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pcd-immune-oncology-research-planner

Generates complete programmed-cell-death (PCD) / regulated-cell-death (RCD) bulk-transcriptome oncology research designs from a user-provided disease and mechanism theme. Always use this skill whenever a user wants to design, plan, or structure a cancer bioinformatics study built around cell-death patterns, tumor microenvironment, prognostic modeling, immune landscape analysis, mutation profiling, and computational drug sensitivity. Covers five study patterns (mechanism-gene-set, subtype-discovery, prognostic-signature, immune-response stratification, translational drug-hypothesis) and always outputs four workload configs (Lite / Standard / Advanced / Publication+) with recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, publication upgrade path, and a strictly verified reference literature retrieval layer with real references only.

69

Quality

85%

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SKILL.md
Quality
Evals
Security

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.

A well-organized, instruction-only skill with a clear sequenced workflow, explicit validation checkpoints, and excellent progressive disclosure via one-level-deep reference files. The main weakness is redundant restatement of citation and dependency guardrails across multiple sections and hard rules, which inflates the token budget without adding guidance.

Suggestions

Consolidate the citation-integrity rules into a single canonical statement (Step 4.5 or Section I) and have Hard Rules 11-13 reference it rather than restate it, to reduce repetition.

Merge the dependency-consistency guidance so it lives authoritatively in Step 5 / Section C.5 and is only cross-referenced by Hard Rules 16-20 instead of being rewritten.

Inline at least the 8-field workflow template (or a condensed skeleton) in Step 6 so the body is self-contained for execution rather than fully delegating to workflow-step-template.md.

DimensionReasoningScore

Conciseness

Mostly efficient but carries notable redundancy: the citation-integrity rules recur in Step 4.5, Section I, and Hard Rules 11-13, and dependency-consistency rules recur across Step 5, Section C.5, and Hard Rules 16-20. Tightening these repetitions would respect the token budget better. Not a 2 because the bulk of the content is purposeful and not padded with concepts Claude already knows.

3 / 5

Actionability

Provides concrete, actionable guidance — exact verbatim redirect text, the exact Dataset Disclaimer line, specific required output sections A-J with required elements, and concrete method/tool lists (ssGSEA, LASSO-Cox, TIDE/TMB, oncoPredict/PRISM/CTRP). Not a 5 because the body defers the actual 8-field workflow template and detailed module/method specs to reference files, leaving minor execution gaps in the body itself.

4 / 5

Workflow Clarity

A clearly sequenced 7-step process ('always run in order') with an explicit mandatory validation checkpoint (Step 5 Dependency Consistency Check 'mandatory before output') and a feedback loop ('If any dependency inconsistency is found, revise the plan before outputting'), plus a Section J self-critical review checklist.

5 / 5

Progressive Disclosure

Well-structured overview with clearly signaled one-level-deep references to real files in references/ (study-patterns.md, workload-configurations.md, literature-retrieval-and-citation.md, workflow-step-template.md, analysis-modules.md, method-library.md, figure-deliverable-plan.md, validation-evidence-hierarchy.md), all confirmed present; content is appropriately split and easy to navigate.

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.

A strong, specific description that clearly states what the skill does and when to use it, with concrete outputs and natural domain trigger terms. Slight room to surface a few more colloquial trigger phrases, but overall highly distinctive and complete.

DimensionReasoningScore

Specificity

Lists multiple concrete actions and outputs: 'Generates complete ... research designs', 'outputs four workload configs (Lite / Standard / Advanced / Publication+)', plus 'recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, publication upgrade path' — comprehensive coverage of what it produces.

5 / 5

Completeness

Explicitly answers both what ('Generates complete ... research designs ... outputs four workload configs') and when ('Always use this skill whenever a user wants to design, plan, or structure a cancer bioinformatics study built around ...') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Good keyword coverage with natural domain phrases a user would say ('design, plan, or structure a cancer bioinformatics study', 'cell-death patterns, tumor microenvironment, prognostic modeling, immune landscape analysis, mutation profiling') and synonyms (PCD/RCD); a few common phrasings (e.g., specific cancer names, TCGA) are absent, so not a full 5.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche — PCD/RCD bulk-transcriptome oncology research design — with distinct triggers and minimal overlap risk with other skills.

5 / 5

Total

19

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
aipoch/medical-research-skills
Reviewed

Table of Contents

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