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analyzing-bootkit-and-rootkit-samples

Analyzes bootkit and advanced rootkit malware that infects the Master Boot Record (MBR), Volume Boot Record (VBR), or UEFI firmware to gain persistence below the operating system. Covers boot sector analysis, UEFI module inspection, and anti-rootkit detection techniques. Activates for requests involving bootkit analysis, MBR malware investigation, UEFI persistence analysis, or pre-OS malware detection.

90

Quality

88%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Discovery

100%

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 an excellent skill description that clearly defines a narrow, specialized domain (boot-level malware analysis), lists concrete capabilities, and includes an explicit activation clause with natural trigger terms. It uses proper third-person voice throughout and would be easily distinguishable from other security-related skills.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'boot sector analysis', 'UEFI module inspection', 'anti-rootkit detection techniques', and describes the domain precisely (MBR, VBR, UEFI firmware persistence below the OS).

3 / 3

Completeness

Clearly answers both 'what' (analyzes bootkit/rootkit malware, covers boot sector analysis, UEFI module inspection, anti-rootkit detection) and 'when' with an explicit activation clause: 'Activates for requests involving bootkit analysis, MBR malware investigation, UEFI persistence analysis, or pre-OS malware detection.'

3 / 3

Trigger Term Quality

Includes strong natural keywords users would say: 'bootkit', 'rootkit', 'MBR malware', 'UEFI persistence', 'boot sector', 'pre-OS malware detection', 'anti-rootkit'. These cover the main variations a security analyst would use.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive niche focusing specifically on boot-level and UEFI firmware malware. The triggers (bootkit, MBR malware, UEFI persistence, pre-OS malware) are very specific and unlikely to conflict with general malware analysis or other security skills.

3 / 3

Total

12

/

12

Passed

Implementation

77%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a strong, highly actionable skill with excellent executable commands and a well-structured multi-step workflow covering the full bootkit/rootkit analysis pipeline. Its main weaknesses are moderate verbosity from glossary definitions and tool descriptions that Claude already knows, and a monolithic structure that could benefit from splitting reference material into separate files. The known bootkit detection points and detailed output format template are particularly valuable additions.

Suggestions

Remove or significantly trim the Key Concepts glossary table and Tools & Systems section - Claude already knows what MBR, UEFI, DKOM, and Volatility are; keep only non-obvious domain-specific details.

Extract the known UEFI bootkit detection points (LoJax, BlackLotus, CosmicStrand, etc.) and the output format template into separate reference files linked from the main skill.

DimensionReasoningScore

Conciseness

The skill is fairly comprehensive but includes some unnecessary content like the Key Concepts glossary table (Claude knows what MBR, UEFI, DKOM, and DSE are) and the Tools & Systems section which largely restates obvious tool purposes. The known UEFI bootkit detection points section is valuable domain knowledge, but the glossary adds token bloat.

2 / 3

Actionability

Excellent executable commands throughout - dd commands for acquisition, ndisasm for disassembly, complete Python scripts for MBR analysis, Volatility 3 commands for rootkit detection, chipsec commands for firmware analysis, and sigcheck commands for boot chain verification. All code is copy-paste ready with specific flags and arguments.

3 / 3

Workflow Clarity

Six clearly sequenced steps from acquisition through documentation, with logical progression (acquire → analyze MBR → analyze UEFI → detect rootkit → verify boot chain → document). Includes validation checkpoints like SHA256 verification of firmware dumps, comparison against known-good baselines, and explicit integrity verification in Step 5. The scenario section also includes pitfalls as implicit validation guidance.

3 / 3

Progressive Disclosure

The content is a long monolithic document (~250+ lines) that could benefit from splitting detailed sections (e.g., known bootkit signatures, UEFI malware patterns, YARA rules) into separate reference files. The Key Concepts table and Tools section could be external references. However, the main workflow sections are well-organized with clear headers.

2 / 3

Total

10

/

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.

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
mukul975/Anthropic-Cybersecurity-Skills
Reviewed

Table of Contents

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