rebuttal-letter-strategist
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—it relies on abstract process language ('structured execution', 'explicit assumptions', 'clear output boundaries') instead of listing specific actions like drafting rebuttal letters, addressing reviewer comments, or organizing point-by-point responses. While 'rebuttal letter' and 'academic writing' are useful trigger terms, the description lacks both concrete capability listing and meaningful trigger guidance.
Suggestions
Replace abstract qualifiers ('structured execution', 'explicit assumptions', 'clear output boundaries') with concrete actions like 'drafts point-by-point responses to peer reviewer comments, organizes rebuttal arguments, formats academic response letters'.
Add explicit trigger guidance such as 'Use when the user needs to respond to peer review feedback, draft a rebuttal letter for a journal submission, or address reviewer comments on a manuscript'.
Include natural keyword variations users might say: 'peer review response', 'reviewer comments', 'manuscript revision response', 'journal rebuttal'.
| 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 response points). | 1 / 3 |
Completeness | The 'what' is extremely weak—it doesn't explain what the skill concretely does beyond vague process descriptors. While there is a 'Use when' equivalent clause, it describes abstract qualities ('structured execution', 'explicit assumptions') rather than concrete trigger scenarios. | 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', 'manuscript revision', or 'journal submission'. | 2 / 3 |
Distinctiveness Conflict Risk | 'Rebuttal letter' provides some niche specificity in the academic domain, but 'academic writing workflows' is broad enough to overlap with other academic writing skills, and the abstract qualifiers 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 is heavily padded with boilerplate, generic process scaffolding, and repeated information that inflates its length without adding proportional value. The core domain expertise—how to actually craft a 'soft but firm' academic rebuttal—is barely addressed, with only a single trivial example transformation. The skill reads more like a generic project template than a focused, actionable guide for rebuttal letter writing.
Suggestions
Remove boilerplate sections (Lifecycle Status, Security Checklist with generic items, Evaluation Criteria with placeholder test cases) and deduplicate repeated content (py_compile appears 3 times, scope description appears 4+ times) to cut the file by at least 50%.
Add 2-3 complete, concrete rebuttal examples showing input (reviewer criticism) and output (full rebuttal paragraph) with different response_type values (Accept, Partial, Reject) to make the core skill actionable.
Consolidate the Workflow, Example Usage, and Implementation Details sections into a single clear workflow with specific validation steps for rebuttal quality (e.g., tone check, evidence integration verification).
Move the Risk Assessment, Security Checklist, and Evaluation Criteria into a reference file and keep only a brief link in the main skill body.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose and repetitive. Multiple sections restate the same information (e.g., 'See ## Prerequisites above' / 'See ## Workflow above' cross-references to content in the same file, repeated `python -m py_compile` commands in three places, redundant 'When to Use' bullets that echo the description). Includes boilerplate sections (Lifecycle Status, Security Checklist, Evaluation Criteria with placeholder test cases) that add no actionable value. Explains obvious concepts Claude already knows. | 1 / 3 |
Actionability | Provides some concrete elements like the parameters table, bash commands, and a response template structure. However, the core skill—transforming reviewer criticism into a 'soft but firm' rebuttal—lacks executable examples. The single example ('We disagree' → 'We respectfully maintain...') is too minimal. No actual rebuttal letter template or detailed transformation rules are provided. The scripts/main.py is referenced but its behavior is never explained. | 2 / 3 |
Workflow Clarity | The Workflow section provides a 5-step sequence and the Example Usage section has a 4-step run plan, but they are generic and lack specific validation checkpoints tied to the rebuttal domain. Error handling and fallback paths are mentioned but remain abstract. No concrete validation of the rebuttal output quality is specified. | 2 / 3 |
Progressive Disclosure | References `references/audit-reference.md` and `scripts/main.py` for deeper content, which is appropriate. However, the main file itself is a monolithic wall of text with many sections that could be consolidated or moved to reference files. The structure has too many sections at the same level, making navigation difficult despite having clear headers. | 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 | |
- Repository
- aipoch/medical-research-skills
- Commit
0b96148
- Reviewed
Table of Contents
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