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 commands/omeryemba/mcp-hayabusa/querygit clone --depth 1 https://github.com/omeryemba/mcp-hayabusaWrote 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/commands/omeryemba/mcp-hayabusa/query)<a href="https://agentmods.dev/commands/omeryemba/mcp-hayabusa/query"><img src="https://agentmods.dev/badge/commands/omeryemba/mcp-hayabusa/query.svg" alt="Measured on agentmods" 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 | $0.00009 | $0.00359 |
| Opus 5 | $0.00005 | $0.00179 |
| Sonnet 5 | $0.00002 | $0.00072 |
| Haiku 4.5 | $0.00001 | $0.00036 |
Grade A, and why
query 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 5d 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.
What it actually says
Workflow
You are performing a defensive security investigation.
Input
Arguments: $ARGUMENTS
Parse as:
- query_file (required) — path to a file containing the SIEM query to run. If missing, stop and ask the user for a query file.
- timerange (optional) — defaults to
-24hif not given.
Example:
/query queries/suspicious_logons.txt -24h
Steps
-
Confirm
query_filewas supplied and exists; stop and ask if not. Read the query from it, then execute that query for the giventimerange(default-24h) against SIEM data, if a SIEM MCP tool or resource is configured in this environment. If no SIEM integration is available, say so explicitly rather than silently skipping this step. -
Analyse the results and extract:
- suspicious processes
- users
- IP addresses
- files
- commands
- authentication activity
-
Identify possible MITRE ATT&CK techniques from the findings.
-
Use the detection MCP resources to check:
- whether detection rules exist
- which Sigma rules provide coverage
- whether coverage gaps exist
-
Generate an investigation note.
Output
Investigation Summary
Findings
ATT&CK Mapping
| Technique | Description |
|---|---|
Detection Coverage
| Technique | Status | Rule |
|---|---|---|
Recommendations
- Investigate uncovered techniques.
- Review existing detections.
- Improve detection coverage where gaps exist.
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.
- 5d ago First seen · 69 lines · 9 tokens per session scan A d0e8c2edfd56
query is a command published in the GitHub repository omeryemba/mcp-hayabusa (0 stars, last pushed 1mo ago), licensed MIT. It adds 9 tokens to every session and 359 once invoked, about $0.0000 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.
Other commands, from other repositories
fortigate
Run cs-security-analyst (AT + CA workflows) against the Fintech FortiGate zero-day scenario and produce a 7-task scorecard.
orchestrate
Run the full 4-agent USAP orchestration chain (cs-security-analyst → cs-incident-responder → cs-ciso-advisor → cs-security-program-manager) against the Perfect Storm scenario. Shows inter-agent handoffs and per-agent mock comparison.
README
Claude Code slash commands for the Unified Security Agent Platform (USAP). These commands let you load any USAP skill as a live LLM persona and run structured compliance tests — all inside a Claude Code session.
challenge
Run cs-security-analyst (AT workflow) against the Perfect Storm 8-vector crisis scenario and produce a 12-check mock comparison scorecard.
compare
Before/after comparison of zero-day-response SKILL.md v1 (broken) vs v2 (fixed) against the FortiGate zero-day scenario. Outputs a scored table.
run
Load a USAP skill SKILL.md and activate it as your operating persona. Argument: skill slug.