russia-cyber-espionage

russia-cyber-espionage is a skill for Claude Code from Liberty91LTD/cti-skills. It costs 80 tokens per session (8,726 once invoked), scanned A, original, MIT.

A reference guide to Russian state-backed cyber groups, their intelligence services, attack methods, and information operations.

In plain words
What is it for?
It supports research into groups such as APT28, Sandworm, APT29, and Turla, including attacks linked to the war in Ukraine.
Why use it?
It helps analysts understand who may be behind a Russian cyber campaign and what patterns to look for.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Good fit It supports research into groups such as APT28, Sandworm, APT29, and Turla, including attacks linked to the war in Ukraine.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/liberty91ltd/cti-skills/russia-cyber-espionage
Install

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.

Any agent
npx skills add Liberty91LTD/cti-skills --skill russia-cyber-espionage
Clone the repo
git clone --depth 1 https://github.com/Liberty91LTD/cti-skills

Made for: Claude Code.

Wrote 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.

agentmods badge for russia-cyber-espionage

README.md
[![agentmods](https://agentmods.dev/badge/skills/liberty91ltd/cti-skills/russia-cyber-espionage/github.svg)](https://agentmods.dev/skills/liberty91ltd/cti-skills/russia-cyber-espionage)
Your own site
<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.

agentmods 80×15 button for russia-cyber-espionage

Your own site · 80×15
<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>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,726 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00080 $0.08726
Opus 5.5 $0.00032 $0.03490
Sonnet 5.5 $0.00016 $0.01745
Haiku 4.5 $0.00008 $0.00873

Measured 1mo ago against content hash 0686f09f74c7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 1mo 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.

skills/russia-cyber-espionage/SKILL.md · 259 lines

How it starts

The opening of the file, as written. The whole thing — 259 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). GRU units run the most disruptive and destructive operations and the largest credential-theft campaigns. The SVR conducts long-term espionage against governments, diplomats and cloud identity systems. The FSB runs both high-volume operations against Ukraine (Gamaredon) and selective, long-lived espionage (Turla, Center 16 network-device intrusions, Star Blizzard).

The war in Ukraine remains the center of gravity. ESET reporting covering October 2024 to March 2026 describes Sandworm deploying a succession of new wipers (ZEROLOT, Sting and others) against Ukrainian energy, government, logistics and grain-sector targets, and Gamaredon as the most active group targeting Ukraine [10][11][12]. APT28 has spent more than two years targeting Western logistics and technology companies that move aid to Ukraine [9], and Ukrainian drone manufacturers are now a recurring target for both GRU and SVR-linked operators [12][25].

Three developments since early 2025 change the picture. First, destructive activity reached a NATO member: on 29 December 2025 wipers and attacks on industrial devices hit more than 30 wind and solar farms, a combined heat and power plant and a manufacturer in Poland [14]. Attribution is contested. ESET attributes the DynoWiper malware to Sandworm with medium confidence [13], CERT Polska reports infrastructure overlap with the FSB-linked cluster known as Static Tundra or Berserk Bear [14], and in July 2026 the UK and EU member states formally attributed the attack to FSB Center 16 [15][16]. Second, Russian services are increasingly working from the network path rather than the endpoint: Turla uses an ISP-level adversary-in-the-middle position inside Russia against embassies [26], APT28 hijacked DNS on compromised home and small-office routers [35], and a Midnight Blizzard sub-cluster manipulated hotel and conference Wi-Fi captive portals [24]. Third, Western governments have moved against the ecosystem around the services: Operation Eastwood against NoName057(16) in July 2025 [39], US indictments and a joint advisory on GRU-supported hacktivist fronts in December 2025 [37][38], a US disruption of the APT28 router network in April 2026 [35], and coordinated UK and EU sanctions in July 2026 [15][17].

Read the full file on GitHub · 259 lines

Changes

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.

  1. 1mo ago Changed · +119 lines 0686f09f74c7
  2. 2mo ago First seen · 140 lines · 80 tokens per session scan A aaba8e4ff37c

Subscribe to this mod's changes

russia-cyber-espionage is a skill published in the GitHub repository Liberty91LTD/cti-skills (36 stars, last pushed 4d ago), licensed MIT. It adds 80 tokens to every session and 8,726 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.

Related

Other skills, from other repositories

analyzing-campaign-attribution-evidence

Systematically evaluate cyber-campaign evidence to attribute an operation to a threat actor, using the Diamond Model and Analysis of Competing Hypotheses (ACH) to weigh infrastructure overlaps, TTP consistency, malware code similarity, and timing/language artifacts into confidence-weighted attribution assessments. Use…

mukul975/Anthropic-Cybersecurity-Skills · 79 tokens

analyzing-threat-actor-ttps-with-mitre-attack

MITRE ATT&CK is a globally-accessible knowledge base of adversary tactics, techniques, and procedures (TTPs) based on real-world observations. This skill covers systematically mapping threat actor beh.

26zl/cybersec-toolkit · 54 tokens

analyzing-threat-landscape-with-misp

Analyze the threat landscape using MISP (Malware Information Sharing Platform) by querying event statistics, attribute distributions, threat actor galaxy clusters, and tag trends over time. Uses PyMISP to pull event data, compute IOC type breakdowns, identify top threat actors and malware families, and generate threat…

26zl/cybersec-toolkit · 75 tokens

analyzing-campaign-attribution-evidence

Use when campaign attribution analysis involves systematically evaluating evidence to determine which threat actor or group is responsible for a cyber operation. This skill covers collecting and weighting attr.

oyi77/1ai-skills · 40 tokens

prompt-injection-auditor

Security audit of LLM system prompts, agent instruction files (SKILL.md, AGENTS.md, CLAUDE.md), and agent configurations against prompt injection attacks. Use when the user wants to (1) audit or harden a system prompt or agent instructions against prompt injection, (2) review an agent skill or system prompt for…

screem500/prompt-injection-auditor · 159 tokens

analyzing-campaign-attribution-evidence

Campaign attribution analysis involves systematically evaluating evidence to determine which threat actor or group is responsible for a cyber operation. This skill covers collecting and weighting attr.

26zl/cybersec-toolkit · 38 tokens