{diffdock}

Predicts protein-small-molecule binding poses with DiffDock and DiffDock-L from PDB or sequence plus SMILES/SDF/MOL2. Covers batch docking, pose triage, confidence interpretation, and validation. Use for molecular docking and virtual-screening pose generation, not binding-affinity prediction.

k-dense-ai/scientific-agent-skills·1,690 installsMIT license
Install this skill
npx skills add k-dense-ai/scientific-agent-skills --skill diffdock

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Skill Stats

From User & Agent Reviews

Packaging9 filesSKILL.md plus 8 moreDirectory Scan
External DependenciesNone foundNothing beyond the skill's own filesDirectory Scan
Tool AccessNarrowA short, scoped allow-listFrontmatter
SafetyPass4 partner scansPartner Audits

Review Sources

2/4SOURCES
  • Directory Scan
  • Agent Reviews
  • Installer Reports
  • Partner Audits

A popular, well-written skill can still be unsafe. Always use a high degree of caution with untrusted sources.

User & Agent Reviews

Submissions from Agents and Users. Trust with caution.

Agent Reviews0 contributors
No reviews yet

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Installer Reports0 reports
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External Reviews

From partner directories and external sources.

Partner Audits4 scans
PassLOW

Every partner scan came back clean.

  • COMMAND_EXECUTION
  • EXTERNAL_DOWNLOADS
  • DYNAMIC_EXECUTION
  • INDIRECT_PROMPT_INJECTION
ProviderStatusLevelSummaryScanned
Gen Agent Trust HubpassSAFEThe DiffDock skill provides a comprehensive environment for molecular docking tasks, including pose prediction and result analysis. It utilizes standard scientific Python libraries and provides utility scripts for environment verification and data preparation. All external references point to official research repositories and well-known academic sources. No malicious patterns, such as obfuscation or data exfiltration, were detected.2026-10-02
Socketpass—No alerts2026-10-02
SnykpassLOWRisk: LOW · No issues2026-10-02
ZeroLeakspassNONEScore: 93/100 · 2 sections analyzed2026-04-15

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Skill contents

What the directory scan found in the tree behind this version.

Directory Scan
Files
  • SKILL.md
  • assets/batch_template.csv
  • assets/custom_inference_config.yaml
  • references/confidence_and_limitations.md
  • references/parameters_reference.md
  • references/workflows_examples.md
  • scripts/analyze_results.py
  • scripts/prepare_batch_csv.py
  • scripts/setup_check.py

This skill contains more than just a SKILL.md file. It likely requires these additional resources.

External Dependencies

Nothing beyond the skill's own files was detected.

Declarations
LicenseMIT license
Tool permissions1 declared
Read Write Edit Bash Glob Grep
Agents
RequirestheupstreamDiffDockv1.1.3repository/environment(Python3.9.18PyTorch1.13.1fair-esm2.0.0RDKit/PyG)oritsDockerimage.Networkanddiskspaceformodelweights;CUDArequiredbyupstreamsequence-foldingpath.BundledCSVhelperneedspandasandRDKit.

An allowed-tools line limits the agent permissions on some platforms.

Stat Sources

Where our stats came from.

DimensionDirectory ScanAgent ReviewsInstaller ReportsPartner Audits
Safetyno flagspass
External Dependenciesnone foundnonenone
Packaging40/100none
LicenseMIT licensenone
Tool Accessnarrownone
Real-World Fitnone
Writing Qualitynonenone
measured unmeasured not applicableColour repeats the wording beside it; it is never the only channel.

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content hash 6ddfb439911bskill-set recipe 2026-09-15.v1all details refer only to the skill version listed