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 Liberty91LTD/cti-skills --skill domain-investigationgit clone --depth 1 https://github.com/Liberty91LTD/cti-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/liberty91ltd/cti-skills/domain-investigation)<a href="https://agentmods.dev/skills/liberty91ltd/cti-skills/domain-investigation"><img src="https://agentmods.dev/badge/skills/liberty91ltd/cti-skills/domain-investigation/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/liberty91ltd/cti-skills/domain-investigation"><img src="https://agentmods.dev/badge/skills/liberty91ltd/cti-skills/domain-investigation.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 | $0.00090 | $0.02140 |
| Opus 5.5 | $0.00036 | $0.00856 |
| Sonnet 5.5 | $0.00018 | $0.00428 |
| Haiku 4.5 | $0.00009 | $0.00214 |
Grade A, and why
domain-investigation 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 2mo 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 — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
domain-investigation
Investigate a domain or hostname end-to-end. Chain lookup-* skills, consolidate, prioritize follow-up IOCs, and return a rated investigation summary.
This skill invokes: /lookup-liberty91 (first-party — run first), /lookup-virustotal, /lookup-urlscan, /lookup-shodan, /lookup-otx, /lookup-ransomwarelive, optionally /lookup-censys, optionally /lookup-reversinglabs (network threat-intel from RL malware corpus), optionally /lookup-crowdstrike (IOC reputation + actor/malware links), optionally /lookup-misp and/or /lookup-opencti (internal correlation), optionally /lookup-sentinel (exposure check in your own telemetry), then /source-assessment, /tlp-guide, /confidence-levels.
When to invoke
- User asks to investigate, check, or enrich a domain / hostname
- User pastes a suspicious domain and asks "what is this?"
/url-investigationhands off the parent domain for deeper context/ip-investigationsurfaced a hostname worth investigating
Inputs
indicator: <domain or hostname>
context: <optional>
tlp_ceiling: <optional, default AMBER>
Procedure
1. Validate + triage
- Confirm it parses as a valid domain (reject IPs, URLs — route those to the right skill)
- Check for obvious false positives (top 1M domains, your own infrastructure)
- Check
data/iocs/for prior enrichment
2. Parallel lookups
/lookup-virustotal domain <value> # reputation + WHOIS-ish
/lookup-urlscan domain <value> # existing scans (search, not submit)
/lookup-shodan domain <value> # DNS resolve + host fingerprint of the resolved IP
/lookup-otx domain <value> # community pulses + passive DNS
/lookup-ransomwarelive search --q <org-candidate> # victim-status sweep
For the ransomware.live sweep, derive an org-candidate from the domain by stripping the public suffix and any common subdomains (www.acme-corp.com → acme-corp or acme corp). If the apex contains a hyphen or dot, also try the first label alone. The PRO tier returns the full match set in one call (no pagination), so two candidate queries cost at most two of the 3000-call daily budget.
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.
- 2mo ago First seen · 182 lines · 90 tokens per session scan A 39a822fcdad8
domain-investigation is a skill published in the GitHub repository Liberty91LTD/cti-skills (36 stars, last pushed 4d ago), licensed MIT. It adds 90 tokens to every session and 2,140 once invoked, about $0.0004 per session on Opus 5.5. 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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