SKILLEMALL.ai

CC performing-dynamic-analysis-with-any-run

Perform interactive dynamic malware analysis using the ANY.RUN cloud sandbox to detonate samples, observe real-time execution behavior, interact with malware prompts such as dialogs and CAPTCHAs, and capture process trees, network traffic, and system changes. Use when a suspicious file or URL needs live, interactive behavioral detonation in a cloud sandbox rather than static analysis alone.

mukul975/Anthropic-Cybersecurity-Skills Agent Skills author: mukul975 Apache-2.0 4 files · 1 script body ≈ 2 528 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Perform interactive dynamic malware analysis using the ANY.RUN cloud sandbox to detonate samples, observe real-time execution behavior, interact with malware…

As a process C 63/100 · Has gaps — weak spots: failures and branches, running it twice, progress reporting

AnalyzerSecurityData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
95
Quality 40%
78
Run on models
none yet
Process rating
C
63/100
Has gaps
Failures and branches w 10
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • 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: 'Perform interactive dynamic malware analysis using the ANY.RUN cloud sandbox
      quoted
    • low Risky intent intent-offensive-security SKILL.md:44
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - Interactive malware analysis is needed where the analyst must click dialogs, enter credentials, or navigate installer screens
    • low Risky intent intent-offensive-security SKILL.md:107
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      3. UAC Prompts:       Click "Yes" to allow elevation (observe privilege escalation)
    • low Risky intent intent-offensive-security SKILL.md:152
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - Geographic visualization of C2 server locations
    • low Risky intent intent-offensive-security SKILL.md:215
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (documentation table row)
      | **Behavioral Tags** | ANY.RUN classification labels automatically applied based on observed behavior (e.g., "trojan", "stealer", "ransomware") |
      table

    Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "domain"
    • note frontmatter-key unknown frontmatter key "subdomain"
    • note frontmatter-key unknown frontmatter key "d3fend_techniques"
    • note frontmatter-key unknown frontmatter key "nist_csf"
    • note frontmatter-key unknown frontmatter key "mitre_attack"
    • note edit-residue the text marks something as outdated (lines 32): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 63/100

    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 2 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 26 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2528 tokens

    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
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • -41 reference files, but SKILL.md never points to them: the model will not open them
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 393: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 26 items
    • +3Output format is stated explicitly
    • +4Has examples (8 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.