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topic-evidence-mapper

Rapidly maps the evidence landscape around a medical topic by organizing major research streams, target populations, endpoints, methods, evidence density, and thin areas. Use this skill BEFORE medical-research-gap-finder — it provides the structured landscape that makes formal gap analysis more rigorous. Do not use for formal gap identification, study design, or protocol planning directly.

60

Quality

71%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./awesome-med-research-skills/Evidence Insight/topic-evidence-mapper/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

63%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, actionable instruction skill with a clear sequenced workflow and excellent progressive disclosure through real reference modules. Its chief weakness is verbosity from heavy repetition across overlapping summary/goal/rules sections.

Suggestions

Collapse 'Skill Summary', 'Skill Goal', and 'Core Function' into a single concise section — they currently restate the same scope and 'should / should not' lists multiple times.

State the dense-vs-thin and mapping-vs-gap distinction once authoritatively (e.g., in 'Hard Rules') and reference it rather than repeating it in five or more places.

Add one short worked example of a final A–J evidence-map output to make the actionable guidance copy-paste concrete.

DimensionReasoningScore

Conciseness

The body is noticeably padded: 'Skill Summary', 'Skill Goal', 'Core Function', 'Hard Rules', 'What This Skill Should Not Do', and 'Quality Standard' restate the same ideas, and the dense-vs-thin and mapping-vs-gap distinctions repeat five or more times across sections.

2 / 5

Actionability

Concrete instruction-only guidance: a 7-step Decision Logic with each step bound to a reference module, a mandatory A–J output structure, and a verbatim out-of-scope redirect message; the gap is the absence of a worked example of a final evidence map.

4 / 5

Workflow Clarity

A clear seven-step sequence with an input-validation gate (redirect-and-stop for out-of-scope) and an incomplete-output rule; no explicit validate→fix→retry feedback loop, so it is not a 5.

4 / 5

Progressive Disclosure

SKILL.md is an overview pointing to nine real, clearly signaled, one-level-deep reference modules (all verified present), each bound to a specific step or output section, giving easy navigation.

5 / 5

Total

15

/

20

Passed

Description

78%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 names concrete mapping dimensions, gives a clear sequencing trigger, and actively distinguishes itself from a sibling skill. The main weakness is that the 'when' is expressed as ordering relative to another skill rather than as concrete user-need trigger phrases.

DimensionReasoningScore

Specificity

Lists multiple concrete organizing dimensions — 'major research streams, target populations, endpoints, methods, evidence density, and thin areas' — giving comprehensive coverage, though it rests on essentially one core action (map/organize) applied to many objects rather than several distinct verbs.

4 / 5

Completeness

Clearly states the 'what' (maps/organizes the evidence landscape) and a 'when' (before gap-finder), but the 'when' is a sequencing trigger tied to another skill rather than concrete user-need trigger phrases, so it is not a 5.

4 / 5

Trigger Term Quality

Includes the natural phrase 'maps the evidence landscape' plus strong domain terms and a sequencing trigger ('Use this skill BEFORE medical-research-gap-finder'); a few common synonyms a user might actually say are missing.

4 / 5

Distinctiveness Conflict Risk

Carves a clear niche (evidence-landscape mapping) and explicitly disambiguates from medical-research-gap-finder with a 'Do not use for formal gap identification...' clause, minimizing conflict risk.

5 / 5

Total

17

/

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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