: [self-review](../self-review/)
  • Downstream: [paper-compilation](../paper-compilation/)
  • See also: [rebuttal-writing](../rebuttal-writing/), [paper-writing-section](../paper-writing-section/)

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.