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.
63
55%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/analyzing-malware-family-relationships-with-malpedia/SKILL.mdQuality
Discovery
82%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a strong description with excellent specificity and distinctiveness, clearly naming the Malpedia platform and listing concrete threat intelligence actions. The main weakness is the absence of an explicit 'Use when...' clause, which would help Claude know exactly when to select this skill. The domain-specific terminology serves as effective natural trigger terms for security researchers.
Suggestions
Add an explicit 'Use when...' clause, e.g., 'Use when the user asks about malware families, malware variants, threat actor attribution, or YARA rule integration via Malpedia.'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'research malware family relationships', 'track variant evolution', 'link families to threat actors', and 'integrate YARA rules for detection across malware lineages'. | 3 / 3 |
Completeness | Clearly answers 'what does this do' with specific actions, but lacks an explicit 'Use when...' clause or equivalent trigger guidance. The when is only implied by the nature of the actions described. | 2 / 3 |
Trigger Term Quality | Includes strong natural keywords users in threat intelligence would use: 'Malpedia', 'malware family', 'variant evolution', 'threat actors', 'YARA rules', 'malware lineages', and 'detection'. These are terms a security researcher would naturally mention. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive due to the specific mention of 'Malpedia platform and API', combined with the niche domain of malware family research, YARA rules, and threat actor linking. Very unlikely to conflict with other skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
27%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill provides a functional but overly verbose guide to using the Malpedia API. It suffers from excessive inline code that should be split into referenced files, unnecessary explanations of concepts Claude already understands, and lacks proper validation/error handling checkpoints in the workflow. The hardcoded loader-payload chains undermine the skill's stated purpose of dynamically discovering relationships.
Suggestions
Remove the 'Key Concepts' section entirely or reduce to 2-3 lines - Claude knows what malware families, naming conventions, and relationship types are.
Split the MalpediaClient class and MalwareFamilyMapper class into separate referenced files (e.g., MALPEDIA_CLIENT.md, RELATIONSHIP_MAPPER.md) and keep SKILL.md as a concise overview with quick-start examples.
Add explicit validation checkpoints: verify API key works before proceeding, validate family names exist before querying details, test YARA rule compilation with `yara.compile()` before writing to file.
Replace the hardcoded `known_chains` dictionary in `build_loader_payload_chain` with actual API-driven relationship discovery using reference report analysis or attribution data.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is excessively verbose with unnecessary explanations Claude already knows (what Malpedia is, what malware families are, platform naming conventions, relationship types). The 'When to Use' section is generic filler. The 'Key Concepts' section explains basic malware classification concepts that don't need restating. The code is bloated with print statements and could be significantly tightened. | 1 / 3 |
Actionability | The code is mostly executable and concrete, but the `build_loader_payload_chain` method uses hardcoded known chains rather than actually deriving relationships from the API, making it pseudo-intelligence rather than real functionality. The YARA compilation assumes a specific response format without handling the actual API response structure robustly. The code is functional but has gaps in real-world applicability. | 2 / 3 |
Workflow Clarity | Steps are listed sequentially (query, map, extract YARA) but there are no validation checkpoints between steps. No error recovery for API failures beyond returning empty dicts. The 'Validation Criteria' section is a checklist of outcomes rather than integrated verification steps. Missing feedback loops for API rate limiting, invalid family names, or malformed YARA rules. | 2 / 3 |
Progressive Disclosure | This is a monolithic wall of text with ~200+ lines of inline code that could be split into separate reference files. The entire MalpediaClient class, MalwareFamilyMapper class, and YARA compilation could each be in separate files. References section exists but no content is actually split out - everything is dumped into one file. | 1 / 3 |
Total | 6 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Repository
- mukul975/Anthropic-Cybersecurity-Skills
- Commit
c15f73d
- Reviewed
Table of Contents
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