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medical-english-precision-editor

Improves medical English precision without changing the underlying facts, evidence boundaries, or intended scientific meaning.

49

Quality

54%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./awesome-med-research-skills/Academic Writing/medical-english-precision-editor/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

60%Weight 40%Scale 1-5

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

The body is well-structured with a strong mandatory output template, clear execution sequence, and well-integrated one-level-deep references, but it is materially weakened by heavy repetition of the same constraints and inline duplication of reference content. Trimming redundancy and adding a worked before/after example would most improve it.

Suggestions

Collapse the repeated meaning-preservation/anti-overstatement material into a single authoritative section (e.g., Hard Rules) and have other sections reference it instead of restating it.

Keep the hard-rules and meaning-preservation content only in their reference files, replacing the inline copies with a one-line pointer to avoid duplication.

Add at least one concrete before/after worked example showing a precision edit (terminology fix, tense correction, claim-boundary preservation) to lift actionability toward fully executable guidance.

DimensionReasoningScore

Conciseness

The meaning-preservation and anti-overstatement constraints are restated across roughly seven sections (Task, Scope Boundary, Important Distinctions, Core Function, Execution, Hard Rules, Should-Not-Do, Quality Standard), and the hard-rules content is duplicated inline, producing substantial padding rather than occasional tightening.

2 / 5

Actionability

A concrete mandatory seven-part output template (A–G) and eight sequenced execution steps give mostly executable guidance, but no worked before/after example of an actual precision edit leaves a minor gap.

4 / 5

Workflow Clarity

The eight-step execution sequence is clearly ordered with validation checkpoints (clarify-first loop, Input Match Check, Boundary Check, Step 6 overstrengthening check), but the checkpoints lack crisp pass/fail criteria, keeping it just below a 5.

4 / 5

Progressive Disclosure

Seven one-level-deep reference files are each well-signaled with per-file usage guidance and all verified to exist, but the hard-rules and meaning-preservation content is also duplicated inline rather than kept solely in references, a minor organization gap.

4 / 5

Total

14

/

20

Passed

Description

48%Weight 40%Scale 1-5

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 conveys a clear, distinctive purpose but is thin on actions and lacks any explicit "Use when..." trigger guidance. Adding concrete verbs (e.g., corrects terminology, refines tone) and a trigger clause would materially raise specificity and completeness.

Suggestions

Add a "Use when the user asks to polish, edit, or proofread medical/biomedical English (e.g., manuscript sections, reviewer responses, abstracts) without changing the science" clause to satisfy the 'when' half of completeness.

Replace the single generic verb with a few concrete actions, e.g., "corrects terminology and syntax, refines academic tone, and improves flow".

Include natural trigger synonyms users actually say ("polish", "proofread", "manuscript", "journal paper") to broaden trigger-term coverage.

DimensionReasoningScore

Specificity

Names the domain ("medical English precision") and a single generic action ("Improves...precision"); the remainder is a constraint rather than additional actions, matching the "names domain but actions are minimal" anchor.

2 / 5

Completeness

It clearly states what the skill does but includes no "Use when..." clause or equivalent explicit trigger guidance, which caps completeness at 3 per the rubric.

3 / 5

Trigger Term Quality

"medical English" is a natural user phrase, but common synonyms like polish, edit, proofread, manuscript, and journal are absent, leaving only some relevant keywords.

3 / 5

Distinctiveness Conflict Risk

The medical-specific, evidence-boundary framing is a distinct niche with only minor overlap risk against general academic-editing skills, though the lack of explicit triggers prevents a 5.

4 / 5

Total

12

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
aipoch/medical-research-skills
Reviewed

Table of Contents

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