zjunlp/alfworld-location-navigator
skills/skill-collections/alfworld/alfworld-location-navigator/SKILL.md
Moves the agent to a specified receptacle or object location within the Alfworld environment. Use this skill when the agent needs to physically approach a target to inspect or interact with it, such as when checking an object's state or preparing for pickup. The skill takes a target location name as input and executes the 'go to' action, resulting in the agent being positioned at the destination for subsequent operations.
$ install --global
skillsauthnpx skillsauth add zjunlp/Skills alfworld-location-navigatorInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 15, 2026, 5:16 AM4.9s3 files scanned
SKILL.md
- name:
- alfworld-location-navigator
- description:
- Moves the agent to a specified receptacle or object location within the Alfworld environment. Use this skill when the agent needs to physically approach a target to inspect or interact with it, such as when checking an object's state or preparing for pickup. The skill takes a target location name as input and executes the 'go to' action, resulting in the agent being positioned at the destination for subsequent operations.
Instructions
Use this skill to navigate to a specific location in the Alfworld environment. The skill will move the agent directly to the target receptacle or object.
Input
Provide the target location name as a string (e.g., "toiletpaperhanger 1", "toilet 1").
Process
- The skill validates the target location against the current environment observation.
- It executes the
go to {target}action. - It returns the environment's observation after the move.
Notes
- Ensure the target location is visible in the agent's current observation before calling this skill.
- This skill is for navigation only. Use other skills for object interaction (take, put, etc.).
- If the action fails (e.g., "Nothing happened"), the agent may need to replan its path or verify the target name.
Related Skills
zjunlp/scikit-learn
development
VerifiedTrustedCommunity
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
7SKILL.mdUpdated Apr 24, 2026
zjunlp/reactome-database
development
VerifiedTrustedCommunity
Query Reactome REST API for pathway analysis, enrichment, gene-pathway mapping, disease pathways, molecular interactions, expression analysis, for systems biology studies.
7SKILL.mdUpdated Apr 24, 2026
zjunlp/rdkit
tools
VerifiedTrustedCommunity
Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows with simpler interface, use datamol (wrapper around RDKit). Use rdkit for advanced control, custom sanitization, specialized algorithms.
7SKILL.mdUpdated Apr 24, 2026
zjunlp/pyopenms
development
VerifiedTrustedCommunity
Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal processing, feature detection, peptide identification, and quantitative analysis. Apply when working with mass spectrometry data, analyzing proteomics experiments, or processing metabolomics datasets.
7SKILL.mdUpdated Apr 24, 2026