SKILLEMALL.ai

BB memory-forensics

Comprehensive techniques for acquiring, analyzing, and extracting artifacts from memory dumps for incident response and malware analysis.

sickn33/agentic-awesome-skills Agent Skills author: sickn33 MIT 1 file body ≈ 2 767 tokens Open the sourcegithub.com analyzed 2 d ago

Comprehensive techniques for acquiring, analyzing, and extracting artifacts from memory dumps for incident response and malware analysis.

As a process B 70/100 · Nearly there — weak spots: result and completion, failures and branches, progress reporting

AnalyzerSoftware developmentSecurityInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
93
Quality 40%
81
Run on models
none yet
Process rating
B
70/100
Nearly there
Failures and branches w 10
0
Progress reporting w 2
0
Result and completion w 14
40
the three weakest of ten parameters · all ten

The same skill appears in 2 more places: agentic-awesome-skills, agentic-awesome-skills

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 7

    ✓ No critical or high findings

    Medium and low: 7
    • low Risky intent intent-offensive-security SKILL.md:3
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (quoted — discussed, not commanded)
      description: "Comprehensive techniques for acquiring, analyzing, and extracting artifacts from memory dumps for incident response and malware analysis."
      quoted
    • low Risky intent intent-offensive-security SKILL.md:11
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      Comprehensive techniques for acquiring, analyzing, and extracting artifacts from memory dumps for incident response and malware analysis.
    • low Dangerous commands cmd-privilege SKILL.md:55
      Privilege escalation / world-writable permissions (documentation of a security skill)
      sudo dd if=/dev/mem of=memory.raw bs=1M
      security skill
    • low Dangerous commands cmd-privilege SKILL.md:58
      Privilege escalation / world-writable permissions (documentation of a security skill)
      sudo cp /proc/kcore memory.elf
      security skill
    • low Risky intent intent-offensive-security SKILL.md:229
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      ### Malware Analysis Workflow

    A further 2 matches are quotations in this security skill's documentation and are not counted as findings.

    Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "risk"
    • note frontmatter-key unknown frontmatter key "source"
    • note frontmatter-key unknown frontmatter key "date_added"

    Process rating: all ten parameters 70/100

    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 40Result and completion. Does not say what the result is
    • 50When it triggers. No condition that starts the skill
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 25 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2767 tokens
    • 100Running it twice. No mutating operations
    • low 12 top-level sections: this looks like several domains in one skill

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 137: enough signal without eating the budget
    • +4Structure: 42 headings
    • +3Step-by-step instructions: 25 items
    • +4Has examples (24 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.