rebuttal-letter-strategist

Use rebuttal letter strategist for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.

Quality

28%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./scientific-skills/Academic Writing/rebuttal-letter-strategist/SKILL.md

Quality

Discovery

22%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This description fails to explain what the skill actually does, relying on abstract meta-language ('structured execution', 'explicit assumptions', 'clear output boundaries') instead of concrete actions. While it mentions 'rebuttal letter' which provides some domain specificity, users cannot understand the skill's capabilities or when to use it based on this description.

Suggestions

Replace abstract language with concrete actions: e.g., 'Analyzes reviewer comments, drafts point-by-point responses, and structures rebuttal letters for journal submissions'

Add natural trigger terms users would say: 'peer review response', 'reviewer comments', 'manuscript revision', 'journal resubmission', 'R1/R2 response'

Rewrite the 'Use when' clause with actual scenarios: 'Use when responding to peer review feedback, drafting revision letters, or addressing reviewer concerns for academic journal submissions'

Dimension	Reasoning	Score
Specificity	The description uses vague language like 'structured execution, explicit assumptions, and clear output boundaries' without describing any concrete actions. It doesn't explain what a 'rebuttal letter strategist' actually does (e.g., draft responses, analyze reviewer comments, organize arguments).	1 / 3
Completeness	The 'what' is extremely weak (no concrete actions described), and while there's a 'Use when' clause, it describes abstract qualities ('structured execution') rather than actual trigger scenarios. Users wouldn't naturally describe their need as 'needing structured execution'.	1 / 3
Trigger Term Quality	Contains some relevant keywords like 'rebuttal letter' and 'academic writing' that users might say, but misses common variations like 'reviewer response', 'peer review', 'revision letter', 'manuscript revision', or 'journal submission'.	2 / 3
Distinctiveness Conflict Risk	'Rebuttal letter' and 'academic writing' provide some specificity, but 'academic writing workflows' is broad enough to potentially conflict with other academic writing skills. The abstract descriptors don't help distinguish it.	2 / 3
	Total	6 / 12 Passed

Implementation

35%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This skill suffers from severe template bloat - it appears to be a generic skill template with minimal customization for the actual rebuttal letter task. The core functionality (transforming criticism into professional responses) is barely explained while generic boilerplate about security checklists, lifecycle status, and audit commands dominates. The actual value proposition is lost in noise.

Suggestions

Remove all generic boilerplate (security checklists, lifecycle status, evaluation criteria) and focus on the actual rebuttal generation logic - show concrete examples of input criticism and output responses

Replace the placeholder scripts/main.py references with actual executable code or clear instructions for generating rebuttals, including the 'soft but firm' tone transformation logic

Consolidate redundant sections (there are multiple workflow descriptions, duplicate prerequisite references) into a single clear workflow with specific rebuttal-focused steps

Add 2-3 complete input/output examples showing different response_type values (Accept, Partial, Reject) with actual reviewer comments and generated responses

Dimension	Reasoning	Score
Conciseness	Extremely verbose with excessive boilerplate, redundant sections (e.g., 'See ## Prerequisites above' when it's below), and template-like content that adds no value. The actual rebuttal letter functionality is buried under layers of generic workflow documentation that Claude doesn't need.	1 / 3
Actionability	Provides some concrete elements like the parameters table and example transformation ('We disagree' → 'We respectfully maintain...'), but lacks executable code showing how to actually generate rebuttals. The scripts/main.py references are generic placeholders without showing actual rebuttal logic.	2 / 3
Workflow Clarity	Has numbered workflow steps and error handling sections, but the steps are generic ('Confirm the user objective') rather than specific to rebuttal letter generation. Missing concrete validation checkpoints for the actual rebuttal content quality.	2 / 3
Progressive Disclosure	References external files (references/audit-reference.md, scripts/main.py) appropriately, but the main document itself is poorly organized with redundant sections, circular references ('See ## Prerequisites above' pointing to content below), and content that should be consolidated.	2 / 3
	Total	7 / 12 Passed

Validation

90%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 10 / 11 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	10 / 11 Passed

Repository: aipoch/medical-research-skills
Commit: 4a48721

Reviewed: about 12 hours ago

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