SKILLEMALL.ai

DB detecting-cryptomining-in-cloud

This skill teaches security teams how to detect and respond to unauthorized cryptocurrency mining operations in cloud environments. It covers identifying cryptomining indicators through compute usage anomalies, network traffic patterns to mining pools, GuardDuty CryptoCurrency findings, and runtime process monitoring on EC2, ECS, EKS, and Azure Automation workloads.

mukul975/Anthropic-Cybersecurity-Skills Agent Skills author: mukul975 Apache-2.0 4 files · 1 script body ≈ 3 298 tokens Open the sourcegithub.com↗ analyzed 5 d ago

This skill teaches security teams how to detect and respond to unauthorized cryptocurrency mining operations in cloud environments.

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

ProcedureAzureAWSGitHubInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
D
69/100
safety, quality, tests
Safety 60%
61
Quality 40%
82
Run on models
none yet
Process rating
B
70/100
Nearly there
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 · 11

    ✓ No critical or high findings

    Medium and low: 11
    • medium Dangerous commands cmd-cryptominer references/api-reference.md:11
      Installs or runs a cryptocurrency miner on the user's machine (documentation of a security skill)
      | Process | Runtime Monitoring | xmrig, ccminer, ethminer |
      security skill
    • medium Dangerous commands cmd-cryptominer references/api-reference.md:60
      Installs or runs a cryptocurrency miner on the user's machine (documentation of a security skill)
      pool.minexmr.com, xmr.pool.minergate.com, monerohash.com,
      security skill
    • medium Dangerous commands cmd-cryptominer references/api-reference.md:61
      Installs or runs a cryptocurrency miner on the user's machine (documentation of a security skill)
      xmrpool.eu, supportxmr.com, pool.hashvault.pro,
      security skill
    • medium Dangerous commands cmd-cryptominer scripts/agent.py:12
      Installs or runs a cryptocurrency miner on the user's machine (string literal in code, not executed)
      "pool.minexmr.com", "xmr.pool.minergate.com", "monerohash.com",
      code literal
    • medium Dangerous commands cmd-cryptominer SKILL.md:193
      Installs or runs a cryptocurrency miner on the user's machine (documentation of a security skill)
      # - Images containing xmrig, cpuminer, minergate, or ccminer binaries
      security skill
    • medium Dangerous commands cmd-cryptominer SKILL.md:293
      Installs or runs a cryptocurrency miner on the user's machine (documentation of a security skill)
      | XMRig | Open-source Monero mining software commonly found in cryptojacking attacks, often deployed as a hidden binary in containers |
      security skill
    • medium Dangerous commands cmd-cryptominer SKILL.md:343
      Installs or runs a cryptocurrency miner on the user's machine (documentation of a security skill)
      Mining Pool: stratum+tcp://pool…333
      security skill
    • low Dangerous commands cmd-cryptominer scripts/agent.py:13
      Installs or runs a cryptocurrency miner on the user's machine (detector / deny-list definition; string literal in code, not executed)
      "xmrpool.eu", "supportxmr.com", "pool.hashvault.pro",
      detectorcode literal
    • low Risky intent intent-offensive-security SKILL.md:67
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      **Do not use** for legitimate cryptocurrency mining operations, for non-cloud mining detection on physical hardware, or for general malware analysis unrelated to mining activity.
      detector
    • low Secrets in code secret-aws-key SKILL.md:336
      AWS access key ID (placeholder value)
      Credential: AKIA…PLE (user: ci-deploy)
      placeholder
    • low Secrets in code secret-aws-key SKILL.md:352
      AWS access key ID (placeholder value)
      [14:25] IAM access key AKIA…PLE deactivated
      placeholder

    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 "nist_csf"
    • note frontmatter-key unknown frontmatter key "mitre_attack"
    • note frontmatter-key unknown frontmatter key "mitre_f3"

    Process rating: all ten parameters 70/100

    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 12 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 26 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3298 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
    • -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 368: 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: 82.