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BC cloud-penetration-testing

Conduct comprehensive security assessments of cloud infrastructure across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).

sickn33/agentic-awesome-skills Agent Skills author: sickn33 MIT 3 files body ≈ 1 131 tokens Open the sourcegithub.com↗ analyzed 18 h ago

Conduct comprehensive security assessments of cloud infrastructure across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

AnalyzerAWSAzureGoogle CloudInfrastructuretype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
88
Quality 40%
88
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
When it triggers w 12
20
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: cloud-penetration-testing (sickn33/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 · 12

    ✓ No critical or high findings

    Medium and low: 12
    • low Risky intent intent-offensive-security references/advanced-cloud-scripts.md:1
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      # Advanced Cloud Pentesting Scripts
    • low Risky intent intent-offensive-security references/advanced-cloud-scripts.md:3
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      Reference: [Cloud Pentesting Cheatsheet by Beau Bullock](https://github.com/dafthack/CloudPentestCheatsheets)
    • low Exfiltration net-credential-use references/advanced-cloud-scripts.md:107
      Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
      $Tokens = Invoke-RestMethod `
      security skill
    • low Secrets in code secret-high-entropy-token references/advanced-cloud-scripts.md:198
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      tail $d/scoutsuite-results/scoutsuite_results*.js -n +2 | jq '.account_id, .ser…gs."s3-b…ead".items[]' >> s3-buckets-world-listable.txt
      quoted
    • low Risky intent intent-offensive-security references/advanced-cloud-scripts.md:242
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      ## Password Spraying with Az PowerShell
    • low Risky intent intent-offensive-security references/advanced-cloud-scripts.md:300
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      | MSOLSpray | github.com/dafthack | O365 password spraying |
    • low Risky intent intent-offensive-security references/detailed-guide.md:1
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      # Cloud Penetration Testing - Detailed Guide
    • low Risky intent intent-offensive-security references/detailed-guide.md:7
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      Conduct comprehensive security assessments of cloud infrastructure across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). This skill covers reconnaissance, authentication
      detector
    • low Secrets in code secret-high-entropy-token references/detailed-guide.md:229
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      TOKEN=$(curl -X PUT "http://169.254.169.254/latest/api/token" -H "X-aw…ds: 21600")
      quoted
    • low Exfiltration net-credential-use references/detailed-guide.md:230
      Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
      curl http://169.254.169.254/latest/meta-data/profile -H "X-aw…en: $TOKEN"
      security skill
    • low Dangerous commands cmd-privilege references/detailed-guide.md:316
      Privilege escalation / world-writable permissions (documentation of a security skill)
      sudo cp -r /home/user/.config/gcloud ~/.config
      security skill
    • low Risky intent intent-offensive-security SKILL.md:27
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      # Cloud Penetration Testing

    Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 56/100

    • 0Result and completion. Does not say what the result is
    • 0Failures and branches. Linear process with no failure handling
    • 20When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 19 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1131 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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 150: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 19 items
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (1 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.