Borrowing it
Nothing to install: this file belongs to SCStelz/security-investigator. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SCStelz/security-investigator/main/.github/skills/kql-query-authoring/SKILL.mdgit clone --depth 1 https://github.com/SCStelz/security-investigatorWrote 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/scstelz/security-investigator/kql-query-authoring)<a href="https://agentmods.dev/skills/scstelz/security-investigator/kql-query-authoring"><img src="https://agentmods.dev/badge/skills/scstelz/security-investigator/kql-query-authoring/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/scstelz/security-investigator/kql-query-authoring"><img src="https://agentmods.dev/badge/skills/scstelz/security-investigator/kql-query-authoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 80 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 203 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Excessive Agency · line 427 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
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 | $0.00108 | $0.05646 |
| Opus 5 | $0.00054 | $0.02823 |
| Sonnet 5 | $0.00022 | $0.01129 |
| Haiku 4.5 | $0.00011 | $0.00565 |
Grade A, and why
kql-query-authoring 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 — 472 lines — stays where its author put it; the contents beside it link to each section on GitHub.
KQL Query Authoring - Instructions
Purpose
Generate validated, production-ready KQL queries by combining schema validation (331+ indexed tables), Microsoft Learn documentation, community examples, and performance best practices.
Prerequisites
Required MCP Servers:
-
KQL Search MCP Server — Schema validation, query examples, table discovery
- Install:
npm install -g kql-search-mcp(npm)
- Install:
-
Microsoft Docs MCP Server — Official Microsoft Learn documentation and code samples
- GitHub: MicrosoftDocs/mcp
Verification: Tools should be available as mcp_kql-search_* and mcp_microsoft-lea_*.
⚠️ Known Issues
search_favorite_repos Bug (v1.0.5)
❌ Broken — ERROR_TYPE_QUERY_PARSING_FATAL. Use mcp_kql-search_search_github_examples_fallback instead.
⚠️ CRITICAL WORKFLOW RULES - READ FIRST ⚠️
-
Validate table schema FIRST —
mcp_kql-search_get_table_schemato verify table exists, column names, and data types. -
Check platform schema — Sentinel uses
TimeGenerated; Defender XDR usesTimestamp. Microsoft Learn examples default to XDR syntax — always convert before testing on Sentinel. -
Check local query library FIRST — Use the discovery manifest (
.github/manifests/discovery-manifest.yaml) for domain/MITRE lookups andgrep_searchfor table-name/keyword lookups. See the KQL Pre-Flight Checklist incopilot-instructions.mdfor the full priority order. -
Query file structure: NO placeholder TOC — When creating a new query file, do NOT add a
## Quick Reference — Query Indexheading or placeholder.scripts/generate_tocs.pycreates the heading and table itself. Pre-creating it confuses the strip-and-reinsert logic and produces duplicated content. See## Creating Query Filesbelow for full file structure rules. -
Use multiple sources — Schema (authoritative column names) + Microsoft Learn (official patterns) + community queries (real-world examples).
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 · 472 lines · 108 tokens per session scan A 648445035dd5
kql-query-authoring is a skill published in the GitHub repository SCStelz/security-investigator (245 stars, last pushed 3d ago), licensed MIT. It adds 108 tokens to every session and 5,646 once invoked, about $0.0005 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 2026-08-30.
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