abstract-trimmer

Precision editing tool that reduces abstract word count through intelligent compression techniques, maintaining scientific rigor while meeting strict journal and conference requirements.

Quality

61%

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Passed

No known issues

Fix and improve this skill with Tessl

tessl review fix ./scientific-skills/Academic Writing/abstract-trimmer/SKILL.md

Quality

Content

65%

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

The content is highly actionable with concrete commands and tables, but suffers from redundancy, generic boilerplate, and a references bundle that does not match what the body claims. Tightening the boilerplate and aligning references/ with the documented topics would improve the score.

Suggestions

Populate references/guidelines.md (or split into separate files) with the three claimed topics: compression strategies, protected elements guidelines, and journal word limits by publisher.

Remove the verbatim description repetition in 'When to Use' and 'Key Features' and the generic 'Output Requirements'/'Response Template' boilerplate to improve conciseness.

Add an explicit validate-fix-retry feedback loop for the batch processing workflow so batch runs verify word counts and re-process failures.

Dimension	Reasoning	Score
Conciseness	The body is mostly actionable but repeats the description verbatim in 'When to Use' and 'Key Features', and includes generic boilerplate sections ('Output Requirements', 'Response Template') that could be tightened.	2 / 3
Actionability	Provides fully executable, copy-paste-ready commands, a complete parameter table, strategy table, JSON output example, and a real scripts/main.py entry point.	3 / 3
Workflow Clarity	Steps are sequenced with a fallback path, but the documented batch processing lacks explicit validate-fix-retry feedback loops, capping workflow clarity at 2.	2 / 3
Progressive Disclosure	references/guidelines.md exists but is thin and does not contain the three claimed references (compression strategies, protected elements, journal word limits), and much reference-worthy content stays inline.	2 / 3
	Total	9 / 12 Passed

Description

57%

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 clearly conveys the skill's purpose and sits in a distinct niche, but it lacks an explicit usage trigger and relies on only a few natural keywords. Adding a 'Use when...' clause with common terms like 'trim' or 'shorten abstract' would raise completeness and trigger quality.

Suggestions

Add an explicit 'Use when...' clause naming concrete triggers (e.g., 'Use when trimming or shortening abstracts to meet journal or conference word limits').

Include common natural trigger terms users would say, such as 'trim abstract', 'shorten abstract', and 'word limit'.

List a few more concrete capabilities (e.g., batch processing, conservative/balanced/aggressive strategies) to improve specificity.

Dimension	Reasoning	Score
Specificity	Names the domain and some actions ('reduces abstract word count', 'intelligent compression techniques') but does not list multiple specific concrete actions like batch processing or strategy selection.	2 / 3
Completeness	Clearly states what the skill does but provides no explicit 'Use when...' trigger guidance, so completeness is capped at 2 per the judging guidelines.	2 / 3
Trigger Term Quality	Contains relevant terms ('abstract word count', 'journal and conference requirements') but misses common natural variations users would say such as 'trim', 'shorten', or 'word limit'.	2 / 3
Distinctiveness Conflict Risk	The academic abstract word-count reduction niche is narrow and unlikely to trigger for unrelated skills, giving it a clear distinct niche.	3 / 3
	Total	9 / 12 Passed

Validation

93%

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 — 15 / 16 Passed

Validation for skill structure

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

	Total	15 / 16 Passed

Repository: aipoch/medical-research-skills
Commit: 7cc5680

Reviewed: 3 days ago

Table of Contents

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