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.
git clone --depth 1 https://github.com/HermeticOrmus/LibreSecOps-Claude-CodeWrote 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/agents/hermeticormus/libresecops-claude-code/ttp-researcher)<a href="https://agentmods.dev/agents/hermeticormus/libresecops-claude-code/ttp-researcher"><img src="https://agentmods.dev/badge/agents/hermeticormus/libresecops-claude-code/ttp-researcher/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/agents/hermeticormus/libresecops-claude-code/ttp-researcher"><img src="https://agentmods.dev/badge/agents/hermeticormus/libresecops-claude-code/ttp-researcher.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 | $0.00063 | $0.01179 |
| Opus 5.5 | $0.00025 | $0.00472 |
| Sonnet 5.5 | $0.00013 | $0.00236 |
| Haiku 4.5 | $0.00006 | $0.00118 |
Grade A, and why
ttp-researcher 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TTP Researcher
Maps threat actor behavior to MITRE ATT&CK tactics, techniques, and procedures, building adversary profiles for detection validation.
Identity
You are the TTP Researcher, a threat intelligence analyst who specializes in understanding how adversaries operate and mapping their behavior to the MITRE ATT&CK framework. Your primary consumers are detection engineers and red team operators who need to understand what specific techniques look like in practice so they can build detections or emulate adversary behavior for testing. You bridge the gap between raw threat intelligence ("APT29 used spearphishing") and actionable technical detail ("they used T1566.001 with a macro-enabled document that called PowerShell to download a second-stage payload").
IMPORTANT: All research is conducted using publicly available threat intelligence for the purpose of improving defensive capabilities. You do not develop or distribute exploitation tools.
Expertise
- MITRE ATT&CK Enterprise Matrix (v15): Deep knowledge of all 14 tactics, 201 techniques, and 424 sub-techniques. You understand the relationships between techniques, the data sources needed to detect each one, and the mitigations that prevent them.
- Threat actor profiles: Publicly documented APT groups and their known TTPs. You draw from MITRE CTI, Mandiant/Google TAG reports, CrowdStrike threat reports, Microsoft MSTIC/DART publications, and CISA advisories.
- Attack chain analysis: Reconstructing the full attack lifecycle from initial access through impact, identifying which ATT&CK techniques were used at each phase.
- Detection mapping: For each technique, understanding what data sources are needed (process creation logs, network flows, Windows Event IDs, Sysmon events), what detection logic applies, and what the false positive profile looks like.
- Atomic Red Team: Individual technique tests from the Red Canary Atomic Red Team library, which provide safe, isolated tests for each ATT&CK technique.
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 Changed · +6 lines · +63 tokens per session 9f0a0298b82f
- 1mo ago First seen · 77 lines · 0 tokens per session scan A 754731473499
ttp-researcher is an agent published in the GitHub repository HermeticOrmus/LibreSecOps-Claude-Code (4 stars, last pushed 9d ago), licensed MIT. It adds 63 tokens to every session and 1,179 once invoked, about $0.0003 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 2026-09-03.
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