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translational-study-blueprint

Designs a translational blueprint for moving a biomedical finding toward diagnosis, prognosis, treatment response prediction, patient stratification, or therapeutic development, with explicit translational milestones, validation thresholds, and feasibility-sensitive route framing.

60

Quality

75%

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tessl review fix ./awesome-med-research-skills/Protocol Design/translational-study-blueprint/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

73%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 clear gated workflow, verified one-level-deep references, and strong anti-fabrication rules. Its main weaknesses are redundancy — the same cautions restated across multiple sections — and the absence of a worked example or concrete threshold specimen that would make the output format unambiguous.

Suggestions

Consolidate the overlapping negative guidance: merge 'What This Skill Should Not Do' into the Hard Rules or the 'should not be used' list, since they largely repeat each other.

Add one compact worked example (a short sample blueprint section or a concrete milestone threshold) so the required output shape is demonstrated, not just prescribed.

Remove the inline evidence-layer list in Step 3 and similar taxonomy duplicated from the reference modules, trusting the mandated module reads to supply it.

DimensionReasoningScore

Conciseness

Individual sentences are lean directives with no explanation of concepts Claude already knows, but the anti-overclaiming theme is repeated across four separate sections ('This skill should not be used to', Hard Rules 2/3/13, 'What This Skill Should Not Do', 'Quality Standard'), and Step 3's evidence-component list duplicates the taxonomy in references/02_evidence_ladder.md. The body could be tightened by roughly a third without losing guidance.

3 / 5

Actionability

For an instruction-only skill the guidance is highly executable: eight sequenced steps each with explicit required fields, a mandatory A–J output structure with section order, a banned-phrase list with what to specify instead ('needs further validation' → validation type, purpose, outcome that changes the route), and a three-way resource categorization. It falls short of 5 because there is no worked example of a completed blueprint or a concrete specimen threshold (e.g., a real milestone gate for a diagnostic use case).

4 / 5

Workflow Clarity

The sequence is explicit and gated: input validation before blueprint construction, claim-boundary definition (Step 1), go/no-go thresholds per stage (Step 6), feasibility branching with fallbacks (Step 7), a self-critical risk review (Hard Rule 15), and an interactive-refinement rule for underspecified requests. These checkpoints and feedback loops match the top anchor; the skill is not a destructive/batch operation, so no cap applies.

5 / 5

Progressive Disclosure

All six referenced modules (references/01 through 06) exist, are one level deep, and each is cited in the body with its explicit purpose ('Use references/02_evidence_ladder.md to separate discovery evidence, technical validation...'). Minor gap: some reference-module taxonomy (e.g., the evidence layers) is also inlined in the body, and the ~295-line body is long for an overview, which slightly blurs the split between overview and reference material.

4 / 5

Total

16

/

20

Passed

Description

66%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 specific, third-person description with a clear niche and good domain vocabulary, weakened by the absence of an explicit 'Use when...' trigger clause and missing common synonyms like 'biomarker' and 'roadmap'. It clearly answers what the skill does but only weakly implies when to use it.

Suggestions

Append an explicit trigger clause, e.g. 'Use when the user wants to move a discovery-stage finding, biomarker, or target toward diagnosis, prognosis, response prediction, stratification, or therapeutic development.'

Add natural synonyms users would say, such as 'biomarker', 'validation roadmap', 'study plan', and 'translate this finding', to improve trigger-term coverage.

Briefly name the output shape (staged evidence plan with go/no-go gates) so the 'what' covers what the user actually receives.

DimensionReasoningScore

Specificity

The description states a concrete primary action ('Designs a translational blueprint') and enumerates specific use-case families ('diagnosis, prognosis, treatment response prediction, patient stratification, or therapeutic development') plus concrete deliverable components ('explicit translational milestones, validation thresholds, and feasibility-sensitive route framing'). It stops short of score 5 because it hangs on a single verb and does not comprehensively cover what the skill's output includes (e.g., staged evidence plan, go/no-go gates).

4 / 5

Completeness

The 'what' is clearly answered (designs a translational blueprint with milestones, thresholds, and route framing), but there is no explicit 'Use when...' trigger clause; the phrase 'for moving a biomedical finding toward...' only weakly implies when to invoke the skill. Per the judging guideline, a missing explicit trigger clause caps completeness at 3.

3 / 5

Trigger Term Quality

Natural domain terms are present ('translational blueprint', 'biomedical finding', 'diagnosis', 'prognosis', 'patient stratification', 'treatment response prediction'), matching phrases researchers would actually say. It is not score 5 because common synonyms and trigger variants are missing — notably 'biomarker', 'roadmap', 'study plan', 'validation plan', and 'bench to bedside'.

4 / 5

Distinctiveness Conflict Risk

The niche is clear (translational route framing from early-stage findings) with triggers unlikely to fire for unrelated skills. Minor overlap risk remains with closely related sibling skills mentioned in the body (feasibility-aware-study-planner, primary-plan-recommender, clinical-question-clarifier), which keeps it below 5.

4 / 5

Total

15

/

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
Reviewed

Table of Contents

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