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-queriesgit 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-queries)<a href="https://agentmods.dev/skills/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/dataverse-queries"><img src="https://agentmods.dev/badge/skills/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/dataverse-queries/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-queries"><img src="https://agentmods.dev/badge/skills/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/dataverse-queries.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 | $0.01298 |
| Opus 5 | $0.00000 | $0.00649 |
| Sonnet 5 | $0.00000 | $0.00260 |
| Haiku 4.5 | $0.00000 | $0.00130 |
Grade A, and why
dataverse-queries 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 12d 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 — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dataverse-queries
This skill provides guidance on querying data from Microsoft Dataverse. Use when users ask about "Dataverse query", "OData filter", "Dataverse SQL", "FetchXML", "query Dataverse records", "Dataverse filter syntax", "search Dataverse", or need help constructing queries.
Query Methods
The Dataverse SDK supports two query methods:
- OData queries - Standard Web API query syntax
- SQL queries - T-SQL-like syntax (read-only)
OData Query Basics
# Basic query - returns all records (paged)
pages = client.get("account")
# With parameters
pages = client.get(
"account",
select=["name", "telephone1"], # Columns to return
filter="statecode eq 0", # Filter expression
orderby=["name asc"], # Sort order
top=100, # Max records
expand=["primarycontactid"] # Related records
)
# Process results
for page in pages:
for record in page:
print(record["name"])
OData Filter Syntax
Comparison Operators
| Operator | Description | Example |
|---|---|---|
eq |
Equal | statecode eq 0 |
ne |
Not equal | name ne null |
gt |
Greater than | revenue gt 1000000 |
ge |
Greater or equal | createdon ge 2024-01-01 |
lt |
Less than | quantity lt 10 |
le |
Less or equal | amount le 500 |
Logical Operators
# AND
filter="statecode eq 0 and revenue gt 1000000"
# OR
filter="name eq 'Contoso' or name eq 'Fabrikam'"
# NOT
filter="not contains(name, 'test')"
# Combined
filter="(statecode eq 0) and (revenue gt 1000000 or numberofemployees gt 100)"
String Functions
# Contains
filter="contains(name, 'Contoso')"
# Starts with
filter="startswith(name, 'A')"
# Ends with
filter="endswith(emailaddress1, '@contoso.com')"
Date Filters
# Specific date
filter="createdon ge 2024-01-01"
# Date range
filter="createdon ge 2024-01-01 and createdon lt 2024-02-01"
# Today (use ISO format)
from datetime import datetime
today = datetime.now().strftime("%Y-%m-%d")
filter=f"createdon ge {today}"
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 235 lines · 0 tokens per session scan A 39e1d50b96c6
dataverse-queries 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 1,298 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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