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 russia-cyber-espionagegit 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/russia-cyber-espionage)<a href="https://agentmods.dev/skills/liberty91ltd/cti-skills/russia-cyber-espionage"><img src="https://agentmods.dev/badge/skills/liberty91ltd/cti-skills/russia-cyber-espionage/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/russia-cyber-espionage"><img src="https://agentmods.dev/badge/skills/liberty91ltd/cti-skills/russia-cyber-espionage.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 | $0.00080 | $0.03057 |
| Opus 5 | $0.00040 | $0.01528 |
| Sonnet 5 | $0.00016 | $0.00611 |
| Haiku 4.5 | $0.00008 | $0.00306 |
Grade A, and why
russia-cyber-espionage 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 9d 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Russia Cyber Espionage Knowledge Cell
Executive Summary
Russia maintains one of the most capable and aggressive state-sponsored cyber operations programs globally, distributed across three primary intelligence services: the GRU (military intelligence), SVR (foreign intelligence), and FSB (federal security service). Each agency operates distinct threat groups with different mandates, tradecraft, and targeting priorities. GRU units are responsible for the most disruptive and destructive operations, including election interference, critical infrastructure attacks, and wiper malware campaigns. The SVR conducts sophisticated, long-term espionage operations exemplified by the SolarWinds supply chain compromise. The FSB focuses on domestic surveillance and regional operations, particularly targeting Ukraine and former Soviet states.
The Russia-Ukraine conflict that escalated in February 2022 dramatically reshaped Russian cyber operations. The conflict saw an unprecedented volume of wiper malware variants (WhisperGate, HermeticWiper, CaddyWiper, IsaacWiper, AcidRain, and others) deployed against Ukrainian targets, alongside persistent espionage campaigns targeting NATO member states, defense contractors, and humanitarian organizations. Sandworm (GRU Unit 74455) emerged as the most prolific operator in the conflict, conducting both destructive attacks and espionage operations. The tempo of operations revealed both the breadth of Russia's offensive capabilities and the limits of cyber operations as a standalone tool of coercion.
Beyond the Ukraine theater, Russian cyber actors continue to target Western governments, defense organizations, think tanks, political entities, and critical infrastructure. APT29's operations against cloud environments and identity providers represent a sophisticated evolution in targeting, while APT28 continues aggressive credential harvesting and exploitation campaigns against government and political targets across NATO nations. Gamaredon maintains high-volume but lower-sophistication operations focused almost exclusively on Ukrainian government entities, serving as a persistent harassment and intelligence collection tool for the FSB.
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.
- 9d ago First seen · 140 lines · 80 tokens per session scan A aaba8e4ff37c
russia-cyber-espionage is a skill published in the GitHub repository Liberty91LTD/cti-skills (18 stars, last pushed 1mo ago), licensed MIT. It adds 80 tokens to every session and 3,057 once invoked, about $0.0004 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 2026-09-03.
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