tooluniverse-aging-senescence

Aging biology, cellular senescence, and longevity research. Covers senescence markers (p16/CDKN2A, SASP, SA-beta-gal), aging hallmarks, senolytic drug discovery (dasatinib+quercetin, fisetin, navitoclax), epigenetic clocks, telomere biology, and longevity GWAS. Use for senescence-pathway analysis, age-related disease genetics, senolytic-target discovery, and centenarian-genetics queries. Distinguishes correlative vs causal evidence (knockout, intervention).

Quality

83%

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Passed

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Quality

Content

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

Highly actionable content with executable tool calls throughout and a coherent phased workflow supported by an evidence-grading scheme. Conciseness and progressive disclosure are the weaker dimensions: some explanatory biology could be trimmed, and the skill is a single monolithic file with no external reference split despite its length.

Suggestions

Trim tutorial-style biology explanations (e.g. the 12-hallmarks enumeration and senescence-marker caveat prose) to facts Claude would not already know, improving token efficiency.

Move detailed per-phase tool catalogs or long gene/locus reference tables into a references/ file (e.g. references/hallmarks.md) and link from SKILL.md, enabling one-level-deep progressive disclosure.

Add explicit validation checkpoints in the workflow (e.g. 'Before Phase 4, confirm the hallmark classification and evidence grade from Phases 1-3') to make the feedback loops concrete.

Dimension	Reasoning	Score
Conciseness	Mostly efficient with executable code blocks and tight prose, but sections like the hallmarks enumeration and senescence-marker caveats explain biology Claude largely already knows and could be trimmed.	4 / 5
Actionability	Copy-paste-ready executable tool calls appear in every phase (OpenGenes, GWAS, KEGG, STRING, Reactome, DGIdb, clinical trials, PubMed) with concrete arguments and expected outputs, covering the common query cases.	5 / 5
Workflow Clarity	A clear six-phase pipeline with an explicit Phase 0 parsing step and an evidence-grading framework (T1-T4), but validation/feedback checkpoints are implicit rather than stated as 'verify before proceeding' gates.	4 / 5
Progressive Disclosure	Well-organized into phases with clear section headers, but everything is inlined into one ~180-line file with no bundle files (references/scripts/assets absent) and no signaled one-level-deep references to separate detail files.	3 / 5
	Total	16 / 20 Passed

Description

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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 highly specific, well-triggered description that clearly states what it covers and when to use it, with concrete domain vocabulary and an explicit cause-vs-consequence framing. Minor gaps in synonyms like 'anti-aging'/'lifespan' keep trigger and distinctiveness just below the top anchor.

Dimension	Reasoning	Score
Specificity	Lists many concrete capabilities — senescence markers (p16/CDKN2A, SASP, SA-beta-gal), senolytic drugs (dasatinib+quercetin, fisetin, navitoclax), epigenetic clocks, telomere biology, longevity GWAS — giving comprehensive, specific coverage.	5 / 5
Completeness	Explicitly answers both 'what' (covers the listed biology and drug domains) and 'when' via the 'Use for ...' clause with concrete trigger phrases, plus a distinguishing-evidence note.	5 / 5
Trigger Term Quality	Strong natural triggers ('senescence-pathway analysis', 'senolytic-target discovery', 'centenarian-genetics queries') and good keyword coverage, but a few common user phrasings (e.g. 'anti-aging', 'lifespan') are not explicitly surfaced as trigger terms.	4 / 5
Distinctiveness Conflict Risk	Clear niche (aging/senescence) with explicit boundary guidance ('Not this skill' in the body) and a distinct evidence-grading framing, though it could overlap with adjacent disease-research skills without that body-level disclaimer.	4 / 5
	Total	18 / 20 Passed

Validation

100%

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: mims-harvard/ToolUniverse
Path: plugin/skills/tooluniverse-aging-senescence/SKILL.md
Commit: 1b02920

Reviewed: 1 day ago

Table of Contents

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