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CF 🎛️ Mission Control Dashboard - AI Agent Management

Price: $299 USD

modbender/skill-library-mcp Agent Skills author: modbender MIT 8 files body ≈ 1 808 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Price: $299 USD

As a process F 25/100 · Will not run — References files that are not bundled: /home/ubuntu/clawd/clawhub-skills/mission-control/screenshots/dashboard.png, /home/ubuntu/clawd/clawhub-skills/mission-control/screenshots/department.png, /home/ubuntu/clawd/clawhub-skills/mission-control/screenshots/monitor.png

IntegrationCloudflareInfrastructureData and analyticsAI 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
C
67/100
safety, quality, tests
Safety 60%
87
Quality 40%
36
Run on models
none yet
Process rating
F
25/100
Will not run
References files that are not bundled: /home/ubuntu/clawd/clawhub-skills/mission-control/screenshots/dashboard.png, /home/ubuntu/clawd/clawhub-skills/mission-control/screenshots/department.png, /home/ubuntu/clawd/clawhub-skills/mission-control/screenshots/monitor.png
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 · 13

✓ No critical or high findings

Medium and low: 13
  • low Exfiltration exfil-webhook-url env-example.txt:12
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    TUNNEL_URL=https://your-tunnel.trycloudflare.com
    placeholder
  • low Secrets in code secret-high-entropy-token public/index.html:559
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    <div class="text-xs text…500">Wallet: <code class="bg-y…100 px-2 py-0.5 rounded">0x40…942</code></div>
    placeholder
  • low Exfiltration read-dotenv README.md:12
    Reads a .env file
    cp .env.example .env
  • low Exfiltration exfil-webhook-url README.md:66
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    TUNNEL_URL=https://your-tunnel.trycloudflare.com
    placeholder
  • low Dangerous commands cmd-cron-mention server.js:476
    Mentions editing / listing crontab (string literal in code, not executed)
    execAsync("crontab -l 2>/dev/null | grep -v '^#' | grep -v '^$' | head -5").catch(() => ({ stdout: '' })),
    code literal
  • low Dangerous commands cmd-pipe-to-shell server.js:619
    Downloads and executes remote code from an unrecognised host (pipe to shell) (detector / deny-list definition; string literal in code, not executed)
    { pattern: 'curl[^a-z].*\\|.*bash', risk: 'critical', name: 'curl|bash pattern' },
    detectorcode literal
  • low Dangerous commands cmd-pipe-to-shell server.js:620
    Downloads and executes remote code from an unrecognised host (pipe to shell) (detector / deny-list definition; string literal in code, not executed)
    { pattern: 'wget[^a-z].*\\|.*/bin/sh', risk: 'critical', name: 'wget|sh pattern' },
    detectorcode literal
  • low Secrets in code secret-high-entropy-token server.js:731
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    const script = `const {ethers}=require('ethers');const p=new ethers.JsonRpcProvider('https://mainnet.base.org');p.getBalance('0x40…942').then(b=>console.log(ethers.fo
    detector
  • low Secrets in code secret-high-entropy-token server.js:1033
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const w='0x40…942';
    quoted
  • low Secrets in code secret-high-entropy-token server.js:1034
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const USDC='0x3c…359';
    quoted
  • low Secrets in code secret-high-entropy-token server.js:1064
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const w='0x40…942';
    quoted
  • low Secrets in code secret-high-entropy-token server.js:1842
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const USDC = '0x27…174';
    quoted
  • low Exfiltration read-dotenv SKILL.md:92
    Reads a .env file
    cp .env.example .env

Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-short description under 40 chars: too little signal for triggering
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: /home/ubuntu/clawd/clawhub-skills/mission-control/screenshots/dashboard.png
  • warning missing-ref reference to a missing file: /home/ubuntu/clawd/clawhub-skills/mission-control/screenshots/department.png
  • warning missing-ref reference to a missing file: /home/ubuntu/clawd/clawhub-skills/mission-control/screenshots/monitor.png

Process rating: all ten parameters 25/100

Will not run. References files that are not bundled: /home/ubuntu/clawd/clawhub-skills/mission-control/screenshots/dashboard.png, /home/ubuntu/clawd/clawhub-skills/mission-control/screenshots/department.png, /home/ubuntu/clawd/clawhub-skills/mission-control/screenshots/monitor.png
  • 0Tools and files. 3 referenced file(s) missing: /home/ubuntu/clawd/clawhub-skills/mission-control/screenshots/dashboard.png, /home/ubuntu/clawd/clawhub-skills/mission-control/screenshots/department.png, /home/ubuntu/clawd/clawhub-skills/mission-control/screenshots/monitor.png
  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 30Running it twice. 6 mutating operations with no state check
  • 40Consistency. Frontmatter name (🎛️ Mission Control Dashboard - AI Agent Management) differs from the folder (mission-control-dashboard)
  • 85Steps. 57 steps, 1 vague phrases
  • 100Execution cost. Instruction body is 1808 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 15 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)
  • +3Description length 15: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -2localhost URLs: will not work for another user
  • -224 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 37 headings
  • +3Step-by-step instructions: 57 items
  • +4Has examples (14 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 36.