Install
$ agentstack add skill-legendtkl-agentic-skill-router-skill-038 ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Chemical Database Manager Guide
Overview
This skill empowers users to manage and query chemical databases effectively. It provides functionalities to store, retrieve, and organize data related to chemical compounds, enhancing research capabilities in chemistry.
Key Features
- Database Creation: Set up and configure a new chemical database.
- Data Entry: Input chemical compounds and their properties into the database.
- Querying: Perform complex queries to retrieve specific information based on various criteria (e.g., molecular weight, boiling point).
Quick Start
Creating a Database
from chemical_db_manager import ChemicalDatabase
# Initialize a new chemical database
db = ChemicalDatabase("my_chemical_db")
# Create the database structure
db.create_structure()
Inserting Data
To add new compounds into the database:
compound_data = {
"name": "Acetic Acid",
"formula": "C2H4O2",
"molecular_weight": 60.05,
"boiling_point": 118.1
}
db.insert_compound(compound_data)
Querying Data
Retrieve compounds based on specific criteria:
results = db.query_compounds(molecular_weight=60)
for compound in results:
print(f"Compound: {compound['name']}, Formula: {compound['formula']}")
Advanced Features
- Data Export: Export the database to various formats such as CSV or JSON for analysis.
- Data Analysis: Integrate with analytical tools for deeper insights into chemical properties and relationships.
For in-depth documentation on querying and data management, visit docs/chemicaldatabasemanager.md.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: legendtkl
- Source: legendtkl/agentic-skill-router
- License: MIT
- Homepage: https://legendtkl.github.io/agentic-skill-router/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.