Polishes response letters by transforming defensive or harsh language.
30
23%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/Academic Writing/response-tone-polisher/SKILL.mdQuality
Discovery
32%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 identifies a specific use case—polishing response letters with harsh or defensive tone—but is too brief and lacks explicit trigger guidance ('Use when...'). It would benefit from listing more concrete actions and including natural trigger terms users would say when needing this skill.
Suggestions
Add a 'Use when...' clause with trigger terms like 'soften tone', 'rewrite response', 'complaint reply', 'professional tone', or 'customer letter'.
List additional concrete actions such as 'softens accusatory phrasing, replaces confrontational language with empathetic alternatives, restructures defensive responses into collaborative tone'.
Include common keyword variations users might use, such as 'tone adjustment', 'diplomatic language', 'customer correspondence', or 'de-escalation'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description names a domain (response letters) and a specific action (transforming defensive or harsh language), but it only describes one action ('polishes') without listing multiple concrete capabilities like tone adjustment techniques, specific transformations, or output formats. | 2 / 3 |
Completeness | The description answers 'what' (polishes response letters by transforming defensive/harsh language) but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill. Per rubric guidelines, a missing 'Use when...' clause caps completeness at 2, and the 'what' is also thin, warranting a score of 1. | 1 / 3 |
Trigger Term Quality | Includes some relevant terms like 'response letters', 'defensive', and 'harsh language' that users might mention, but misses common variations like 'tone', 'soften', 'rewrite', 'professional tone', 'complaint response', or 'customer correspondence'. | 2 / 3 |
Distinctiveness Conflict Risk | The focus on 'response letters' and 'defensive or harsh language' provides some specificity, but it could overlap with general writing improvement, tone adjustment, or editing skills without clearer boundaries on its niche. | 2 / 3 |
Total | 7 / 12 Passed |
Implementation
14%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill contains genuinely useful domain-specific content (tone transformation tables, polite academic expressions, before/after examples) but it is buried under enormous amounts of generic boilerplate that appears auto-generated. The document is roughly 3-4x longer than it needs to be, with redundant sections, self-referential cross-links to sections that don't exist yet, and generic workflow/error-handling/security content that adds no skill-specific value. The core tone-polishing guidance is solid but the packaging severely undermines usability.
Suggestions
Remove all generic boilerplate sections (Risk Assessment, Security Checklist, Lifecycle Status, Evaluation Criteria, Response Template, Output Requirements, Input Validation) that contain no tone-polishing-specific content—these waste tokens on every invocation.
Consolidate redundant sections: merge 'Example Usage' with 'Usage Examples', 'Quick Check' with 'Audit-Ready Commands', and the two workflow sections into a single clear workflow with tone-polishing-specific validation steps.
Restructure as a concise overview (under 80 lines) with the transformation table and key examples inline, then reference detailed patterns and expressions in the referenced files (references/tone_patterns.md, references/polite_expressions.json).
Add a tone-polishing-specific workflow with validation checkpoints, e.g.: 'After polishing, verify the politeness_score exceeds 0.7 and that original_tone_score decreased; if position preservation fails, reduce polish_level.'
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose and repetitive. Contains massive amounts of boilerplate (Risk Assessment, Security Checklist, Lifecycle Status, Evaluation Criteria, Response Template) that are generic filler unrelated to the specific skill. Multiple sections repeat the same information (e.g., 'Example Usage' and 'Usage Examples', 'Quick Check' and 'Audit-Ready Commands'). Cross-references like 'See ## Prerequisites above' and 'See ## Overview above' point to sections that appear later, suggesting auto-generated content. Explains concepts Claude already knows extensively. | 1 / 3 |
Actionability | The transformation table and before/after examples are genuinely useful and concrete. The Python API example and CLI usage are specific. However, much of the 'actionable' content is boilerplate (generic workflow steps, generic error handling). The core value—the tone patterns and polite expressions—is actionable but buried in noise. No bundle files are provided to verify that the referenced scripts actually exist or work. | 2 / 3 |
Workflow Clarity | There are two separate 'Workflow' sections with conflicting levels of abstraction. The main 'Workflow' section (steps 1-5) is entirely generic boilerplate that could apply to any skill and contains no tone-polishing-specific steps. The 'Example run plan' is also generic. There are no validation checkpoints specific to tone polishing (e.g., verify position preservation, check politeness score thresholds). The quality checklist exists but isn't integrated into the workflow. | 1 / 3 |
Progressive Disclosure | The document is a monolithic wall of text at ~300+ lines with no bundle files provided to support the references to 'references/polite_expressions.json', 'references/tone_patterns.md', etc. Content is poorly organized with redundant sections (two usage example sections, two workflow sections, prerequisites referenced before they appear). Sections like Risk Assessment, Security Checklist, Lifecycle Status, and Evaluation Criteria bloat the file without adding value and should be elsewhere or removed. | 1 / 3 |
Total | 5 / 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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Table of Contents
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