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 tsale/awesome-dfir-skills --skill osquery-helpergit clone --depth 1 https://github.com/tsale/awesome-dfir-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/tsale/awesome-dfir-skills/osquery-helper)<a href="https://agentmods.dev/skills/tsale/awesome-dfir-skills/osquery-helper"><img src="https://agentmods.dev/badge/skills/tsale/awesome-dfir-skills/osquery-helper/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/tsale/awesome-dfir-skills/osquery-helper"><img src="https://agentmods.dev/badge/skills/tsale/awesome-dfir-skills/osquery-helper.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 | $0.00028 | $0.01384 |
| Opus 5 | $0.00014 | $0.00692 |
| Sonnet 5 | $0.00006 | $0.00277 |
| Haiku 4.5 | $0.00003 | $0.00138 |
Grade A, and why
osquery-query-helper 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 — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Osquery Query Helper
What This Skill Does
Help users with all aspects of osquery query work:
- Write queries from scratch based on investigation goals
- Validate queries the user has written against the schema
- Troubleshoot queries that aren't working as expected
- Suggest improvements for performance and accuracy
All work is grounded in the tables and columns defined in the provided schema files for the specified EDR platform.
When to Use
- User needs a query written for incident response or threat hunting
- User wants to validate an existing query against the correct schema
- User has a query that's failing and needs help troubleshooting
- User wants suggestions to improve query performance
Schema File Format
Schema files are located in resources/ and named by EDR platform: <platform>_osquery_schema.spec
standard_osquery_schema.spec— Baseline vanilla osquery (default when no platform specified)- EDR-specific examples:
bitdefender_,kolide_,crowdstrike_,sentinelone_,carbonblack_
To discover available platforms:
ls resources/*_osquery_schema.spec 2>/dev/null || ls resources/*.spec
Platform Notation Formats
Schema files use one of two formats to indicate OS compatibility:
Format 1: Explicit platforms([...]) field
table_name("<table_name>")
description("Brief description.")
schema([
Column("column_name", TYPE, "Column description")
])
implementation("<table_name>@genTable")
platforms(["darwin", "linux", "windows"])
Format 2: #platform marker before table definitions
A platform marker on its own line applies to all tables until the next marker:
#darwin
table_name("<mac_only_table>")
...
#linwin
table_name("<linux_windows_table>")
...
Platform Marker Reference
| Marker | Platforms |
|---|---|
#darwin |
macOS only |
#linux |
Linux only |
#windows |
Windows only |
#linwin |
Linux and Windows |
#macwin |
macOS and Windows |
#posix |
macOS, Linux, FreeBSD |
#sleuthkit |
macOS, Linux (requires The Sleuth Kit) |
#utility |
Cross-platform utility tables |
#cross-platform |
All supported platforms |
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.
- 11d ago First seen · 193 lines · 28 tokens per session scan A 0a2fc9fd865a
osquery-query-helper is a skill published in the GitHub repository tsale/awesome-dfir-skills (321 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 1,384 once invoked, about $0.0001 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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