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 julianobarbosa/claude-code-skills --skill kqlgit clone --depth 1 https://github.com/julianobarbosa/claude-code-skillsWrote 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/julianobarbosa/claude-code-skills/kql)<a href="https://agentmods.dev/skills/julianobarbosa/claude-code-skills/kql"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/kql/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/julianobarbosa/claude-code-skills/kql"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/kql.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00173 | $0.01554 |
| Opus 5 | $0.00086 | $0.00777 |
| Sonnet 5 | $0.00035 | $0.00311 |
| Haiku 4.5 | $0.00017 | $0.00155 |
Grade A, and why
kql 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 9d 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
KQL Skill
Write, debug, optimize, translate, and automate KQL queries across Azure data platforms.
Workflow Routing
| Workflow | Trigger | File |
|---|---|---|
| WriteQuery | "write a query", "create KQL", "query for", "find events where", "show me" | workflows/WriteQuery.md |
| DebugOptimize | "optimize", "slow query", "fix this KQL", "improve performance", "debug query" | workflows/DebugOptimize.md |
| Translate | "SQL to KQL", "Splunk to KQL", "SPL to KQL", "convert this query" | workflows/Translate.md |
| Tooling | "validate KQL", "run query via CLI", "automate query", "schedule alert", "REST API" | workflows/Tooling.md |
If no specific workflow matches, default to WriteQuery.
Reference Files
Read these as needed — don't load everything upfront:
| Reference | When to Read | File |
|---|---|---|
| Operators & Functions | Writing or reviewing any query | references/operators.md |
| Service Tables | Need to know available tables for a specific service | references/service-tables.md |
| Patterns & Anti-patterns | Optimizing queries or reviewing for best practices | references/patterns.md |
| SQL-to-KQL Map | Translating from SQL | references/sql-to-kql.md |
Sample Queries
The samples/ directory contains production-ready .kql files organized by service. Reference these when writing similar queries — they demonstrate the expected file format and conventions.
Output Format
Every generated query MUST use this .kql file format:
// ============================================================
// Title: <descriptive title>
// Service: <Log Analytics | Sentinel | ADX | App Insights>
// Tables: <comma-separated list of tables used>
// Description: <what this query does and when to use it>
// Parameters: <any variables the user should customize>
// Complexity: <Beginner | Intermediate | Advanced>
// ============================================================
// <the query, with inline comments for non-obvious logic>
What ships with it
15 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.
- evals/evals.json 4.8 KB
- references/operators.md 7.9 KB
- references/patterns.md 8.0 KB
- references/service-tables.md 6.5 KB
- references/sql-to-kql.md 5.3 KB
- samples/adx/iot-anomaly-detection.kql 1.6 KB
- samples/app-insights/slow-dependency-calls.kql 1.7 KB
- samples/log-analytics/container-restart-analysis.kql 1.6 KB
- samples/log-analytics/high-cpu-virtual-machines.kql 1.2 KB
- samples/sentinel/failed-sign-ins-by-location.kql 1.1 KB
- samples/sentinel/suspicious-powershell-execution.kql 1.7 KB
- workflows/DebugOptimize.md 1.9 KB
- workflows/Tooling.md 3.6 KB
- workflows/Translate.md 1.9 KB
- workflows/WriteQuery.md 2.2 KB
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.
- 9d ago First seen · 101 lines · 173 tokens per session scan A ce9ae5c2abb7
kql is a skill published in the GitHub repository julianobarbosa/claude-code-skills (10 stars, last pushed 13d ago), licensed MIT. It adds 173 tokens to every session and 1,554 once invoked, about $0.0009 per session on Opus 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 2026-08-31.
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