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 Mikaru0Mystic/sectinel --skill analyzing-malware-family-relationships-with-malpediagit clone --depth 1 https://github.com/Mikaru0Mystic/sectinelWrote 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/mikaru0mystic/sectinel/analyzing-malware-family-relationships-with-malpedia)<a href="https://agentmods.dev/skills/mikaru0mystic/sectinel/analyzing-malware-family-relationships-with-malpedia"><img src="https://agentmods.dev/badge/skills/mikaru0mystic/sectinel/analyzing-malware-family-relationships-with-malpedia/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/mikaru0mystic/sectinel/analyzing-malware-family-relationships-with-malpedia"><img src="https://agentmods.dev/badge/skills/mikaru0mystic/sectinel/analyzing-malware-family-relationships-with-malpedia.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 | $0.00048 | $0.02655 |
| Opus 5 | $0.00024 | $0.01327 |
| Sonnet 5 | $0.00010 | $0.00531 |
| Haiku 4.5 | $0.00005 | $0.00265 |
Grade A, and why
analyzing-malware-family-relationships-with-malpedia scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
resp = requests.get(f"{self.BASE_URL}/list/families", This is a copy
86% identical to analyzing-malware-family-relationships-with-malpedia — 11 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyzing Malware Family Relationships with Malpedia
Overview
Malpedia is a collaborative platform maintained by Fraunhofer FKIE that catalogs malware families with their aliases, YARA rules, threat actor associations, and reference reports. With over 2,600 malware families documented, it serves as the definitive resource for understanding malware lineages, tracking variant evolution, and linking malware to specific threat groups. This skill covers querying the Malpedia API, mapping malware family relationships, extracting YARA rules for detection, and building intelligence on malware ecosystems used by adversaries.
When to Use
- When investigating security incidents that require analyzing malware family relationships with malpedia
- When building detection rules or threat hunting queries for this domain
- When SOC analysts need structured procedures for this analysis type
- When validating security monitoring coverage for related attack techniques
Prerequisites
- Python 3.9+ with
requests,yara-python,stix2libraries - Malpedia API key (register at https://malpedia.caad.fkie.fraunhofer.de/)
- Understanding of malware classification and naming conventions
- Familiarity with YARA rule syntax for detection
- Access to malware samples for validation (optional)
Key Concepts
Malpedia Data Model
Malpedia organizes malware into Families (e.g., "win.cobalt_strike"), each containing: aliases (vendor-specific names like "Beacon", "CobaltStrike"), YARA rules (community and vendor-contributed), actor associations (threat groups using the family), reference reports (CTI reports documenting the family), and sample hashes (representative samples for each variant).
Malware Family Naming
Malpedia uses the format platform.family_name (e.g., win.emotet, elf.mirai, apk.flubot). Platforms include win (Windows), elf (Linux), apk (Android), osx (macOS), and py (Python). This standardized naming resolves the "many names" problem where different vendors assign different names to the same malware.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 First seen · 282 lines · 48 tokens per session scan A d79cc82b96af
analyzing-malware-family-relationships-with-malpedia is a skill published in the GitHub repository Mikaru0Mystic/sectinel (11 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 48 tokens to every session and 2,655 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 86% identical to analyzing-malware-family-relationships-with-malpedia, differing in 11 lines, and is treated as a copy.
Other skills, from other repositories
analyzing-malware-family-relationships-with-malpedia
Query the Malpedia API to look up malware family aliases and naming (platform.familyname), pull community/vendor YARA rules, link families to threat actors, and map family relationships such as loader-payload chains and shared authorship. Use when researching a malware family's aliases, lineage, or actor attribution…
analyzing-malware-family-relationships-with-malpedia
A malware-research workflow built around Malpedia, a collaborative platform that catalogues malware families, aliases, detection rules, threat-actor links, and reports.
analyzing-malware-family-relationships-with-malpedia
Use the Malpedia platform and API to research malware family relationships, track variant evolution, link families to threat actors, and integrate YARA rules for detection across malware lineages.
analyzing-malware-family-relationships-with-malpedia
Use the Malpedia platform and API to research malware family relationships, track variant evolution, link families to threat actors, and integrate YARA rules for detection across malware lineages.
analyzing-malware-family-relationships-with-malpedia
Use the Malpedia platform and API to research malware family relationships, track variant evolution, link families to threat actors, and integrate YARA rules for detection across malware lineages.
analyzing-malware-family-relationships-with-malpedia
Use the Malpedia platform and API to research malware family relationships, track variant evolution, link families to threat actors, and integrate YARA rules for detection across malware lineages.