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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.

Quality

88%

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SKILL.md
Quality
Evals
Security

Quality

Content

81%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-structured, highly actionable instruction skill with a clearly ordered workflow, explicit validation checkpoints, and a verified one-level reference bundle. Its main weakness is redundancy: the Hard Rules section and repeated rule statements in Steps 4.5/5 versus Sections I/C.5 inflate the token cost without adding new guidance.

Suggestions

Collapse the 23-item Hard Rules section to only rules not already stated inline (most are restatements of Step 4.5, Step 5, Section G, and Section 7 requirements), or replace it with a short checklist of rule IDs pointing back to the sections they enforce.

Deduplicate the citation-integrity rules between Step 4.5 and Section I, and the dependency rules between Step 5 and Section C.5 — state them once and cross-reference the relevant section.

Move the detailed retrieval targets and forbidden-claim enumerations from Step 4.5/Step 5 into literature-retrieval-and-citation.md and workload-configurations.md, keeping only the one-line rule plus the reference link in the main body.

DimensionReasoningScore

Conciseness

The body is mostly efficient, prescriptive, domain-specific guidance with no filler explanation of concepts Claude already knows, but it is materially redundant: the 23-item Hard Rules section restates rules already given in the body (rules 11–13 duplicate Step 4.5's citation rules, 15/17 duplicate Section G, 16–20 duplicate Step 5/Section C.5, 22–23 duplicate Step 7), and Step 4.5/Step 5 rules reappear nearly verbatim in Sections I and C.5. Not 4 because the duplication goes beyond minor trimmable instances (roughly a fifth of the body is repetition); not 2 because the underlying content is genuinely necessary instruction rather than padded explanation.

3 / 5

Actionability

For an instruction-only skill the guidance is fully executable: concrete pattern and config selection tables, exact output sections A–J with required fields, verbatim disclaimer and redirect text to copy, minimum retrieval counts (e.g., '2–4 disease/mechanism background references'), and example formats. Claude knows exactly what to produce for common cases.

5 / 5

Workflow Clarity

'Execution — 7 Steps (always run in order)' gives a clear sequence with explicit validation checkpoints: the mandatory Step 5 dependency consistency check with a revise-before-output feedback loop ('If any dependency inconsistency is found, revise the plan before outputting'), STOP-and-redirect out-of-scope handling, and the Section J six-element self-critical review. Not 4 because checkpoints are explicit and complete, not minor-gap.

5 / 5

Progressive Disclosure

Well-signaled, one-level-deep references: all 8 cited files (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) exist, contain no nested references, and are introduced with clear pointers. Not 5 because Step 4.5's citation rules and Step 5's dependency rules duplicate content in literature-retrieval-and-citation.md and workload-configurations.md instead of being cleanly split between overview and bundle.

4 / 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 description: it states concrete capabilities and deliverables, gives an explicit 'use when' trigger clause with natural phrasing, and occupies a distinct niche. The only meaningful gap is that the mechanism keywords users most often lead with (ferroptosis, pyroptosis, cuproptosis) are absent from the description itself.

DimensionReasoningScore

Specificity

Lists multiple concrete, comprehensive actions and deliverables: 'Generates complete...oncology research designs', 'five study patterns (mechanism-gene-set, subtype-discovery, prognostic-signature, immune-response stratification, translational drug-hypothesis)', and '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'. Coverage is complete rather than having minor gaps, so it exceeds the score-4 anchor.

5 / 5

Completeness

Explicitly answers both: 'what' (generates complete research designs, outputs four workload configs with enumerated deliverables) and 'when' ('Always use this skill whenever a user wants to design, plan, or structure a cancer bioinformatics study built around cell-death patterns...') with concrete trigger phrases in third-person voice.

5 / 5

Trigger Term Quality

Good natural keyword coverage ('design, plan, or structure a cancer bioinformatics study', 'tumor microenvironment', 'prognostic modeling', 'immune landscape analysis', 'mutation profiling', 'computational drug sensitivity'), but the mechanism-level synonyms users would naturally say (ferroptosis, pyroptosis, cuproptosis, anoikis) appear only in the body, not the description. Not 5 because several natural trigger terms are missing; not 3 because present keywords are specific and varied rather than generic.

4 / 5

Distinctiveness Conflict Risk

Clear niche — PCD/RCD bulk-transcriptome oncology research planning — with distinct triggers (cell-death patterns, prognostic modeling, immune landscape, TMB-style profiling). Unlikely to fire for unrelated skills; no generic phrasing that would overlap broadly.

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.

Validation — 15 / 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

Path

awesome-med-research-skills/Protocol Design/pcd-immune-oncology-research-planner/SKILL.md

Reviewed

Table of Contents

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