Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Liberty91LTD/cti-skillsnpx agentmods add skills/liberty91ltd/cti-skills/lookup-reversinglabsWrote 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/lookup-reversinglabs)<a href="https://agentmods.dev/skills/liberty91ltd/cti-skills/lookup-reversinglabs"><img src="https://agentmods.dev/badge/skills/liberty91ltd/cti-skills/lookup-reversinglabs/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/lookup-reversinglabs"><img src="https://agentmods.dev/badge/skills/liberty91ltd/cti-skills/lookup-reversinglabs.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 | $0.00095 | $0.02085 |
| Opus 5.5 | $0.00038 | $0.00834 |
| Sonnet 5.5 | $0.00019 | $0.00417 |
| Haiku 4.5 | $0.00010 | $0.00209 |
Grade A, and why
lookup-reversinglabs 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 3d 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
lookup-reversinglabs
Queries ReversingLabs Spectra Analyze (the A1000 appliance API) for authoritative classification, full enrichment reports, sandbox behaviour, MITRE ATT&CK mappings, and network indicator reputation. Retrieval only — do not interpret, assess, or conclude. The invoking skill or agent reasons about the result.
When to invoke
- User asks to check a hash against ReversingLabs / A1000 / Spectra Analyze
- VirusTotal returned thin signal on a hash and you need a vendor-validated verdict
- Investigation needs MITRE ATT&CK technique coverage from a sample's behaviour
- Need parent/child relationships (which container did this drop from? what was unpacked?) for pivoting
- Want to find sibling samples by threat name or AV-detection signature (
/lookup-reversinglabs search) - Need network reputation on a URL, domain, or IP from RL's malware-analysis corpus
- Submitting a sample for fresh static + dynamic analysis (slower; produces a full TitaniumCore + sandbox report)
How to invoke
One CLI: a Python wrapper around the official reversinglabs-sdk-py3. Self-bootstraps a private venv at tools/clis/.venv-reversinglabs/ on first run; no global install. The SDK exchanges your username + password for a session token via /api-token-auth/ automatically.
# Hash classification — fast verdict + AV detection
python3 tools/clis/reversinglabs.py hash <hash> [--av-scanners] [--ticloud]
# Full enrichment report (default detailed; pass --summary for the lighter shape)
python3 tools/clis/reversinglabs.py report <hash> [--summary|--detailed] [--fields F1,F2,...]
# File / URL submission (use --wait to block until analysis completes)
python3 tools/clis/reversinglabs.py submit-file <path> [--wait] [--rl-cloud-sandbox windows10]
python3 tools/clis/reversinglabs.py submit-url <url> [--wait] [--crawler local|tcb|cape|fireeye|vmray]
# Network threat intelligence (no submission — reads existing corpus)
python3 tools/clis/reversinglabs.py url <url>
python3 tools/clis/reversinglabs.py domain <domain>
python3 tools/clis/reversinglabs.py ip <ip> [--pivot files,domains,urls] [--max-results 50]
# Advanced search — pivot by threat name, classification, AV signature
python3 tools/clis/reversinglabs.py search "<query>" [--ticloud] [--max-results 100]
# Parent / child sample relationships
python3 tools/clis/reversinglabs.py containers <hash>
python3 tools/clis/reversinglabs.py extracted <hash> [--max-results 200]
# Read-only: which samples matched a YARA ruleset
python3 tools/clis/reversinglabs.py yara-matches <ruleset_name> [--max-results 200]
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.
- 3d ago Changed · -23 tokens per session 61a9f23075c9
- 2mo ago First seen · 154 lines · 118 tokens per session scan A 368eb2d021fa
lookup-reversinglabs is a skill published in the GitHub repository Liberty91LTD/cti-skills (36 stars, last pushed 4d ago), licensed MIT. It adds 95 tokens to every session and 2,085 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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