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BC omniwire

Infrastructure layer for AI agent swarms — 88 MCP tools for mesh control, A2A protocol, OmniMesh VPN, CyberSync, web scraping, firewall management, browser automation, and more. ~80ms execution.

ClawHub Agent Skills author: VoidChecksum v3.5.0 MIT-0 2 files body ≈ 5 967 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 60/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureInfrastructureAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
95
Quality 40%
74
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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:108
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (quoted — discussed, not commanded)
    "tags": ["kali", "pentest"]
    quoted
  • low Risky intent intent-offensive-security SKILL.md:162
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    You: copy the pentest report from kali to contabo
  • low Risky intent intent-offensive-security SKILL.md:225
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    You: send a task to the pentest agent on kali
  • low Risky intent intent-offensive-security SKILL.md:227
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    Agent: [omniwire_agent_task node=kali agent_id=pentest-agent task={type:"scan", target:"192.168.1.0/24"}]
  • low Risky intent intent-offensive-security SKILL.md:553
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - Security/pentest tools → node with tag `"kali"` or `"pentest"`

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5967 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 60/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 20 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, write, node) that frontmatter does not declare
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 5967 tokens
  • 100Steps. 36 steps
  • 100Failures and branches. 6 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 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
  • +2Single-language instructions
  • +3Description length 194: enough signal without eating the budget
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 36 items
  • +4Has examples (14 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: suspicious
OmniWire appears purpose-built for mesh infrastructure administration, but it gives agents very broad server, credential, browser-session, sync, and persistence authority without enough scoping or approval guardrails.
LLM: suspicious (high) · VirusTotal: · 29 May 2026