SKILLEMALL.ai

AF vmware-policy

Unified audit logging, policy enforcement, and input sanitization for the entire VMware MCP skill family. Use when querying audit logs, managing policy rules, or when any VMware skill needs audit/policy infrastructure. Provides the @vmware_tool decorator that most skills in the family wrap their MCP tools in. Use when user asks to "show audit log", "check denied operations", "view policy rules", "audit stats", or "query audit trail". For VM lifecycle use vmware-aiops, for monitoring use vmware-monitor, for networking use vmware-nsx, for load balancing use vmware-avi.

ClawHub Agent Skills author: wei zhou v1.13.1 MIT-0 6 files body ≈ 3 391 tokens Open the sourceclawhub.ai analyzed 23 h ago

Unified audit logging, policy enforcement, and input sanitization for the entire VMware MCP skill family.

As a process F 43/100 · Will not run — References files that are not bundled: ../vmware-pilot/SKILL.md

AnalyzerGitHubSecurityAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
95
Quality 40%
86
Run on models
none yet
Process rating
F
43/100
Will not run
References files that are not bundled: ../vmware-pilot/SKILL.md
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
20
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.

Broad scope 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 asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Bash

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../vmware-pilot/SKILL.md
  • note frontmatter-key unknown frontmatter key "installer"

Process rating: all ten parameters 43/100

Will not run. References files that are not bundled: ../vmware-pilot/SKILL.md
  • 0Tools and files. 1 referenced file(s) missing: ../vmware-pilot/SKILL.md
  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 30Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 4 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 30 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3391 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 14 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

  • +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
  • +5Description quotes 5 example trigger phrases
  • +3Description length 573: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 30 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (2 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

External checks

ClawHub: clean
The skill is a disclosed VMware audit and policy helper, with local sensitive logging and optional policy controls that users should configure carefully.
LLM: benign (medium) · VirusTotal: · 12 Sept 2026