meta-results-funnel-plot-generator

Generates a Meta-analysis results section description for funnel plots, including statistical tables (Egger's, Begg's, Trim & Fill) and figure legends. Supports English and Chinese outputs. Use when user provides a funnel plot image and statistics and wants a formatted report.

Quality

69%

Does it follow best practices?

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Securityby

Passed

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Fix and improve this skill with Tessl

tessl review fix ./scientific-skills/Academic Writing/meta-results-funnel-plot-generator/SKILL.md

Quality

Content

46%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 has a sound underlying workflow and well-organized external references, but it is weighed down by redundant boilerplate sections and lacks a validation checkpoint in its batch workflow. Tightening the templated filler and adding a verify step would materially improve it.

Suggestions

Remove the redundant 'When to Use' and 'Key Features' sections that restate the description, and delete the 'See ## Usage/Workflow above' filler lines, to cut padding and improve conciseness.

Add a validation checkpoint to the workflow (e.g., verify output language matches the request, confirm all three tables rendered as valid Markdown, and check the figure reference was inserted) before returning the final report.

Replace the broken external example path with a copy-paste-ready invocation using the script's real flags, e.g. `python scripts/main.py --desc "..." --egger "..." --begg "..." --trim "..." --lang English`.

Dimension	Reasoning	Score
Conciseness	Multiple padded sections add little: 'When to Use' echoes the description verbatim (and lowercased), 'Key Features' restates it again, and 'Example Usage'/'Implementation Details' carry 'See ## Usage/Workflow above' filler and generic boilerplate, making it noticeably verbose.	2 / 5
Actionability	Concrete commands and a real script with flags (--desc/--egger/--begg/--trim/--lang) are referenced, but the body's example path points outside the package and never shows a full real-args invocation, leaving guidance incomplete.	3 / 5
Workflow Clarity	The generate-description → generate-tables → assemble-report sequence is clear and inputs are enumerated, but this batch report-generation workflow has no explicit validation checkpoint, capping workflow clarity at 3.	3 / 5
Progressive Disclosure	Content is appropriately split with clearly signaled, one-level-deep references to the real references/prompts.md and scripts/main.py; minor gaps from redundant inlined boilerplate sections keep it just below a 5.	4 / 5
	Total	12 / 20 Passed

Description

92%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 is specific, complete, and well-targeted: it states concrete capabilities and an explicit use-when trigger in third-person voice. Its only weakness is slightly narrow trigger-term coverage within a specialized domain.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions—generates a meta-analysis results section, statistical tables for Egger's, Begg's, and Trim & Fill, plus figure legends in English and Chinese—matching the comprehensive-coverage anchor.	5 / 5
Completeness	Explicitly answers both what (generates results section with tables and legends) and when ('Use when user provides a funnel plot image and statistics and wants a formatted report') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Includes natural domain terms a user would say ('funnel plot', 'meta-analysis', 'Egger's, Begg's, Trim & Fill', 'statistics') but lacks synonyms or broader variations, fitting the good-but-not-comprehensive anchor.	4 / 5
Distinctiveness Conflict Risk	Occupies a clear, narrow niche (meta-analysis funnel-plot reporting with named bias tests) with distinct triggers and minimal overlap risk with other skills.	5 / 5
	Total	19 / 20 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
Path: scientific-skills/Academic Writing/meta-results-funnel-plot-generator/SKILL.md
Commit: 63c61d3

Reviewed: 3 hours ago

Table of Contents

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