Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Sahib-Sawhney-WH/sahibs-claude-plugin-marketplace --skill dataverse-python-appsgit clone --depth 1 https://github.com/Sahib-Sawhney-WH/sahibs-claude-plugin-marketplaceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/dataverse-python-apps)<a href="https://agentmods.dev/skills/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/dataverse-python-apps"><img src="https://agentmods.dev/badge/skills/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/dataverse-python-apps/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/dataverse-python-apps"><img src="https://agentmods.dev/badge/skills/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/dataverse-python-apps.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.01191 |
| Opus 5 | $0.00000 | $0.00596 |
| Sonnet 5 | $0.00000 | $0.00238 |
| Haiku 4.5 | $0.00000 | $0.00119 |
Grade A, and why
dataverse-python-apps scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dataverse-python-apps
This skill provides guidance on building Python applications that use Microsoft Dataverse as a database. Use when users ask about "Python Dataverse app", "Flask Dataverse", "FastAPI Dataverse", "Dataverse backend", "Python API with Dataverse", "Dataverse data pipeline", or need help building Python applications with Dataverse.
Architecture Patterns
Basic Application Structure
my-dataverse-app/
├── app/
│ ├── __init__.py
│ ├── dataverse_client.py # Dataverse connection
│ ├── models.py # Data models
│ ├── services.py # Business logic
│ └── api/
│ └── routes.py # API endpoints
├── config.py
├── requirements.txt
└── main.py
Singleton Client Pattern
# dataverse_client.py
from PowerPlatform.Dataverse.client import DataverseClient
from azure.identity import ClientSecretCredential
import os
_client = None
def get_client() -> DataverseClient:
global _client
if _client is None:
credential = ClientSecretCredential(
tenant_id=os.environ["AZURE_TENANT_ID"],
client_id=os.environ["AZURE_CLIENT_ID"],
client_secret=os.environ["AZURE_CLIENT_SECRET"]
)
_client = DataverseClient(
os.environ["DATAVERSE_URL"],
credential
)
return _client
Flask Integration
from flask import Flask, jsonify, request
from dataverse_client import get_client
app = Flask(__name__)
@app.route('/accounts', methods=['GET'])
def list_accounts():
client = get_client()
pages = client.get(
"account",
select=["accountid", "name"],
filter="statecode eq 0",
top=100
)
accounts = []
for page in pages:
accounts.extend(page)
return jsonify(accounts)
@app.route('/accounts', methods=['POST'])
def create_account():
data = request.json
client = get_client()
ids = client.create("account", data)
return jsonify({"id": ids[0]}), 201
@app.route('/accounts/<account_id>', methods=['GET'])
def get_account(account_id):
client = get_client()
account = client.get("account", account_id)
return jsonify(account)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 182 lines · 0 tokens per session scan A dc82d29ce8e6
dataverse-python-apps is a skill published in the GitHub repository Sahib-Sawhney-WH/sahibs-claude-plugin-marketplace (4 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,191 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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