Use rebuttal letter strategist for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.
42
28%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/Academic Writing/rebuttal-letter-strategist/SKILL.mdQuality
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.
The description fails to communicate what the skill concretely does, relying on abstract process language instead of specific actions. While 'rebuttal letter' and 'academic writing' provide some domain anchoring, the lack of concrete capabilities and meaningful trigger guidance makes this description inadequate for skill selection among multiple options.
Suggestions
Replace abstract phrases like 'structured execution' and 'clear output boundaries' with concrete actions such as 'drafts point-by-point responses to peer reviewer comments, organizes rebuttals by reviewer, and formats revision letters for journal submission'.
Add explicit trigger guidance with natural user terms, e.g., 'Use when the user needs to respond to peer review comments, draft a rebuttal letter, write a revision response, or address reviewer feedback for a manuscript submission'.
Include file type or format references if applicable (e.g., 'reviewer comments', 'decision letter', '.docx') to improve trigger term coverage and distinctiveness.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description uses vague, abstract language like 'structured execution', 'explicit assumptions', and 'clear output boundaries' without listing any concrete actions. It does not specify what the skill actually does (e.g., draft rebuttals, address reviewer comments, organize responses). | 1 / 3 |
Completeness | The 'what' is extremely weak—it never explains what the skill concretely does beyond vague process descriptors. While there is a 'Use when' clause, it describes abstract qualities ('structured execution', 'explicit assumptions') rather than explicit situational triggers, making the 'when' also ineffective. | 1 / 3 |
Trigger Term Quality | 'Rebuttal letter' and 'academic writing' are relevant natural keywords a user might use, but the description misses common variations like 'peer review response', 'reviewer comments', 'revision letter', 'manuscript revision', or 'journal submission'. | 2 / 3 |
Distinctiveness Conflict Risk | 'Rebuttal letter' provides some niche specificity that distinguishes it from generic writing skills, but the vague qualifiers like 'structured execution' and 'clear output boundaries' could overlap with many academic or structured writing skills. | 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 is heavily padded with boilerplate sections (Risk Assessment, Security Checklist, Lifecycle Status, Evaluation Criteria) that consume significant tokens without providing actionable guidance for the core task of generating rebuttal letters. The actual domain-specific content—how to transform reviewer criticisms into professional rebuttals—is extremely thin, with only a single trivial example. The circular cross-references between sections and repeated descriptions further reduce quality.
Suggestions
Remove or drastically compress boilerplate sections (Risk Assessment, Security Checklist, Lifecycle Status, Evaluation Criteria) that don't help Claude execute the skill—these waste token budget on generic content.
Add 2-3 complete, concrete examples showing actual reviewer comments being transformed into full rebuttal paragraphs with different response_type values (Accept, Partial, Reject), demonstrating the 'soft but firm' tone.
Eliminate circular references ('See ## Prerequisites above', 'See ## Workflow above') and deduplicate the repeated skill description that appears in 'When to Use' and 'Key Features'.
Show the actual content or structure of scripts/main.py or at minimum provide the exact command with real arguments (not just --help) so Claude knows how to invoke the tool for a real rebuttal task.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose and repetitive. Multiple sections reference each other circularly ('See ## Prerequisites above', 'See ## Workflow above'). The 'When to Use' section repeats the description nearly verbatim three times. Boilerplate sections like Risk Assessment, Security Checklist, Evaluation Criteria, and Lifecycle Status add significant token cost with minimal actionable value for Claude. Much content explains things Claude already knows. | 1 / 3 |
Actionability | The Parameters table and example bash commands provide some concrete guidance, but the core skill logic is vague—there's no actual rebuttal generation logic shown, no executable code for transforming reviewer comments into responses, and the 'Example' section is a single trivial one-liner ('We disagree' → 'We respectfully maintain...'). The workflow steps are generic process descriptions rather than specific executable instructions. | 2 / 3 |
Workflow Clarity | The Workflow section provides a numbered sequence and the Error Handling section mentions fallback paths, which is good. However, the steps are abstract ('Validate that the request matches the documented scope') without concrete validation commands or checkpoints. The run plan in Example Usage is better but still lacks explicit validation gates between steps. | 2 / 3 |
Progressive Disclosure | There is a reference to 'references/audit-reference.md' and mention of 'references/' directory, which is appropriate. However, the main file itself is a monolithic wall of text with many sections that could be split out (Risk Assessment, Security Checklist, Evaluation Criteria, Lifecycle Status). The content that is inline is excessive while the actual core skill content is thin. | 2 / 3 |
Total | 7 / 12 Passed |
Validation
90%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 | |
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