CtrlK
BlogDocsLog inGet started
Tessl Logo

medical-vector-search

Vector database retrieval and evidence-based answering for medical research topics. Use when users need knowledge-base-backed answers about methodology, disease mechanisms, drug effects, clinical research, or research tools. Input is a medical research question; output is a st...

64

Quality

76%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./scientific-skills/Evidence Insight/medical-vector-search/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

82%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.

The body delivers an actionable, well-structured search-then-answer workflow with concrete commands, a fixed API spec, and precise citation formatting. Its main weakness is generic boilerplate sections that add length without proportional value.

Suggestions

Condense or merge the boilerplate guardrail sections (When to Use, When Not to Use, Required Inputs, Output Contract, Failure Handling, User Checkpoints) since several overlap, to improve conciseness.

Tie the Quick Validation checkpoints to concrete workflow gates (e.g., 'verify score_threshold hits before composing citations') rather than generic checks.

DimensionReasoningScore

Conciseness

The core workflow is efficient and free of padding about concepts Claude already knows, but the generic When to Use / When Not to Use / Required Inputs / Output Contract / Failure Handling / User Checkpoints sections carry some boilerplate that could be trimmed.

4 / 5

Actionability

Provides fully executable guidance: a copy-paste command (`python scripts/search.py "<rewritten query>"`), an import example, a fixed API-parameters table, and the exact citation field path (`child_chunks[0].properties.metadata.helix_wiki_node_url`).

5 / 5

Workflow Clarity

A clearly sequenced 3-step process (rewrite -> search -> parse/cite) with retry guidance on unsatisfactory results, but the validation checkpoints (Quick Validation section) are generic rather than tied to specific workflow gates.

4 / 5

Progressive Disclosure

Well-organized self-contained overview with a single verified bundle file (`scripts/search.py`) referenced one level deep and clean section headers; no deeply nested references, though no separate reference docs exist to further split detail.

4 / 5

Total

17

/

20

Passed

Description

70%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 solid, third-person description that pairs a clear capability statement with an explicit 'Use when' trigger and a scoped medical-research domain. It is concise and distinguishable, with only minor gaps in action specificity and trigger synonym coverage.

Suggestions

Add 1-2 more concrete actions to the 'what' clause (e.g., 'rewrites queries into professional search terms and formats answers with inline citations') to lift specificity.

Broaden trigger terms with natural user synonyms such as 'literature search', 'PubMed lookup', or 'evidence-backed answer'.

DimensionReasoningScore

Specificity

Names the domain ('medical research topics') and two concrete actions ('Vector database retrieval and evidence-based answering'), but does not list the broader set of specific actions the skill performs (query rewriting, citation formatting).

3 / 5

Completeness

Explicitly states both what ('Vector database retrieval and evidence-based answering') and when ('Use when users need knowledge-base-backed answers about...'), but the trigger phrasing is a formulaic domain list rather than varied natural phrasings.

4 / 5

Trigger Term Quality

Good natural keyword coverage via 'methodology, disease mechanisms, drug effects, clinical research, or research tools', though common user synonyms like 'literature search' or 'PubMed' are absent.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear medical-research knowledge-base niche with distinct triggers, with only minor overlap risk against general literature-search skills.

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.

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

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.