Agent Skills
PublicationPeer-review

Rebuttal Letter Strategist

AIPOCH-AI

In response to the reviewers' sharp Criticism, generate a "soft yet firm" counterattack strategy and response text that is neither servile nor overbearing while clearly explaining the situation.

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FILES
rebuttal-letter-strategist/
skill.md
scripts
main.py

SKILL.md

Rebuttal Letter Strategist

"Soft but firm" rebuttal response generation.

Use Cases

  • Major revision responses
  • Rejection appeals
  • Point-by-point rebuttals

Parameters

ParameterTypeRequiredDefaultDescription
criticismstrYes-Reviewer comment text to respond to
response_typestrNo"Partial"Response type: "Accept", "Partial", or "Reject"
evidencestrNo-Supporting data for the response

Returns

  • Professionally toned response
  • Strategic positioning
  • Evidence integration

Example

Transforms "We disagree" → "We respectfully maintain..."

Risk Assessment

Risk IndicatorAssessmentLevel
Code ExecutionPython/R scripts executed locallyMedium
Network AccessNo external API callsLow
File System AccessRead input files, write output filesMedium
Instruction TamperingStandard prompt guidelinesLow
Data ExposureOutput files saved to workspaceLow

Security Checklist

  • No hardcoded credentials or API keys
  • No unauthorized file system access (../)
  • Output does not expose sensitive information
  • Prompt injection protections in place
  • Input file paths validated (no ../ traversal)
  • Output directory restricted to workspace
  • Script execution in sandboxed environment
  • Error messages sanitized (no stack traces exposed)
  • Dependencies audited

Prerequisites

No additional Python packages required.

Evaluation Criteria

Success Metrics

  • Successfully executes main functionality
  • Output meets quality standards
  • Handles edge cases gracefully
  • Performance is acceptable

Test Cases

  1. Basic Functionality: Standard input → Expected output
  2. Edge Case: Invalid input → Graceful error handling
  3. Performance: Large dataset → Acceptable processing time

Lifecycle Status

  • Current Stage: Draft
  • Next Review Date: 2026-03-06
  • Known Issues: None
  • Planned Improvements:
    • Performance optimization
    • Additional feature support