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 agentmods add skills/kousen/osquerymcpserver/osquerynpx skills add kousen/OsqueryMcpServer --skill osquerygit clone --depth 1 https://github.com/kousen/OsqueryMcpServerWhat 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 | $0.00126 | $0.01877 |
| Opus 5 | $0.00063 | $0.00938 |
| Sonnet 5 | $0.00025 | $0.00375 |
| Haiku 4.5 | $0.00013 | $0.00188 |
Grade A, and why
osquery 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 2d 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 — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Osquery System Diagnostics Skill
Use osquery to answer system diagnostic questions through natural language.
How to Execute Queries
Run osquery with JSON output for structured data:
osqueryi --json "YOUR SQL QUERY HERE"
Important: Always use --json flag for parseable output.
Quick Reference: Common Diagnostics
| User Question | Use This Query |
|---|---|
| "Why is my computer slow?" | High CPU or High Memory query |
| "What's using all my RAM?" | High Memory query |
| "What's using my network?" | Network Connections query |
| "Is my fan running hot?" | Temperature Info query |
| "Is my system compromised?" | Suspicious Processes query |
| "What's causing disk slowdown?" | High Disk I/O query |
| "Give me a system overview" | System Health Summary |
Advanced Queries (see Advanced Scenarios section)
| User Question | Use This Query |
|---|---|
| "What files changed recently?" | File Integrity / file table |
| "Verify this file's hash" | Hash Verification query |
| "Show my browser extensions" | Browser and Application Data |
| "What runs at startup?" | Startup Items and Persistence |
| "Show Docker containers" | Container queries |
| "What apps are installed?" | Applications query |
Predefined Queries
See queries.md for complete SQL templates with explanations.
Interpreting Results
CPU Usage
- cpu_percent > 50% for a single process is high
- System processes like
kernel_task,WindowServerare normal consumers - Browser processes (
Google Chrome Helper) often top the list - normal
Memory Usage
- resident_mb > 1000 (1GB) is significant
- Compare to total system RAM (check with
SELECT physical_memory FROM system_info) - Multiple instances of same app (e.g., Chrome tabs) add up
What ships with it
1 file 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.
- 2d ago First seen · 231 lines · 126 tokens per session scan A d5fdbce127fa
osquery is a skill published in the GitHub repository kousen/OsqueryMcpServer (14 stars, last pushed 2mo ago), licensed MIT. It adds 126 tokens to every session and 1,877 once invoked, about $0.0006 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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