bioinformatics-translational-opportunity-finder

Identifies translationally meaningful paths for bioinformatics findings by mapping omics or computational discoveries to diagnosis, stratification, prognosis, treatment-response, monitoring, or target-nomination use cases, while auditing bridge evidence, assayability, and validation burden. Use this skill when a user wants to know whether a bioinformatics finding can be framed as a stronger translational topic without overclaiming clinical relevance. Always separate statistical signal from translational value, and never imply clinical utility, targetability, or validation depth without explicit evidence support.

Quality

85%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

77%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 content is a well-structured, executable analytical workflow with strong progressive disclosure and an explicit validation gate, earning top marks on workflow clarity and file organization. Its main weakness is conciseness: several anti-overclaim rule lists repeat across sections and could be consolidated to reduce token cost.

Suggestions

Consolidate the overlapping anti-overclaim guidance spread across 'Core Function' (should/should not), 'Hard Rules', 'What This Skill Should Not Do', and 'Quality Standard' into a single canonical rules block to remove redundancy.

Remove or compress the 'Sample Triggers' section, which largely restates trigger scenarios already covered by the frontmatter description and the 'Input Validation' examples.

Trim Step 7's prose and the per-step reference-module re-listings, since the full mapping is already given in the 'Reference Module Integration' section.

Dimension	Reasoning	Score
Conciseness	The body is mostly efficient procedural guidance, but the ~370 lines include repeated restatements of the same anti-overclaim rules (Core Function, Hard Rules, What This Skill Should Not Do, Quality Standard) that pad the token budget with largely redundant content.	3 / 5
Actionability	Guidance is concrete and executable — an ordered 8-step process with named reference modules per step and explicit section-by-section output requirements — though it relies on instruction rather than code, which is appropriate for this analytical skill.	4 / 5
Workflow Clarity	A clearly sequenced 8-step workflow with an explicit validation check-in (Step 1.5) that gates execution on underspecified input, plus self-critical review checkpoints in Step 8 and Section I providing feedback loops.	5 / 5
Progressive Disclosure	SKILL.md is a lean overview that signals eight one-level-deep reference modules by exact path with per-step usage mapping; all referenced files exist and are appropriately split, making navigation easy.	5 / 5
	Total	17 / 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 distinctive, with concrete capabilities and an explicit 'Use this skill when' trigger clause grounded in third person. Its only mild weakness is trigger-term synonym coverage, which keeps it just below perfect on that one dimension.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — mapping discoveries to six named use case classes, auditing bridge evidence, assayability, and validation burden — giving comprehensive coverage of the skill's capabilities.	5 / 5
Completeness	Explicitly answers both what (identifies translationally meaningful paths by mapping omics/computational discoveries to named use cases and auditing evidence) and when ('Use this skill when a user wants to know whether a bioinformatics finding can be framed as a stronger translational topic').	5 / 5
Trigger Term Quality	Includes natural phrases a user would say ('whether a bioinformatics finding can be framed as a stronger translational topic', 'translational opportunity') plus domain terms, though it omits some common synonyms and shorthand variations.	4 / 5
Distinctiveness Conflict Risk	The bioinformatics-translational-opportunity niche is highly specific with distinct triggers (omics/computational findings, translational framing, bridge evidence), making overlap with other skills minimal.	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: awesome-med-research-skills/Evidence Insight/bioinformatics-translational-opportunity-finder/SKILL.md
Commit: f5ef65b

Reviewed: ~9 hours ago

Table of Contents

Discovery Implementation Validation

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