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analyzing-mft-for-deleted-file-recovery

Analyze the NTFS Master File Table ($MFT) with MFTECmd, analyzeMFT, and X-Ways Forensics to recover metadata and content of deleted files by examining MFT record entries, $LogFile, $UsnJrnl, and MFT slack space. Use when recovering evidence of deleted files, reconstructing NTFS file-system timelines, or detecting anti-forensic timestomping during a Windows forensic examination.

68

Quality

82%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

65%Weight 40%Scale 1-3

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

Highly actionable with concrete commands and working code, but it underuses its own bundle: structure tables are duplicated inline, the sequenced workflows and report template are never linked from the body, and verbose example output plus boilerplate bullets inflate token cost. Validation checkpoints in the body's workflow are implicit rather than stated.

Suggestions

Replace the inline MFT Record Header and Attributes tables with a one-line pointer to references/api-reference.md to remove duplication and tighten conciseness.

Add explicit signals to the bundle files — e.g. 'For sequenced procedures see references/workflows.md; for ready-made parsers see scripts/agent.py and scripts/process.py; for report layout see assets/template.md' — so progressive disclosure is one level deep and navigable.

Trim the ~40-line Example Output block to a brief illustrative snippet, and replace the generic 'When to Use' bullets with case-specific triggers to cut padding.

DimensionReasoningScore

Conciseness

Mostly efficient but padded: the Overview re-explains basic NTFS/MFT concepts, the MFT Record Header and Attributes tables are duplicated verbatim in references/api-reference.md, and a ~40-line Example Output block plus boilerplate 'When to Use' bullets add tokens that could be trimmed.

2 / 3

Actionability

Provides copy-paste-ready PowerShell (MFTECmd/RBCmd/LogFileParser/vssadmin), concrete USN reason codes, and a complete executable Python slack-space parser, matching the fully-executable anchor.

3 / 3

Workflow Clarity

Techniques are presented as parallel options (Technique 1–4) with an implied extract→parse→analyze→correlate flow, but there are no explicit validation checkpoints or feedback loops in the body; the actual sequenced workflows live only in references/workflows.md.

2 / 3

Progressive Disclosure

Content that belongs in references — the MFT structure tables — is duplicated inline instead of pointing to api-reference.md, and the body never signals the available bundle files (workflows.md, scripts/agent.py, scripts/process.py, assets/template.md), so navigation is incomplete.

2 / 3

Total

9

/

12

Passed

Description

100%Weight 40%Scale 1-3

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, specific description with concrete tools and actions, an explicit 'Use when' trigger clause, and a clear, low-conflict forensic niche. It meets the top anchor on all four dimensions.

DimensionReasoningScore

Specificity

Names specific tools (MFTECmd, analyzeMFT, X-Ways Forensics) and multiple concrete actions — 'recover metadata and content of deleted files by examining MFT record entries, $LogFile, $UsnJrnl, and MFT slack space' — matching the multi-action anchor.

3 / 3

Completeness

Explicitly answers both 'what' (analyze $MFT to recover deleted-file metadata/content) and 'when' via a dedicated 'Use when...' clause with explicit triggers, satisfying the top anchor.

3 / 3

Trigger Term Quality

'Use when recovering evidence of deleted files, reconstructing NTFS file-system timelines, or detecting anti-forensic timestomping during a Windows forensic examination' covers natural terms a DFIR practitioner would actually say.

3 / 3

Distinctiveness Conflict Risk

The NTFS-MFT-for-deleted-file-recovery niche is highly specific with distinct forensic triggers, making overlap with other skills unlikely.

3 / 3

Total

12

/

12

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
mukul975/Anthropic-Cybersecurity-Skills
Reviewed

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