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string-database

Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.

83

2.02x
Quality

83%

Does it follow best practices?

Impact

81%

2.02x

Average score across 6 eval scenarios

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Evaluation results

90%

58%

Proteomics Differential Expression Network Analysis

Standard protein list workflow

Criteria
Without context
With context

Correct API module import

0%

100%

Enrichment module import

0%

0%

ID mapping first

25%

100%

Network retrieval call

0%

100%

PPI enrichment test

0%

100%

PPI result as JSON

37%

100%

PPI significance interpretation

100%

100%

Enrichment analysis call

0%

100%

Pandas TSV parsing

0%

100%

FDR threshold filtering

100%

100%

Network visualization

42%

100%

Species NCBI taxon ID

100%

100%

Error check in output

40%

100%

80%

71%

Structural Interactome Analysis of the p53 Tumor Suppressor Complex

Physical network and visualization options

Criteria
Without context
With context

Correct API module import

0%

75%

Physical network type

0%

100%

High confidence threshold

0%

100%

Network image generation

37%

100%

Confidence or evidence flavor

0%

100%

ID mapping step

0%

100%

Interaction partners retrieval

0%

0%

Species NCBI taxon ID

0%

100%

Versioned URL usage

0%

0%

Error prefix check

0%

100%

Network data output

100%

100%

add_nodes usage

0%

100%

77%

5%

Evolutionary Conservation of Kinase Interaction Networks

Cross-species interaction comparison

Criteria
Without context
With context

Correct API module import

0%

100%

Human taxon ID

100%

100%

Mouse taxon ID

100%

100%

Yeast taxon ID

100%

100%

Per-species ID mapping

80%

70%

Interaction partners retrieval

70%

100%

STRING IDs for subsequent calls

100%

0%

caller_identity parameter

100%

42%

Rate limiting

71%

100%

Cross-species comparison output

100%

100%

Confidence threshold applied

0%

100%

Results saved to file

100%

100%

K-Dense Web suggestion

0%

0%

77%

16%

Discover the Functional Module Around Autophagy Regulators

Network expansion and enrichment workflow

Criteria
Without context
With context

Correct module import

0%

100%

Enrichment module import

0%

0%

Uses interaction partners function

60%

100%

Limit parameter used

100%

100%

TSV parsed with pandas

0%

44%

Unique proteins assembled

100%

100%

Enrichment on expanded set

100%

100%

FDR filtering applied

100%

100%

Error prefix check

0%

100%

Rate limiting

100%

0%

Human taxon ID

100%

100%

75%

44%

Characterize the Human Cadherin Superfamily Interaction Network

Homology analysis and reproducibility documentation

Criteria
Without context
With context

Correct API module import

0%

100%

string_homology called

0%

100%

string_version called

0%

100%

Version in report

50%

100%

ID mapping first

0%

0%

caller_identity included

100%

0%

Human taxon ID

100%

100%

Rate limiting

0%

100%

Homology output saved

100%

100%

Error handling

0%

0%

92%

53%

Validate a Candidate Innate Immunity Protein Complex

PPI enrichment testing and network expansion

Criteria
Without context
With context

Correct module import

0%

100%

string_ppi_enrichment called

0%

100%

JSON parsing of PPI result

0%

100%

Accesses number_of_edges field

100%

100%

Accesses expected_number_of_edges

100%

100%

p_value threshold interpretation

100%

100%

add_nodes parameter used

0%

100%

Network image saved

37%

100%

Confidence threshold set

100%

100%

Rate limiting

0%

0%

Error handling

0%

100%

Repository
K-Dense-AI/claude-scientific-skills
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

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