Borrowing it
Nothing to install: this file belongs to omeryemba/mcp-hayabusa. 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/omeryemba/mcp-hayabusa/master/.claude/commands/ingest-ti.mdgit 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/ingest-ti)<a href="https://agentmods.dev/commands/omeryemba/mcp-hayabusa/ingest-ti"><img src="https://agentmods.dev/badge/commands/omeryemba/mcp-hayabusa/ingest-ti/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/commands/omeryemba/mcp-hayabusa/ingest-ti"><img src="https://agentmods.dev/badge/commands/omeryemba/mcp-hayabusa/ingest-ti.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00037 | $0.01074 |
| Opus 5 | $0.00018 | $0.00537 |
| Sonnet 5 | $0.00007 | $0.00215 |
| Haiku 4.5 | $0.00004 | $0.00107 |
Grade A, and why
ingest-ti 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workflow
You are ingesting threat-intelligence indicators (IOCs) and correlating them with this project's detection coverage, following the ingest-ti skill (.claude/skills/ingest-ti/SKILL.md).
Input
Arguments: $ARGUMENTS
Parse as whitespace-separated tokens:
- IOC source file(s) (required, one or more) — every token that is not prefixed
evidence:. If none are given, stop and ask the user for at least one IOC source file before doing anything else. - Evidence file (optional) — a token prefixed
evidence:<path>, a path to a JSON file already saved to disk containing the output of a prior Hayabusa MCP tool call (scan_evtx,hayabusa_csv_timeline,hayabusa_json_timeline, etc.) from earlier in the session. If more than oneevidence:token is given, use the last one and note that the earlier one(s) were overridden.
Example:
/ingest-ti intel/misp_export.json intel/watchlist.json evidence:artifacts/scan_win-client01.json
Steps
-
Confirm at least one IOC source file was supplied; stop and ask if not. Confirm every listed IOC source file exists before running anything; if any don't, tell the user exactly which ones and stop rather than silently dropping them.
-
For each IOC source file, run:
python .claude/skills/ingest-ti/scripts/ingest_ti.py <file>Save each run's stdout to a scratch JSON file (these are intermediate working files, not part of the final saved artifact — don't put them under
investigations/). If a run exits2, stop and report the parse failure for that file rather than silently skipping it. If a run exits1, keep going but carry itsissueslist forward into the note's Limitations section. -
If an
evidence:file was given, confirm it exists. If it doesn't, tell the user and continue without evidence correlation rather than fabricating matches — the same "say so explicitly, don't silently skip" rule/investigate-endpointuses for a missing SIEM integration. -
Run:
python .claude/skills/ingest-ti/scripts/correlate_ti.py <scratch1.json> [<scratch2.json> ...] [--hayabusa-result <evidence-file>]Capture its JSON output. If it exits
2, stop and report the failure — don't fabricate a correlation result.
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 · 101 lines · 37 tokens per session scan A fe57e7413525
ingest-ti is a command published in the GitHub repository omeryemba/mcp-hayabusa (0 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 1,074 once invoked, about $0.0002 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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