digital-twin-discharge-drafter

Use when drafting patient discharge summaries, creating personalized discharge instructions, simulating post-discharge outcomes, reducing hospital readmissions, or optimizing care transitions. Generates AI-enhanced discharge documentation with digital twin predictions for improved patient safety.

Quality

65%

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/digital-twin-discharge-drafter/SKILL.md

Quality

Content

42%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 rich with concrete code and tables but is undermined by verbatim description duplication and generic boilerplate, code examples that reference non-existent module paths and methods, and reference files that are never explicitly linked. Tightening padding and reconciling examples with the actual bundle would materially raise quality.

Suggestions

Remove the verbatim description duplicated in 'When to Use' and 'Key Features', and cut the generic boilerplate sections (Output Requirements, Error Handling, Input Validation, Response Template) that add no digital-twin-specific guidance.

Reconcile code examples with the actual bundle: import from 'scripts/main.py' (e.g. 'from scripts.main import DischargeDrafter'), replace the non-existent 'create_summary' call with the real 'generate' signature, and point CLI examples at 'scripts/main.py' rather than 'scripts/discharge_drafter.py'.

Link the specific reference files explicitly (e.g. 'See references/discharge_template.md for the standard section layout') and move the inlined summary-component tables into those references to reduce the monolithic body.

Dimension	Reasoning	Score
Conciseness	Noticeably verbose: the frontmatter description is pasted verbatim into both 'When to Use' and 'Key Features', and four trailing boilerplate sections (Output Requirements, Error Handling, Input Validation, Response Template) plus 'See ## Workflow above' filler add padded, non-skill-specific content.	2 / 5
Actionability	Substantial concrete code is present, but key examples are not executable as written: Quick Start imports 'from scripts.discharge_drafter' and the CLI targets 'scripts/discharge_drafter.py', while the actual bundle file is 'scripts/main.py', and 'create_summary(...)' is called though main.py exposes no such method.	3 / 5
Workflow Clarity	A 5-step Workflow plus Quality Checklist and Quick Check commands provide a sequence with some checkpoints, but the batch CLI path ('--batch ... --auto-escalate-risk') has no explicit validation/verification step, capping workflow clarity at 3 per the batch-operation rule.	3 / 5
Progressive Disclosure	Bundle files exist (references/discharge_template.md, references/medical_terms.json, scripts/main.py) but the body only refers to 'references/' generically without linking the specific files, and template/checklist content that belongs in those references is re-inlined.	3 / 5
	Total	11 / 20 Passed

Description

88%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.

A strong, well-structured description that explicitly covers what the skill does and when to use it with concrete, natural trigger phrases. The main weakness is slightly limited synonym coverage and minor overlap with adjacent patient-education skills.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions (drafting discharge summaries, creating personalized instructions, simulating outcomes, reducing readmissions, optimizing care transitions) plus 'Generates AI-enhanced discharge documentation with digital twin predictions', giving comprehensive coverage.	5 / 5
Completeness	Explicitly answers both 'what' ('Generates AI-enhanced discharge documentation with digital twin predictions for improved patient safety') and 'when' ('Use when drafting...') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Natural phrases like 'drafting patient discharge summaries' and 'reducing hospital readmissions' match what users would say, but synonym coverage is limited (no 'care plan', 'hospital release', 'readmission risk') and there is no file-extension-style breadth.	4 / 5
Distinctiveness Conflict Risk	The digital-twin discharge niche is clearly distinct, but 'creating personalized discharge instructions' and 'optimizing care transitions' carry minor overlap risk with patient-education and care-transition skills.	4 / 5
	Total	18 / 20 Passed

Validation

87%

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 — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning
referenced_paths_exist	Referenced path issues: 3 missing	Warning

	Total	14 / 16 Passed

Repository: aipoch/medical-research-skills
Path: scientific-skills/Academic Writing/digital-twin-discharge-drafter/SKILL.md
Commit: 63c61d3

Reviewed: 6 hours ago

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