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 jonathan-vella/apex-accelerator --skill apex-azure-kustogit clone --depth 1 https://github.com/jonathan-vella/apex-acceleratorWrote 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/jonathan-vella/apex-accelerator/apex-azure-kusto)<a href="https://agentmods.dev/skills/jonathan-vella/apex-accelerator/apex-azure-kusto"><img src="https://agentmods.dev/badge/skills/jonathan-vella/apex-accelerator/apex-azure-kusto/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/jonathan-vella/apex-accelerator/apex-azure-kusto"><img src="https://agentmods.dev/badge/skills/jonathan-vella/apex-accelerator/apex-azure-kusto.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 | $0.00100 | $0.00841 |
| Opus 5.5 | $0.00040 | $0.00336 |
| Sonnet 5.5 | $0.00020 | $0.00168 |
| Haiku 4.5 | $0.00010 | $0.00084 |
Grade A, and why
apex-azure-kusto 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 22d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Data Explorer (Kusto) Query & Analytics
Execute KQL queries against Azure Data Explorer for fast, scalable big-data analytics on log, telemetry, and time-series data.
Prerequisites
- Azure CLI authenticated (
az login) with a subscription containing Kusto resources - RBAC:
AllDatabasesVieweron the cluster, orDatabase Viewerper database - Azure MCP server configured in
.vscode/mcp.jsonfor themcp_azure-mcp_kustonamespace; CLI fallback inreferences/fallback-strategy.md
Steps
- Discover resources — list clusters and databases in the subscription
- Explore schema —
kusto_table_schema_getfor table structure - Query data —
kusto_querywith a KQL expression - Analyse results — aggregate, visualise, export
Query Patterns Quick Reference
| Pattern | Use For |
|---|---|
| Basic Data Retrieval | Quick inspection, recent events |
| Aggregation Analysis | Counting, distribution, top-N |
| Time Series Analytics | Performance monitoring, trends |
| Join and Correlation | Root-cause analysis, event tracing |
| Schema Discovery | Data model exploration |
For full KQL syntax, examples, best practices, and performance tips, read
references/query-patterns.md.
Rules
- Always bound time-series scans with start/end timestamps, including both join inputs
- Use
take/limitfor exploratory queries - Filter early (
wherebeforejoin/summarize) - Use
summarizefor aggregations;bin()for time bucketing - Use
projectto select only needed columns
MCP Tools
These names are capability hints, not proof of installation. Inspect available tools and their current schemas before use; do not invent a missing tool or silently substitute ARG/Monitor for ADX execution.
| Tool | Purpose |
|---|---|
kusto_cluster_list |
List Kusto clusters in a subscription |
kusto_database_list |
List databases in a cluster |
kusto_query |
Execute KQL against a database |
kusto_table_schema_get |
Retrieve table schema |
What ships with it
3 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.
- 22d ago Changed · +2 lines e07b6e68e708
- 23d ago First seen · 79 lines · 100 tokens per session scan A fb147b02f885
apex-azure-kusto is a skill published in the GitHub repository jonathan-vella/apex-accelerator (50 stars, last pushed yesterday), licensed MIT. It adds 100 tokens to every session and 841 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-23.
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