SKILLEMALL.ai

AB rubicon

Rubicon Sentinel v2 is the no-cope geopolitical sovereignty scanner for OpenClaw. Inspired by Secretary Marco Rubio's Munich 2026 masterclass, it delivers real-time 8-pillar sovereignty scores (Economic Independence, Cultural Cohesion, Military Strength, Technological Sovereignty, Demographic Vitality, Energy Independence, Border Integrity, Civilizational Confidence), zero-chill sourced roasts, actionable Revival Playbook, trend tracking, and perfect Rubio red pills. Modes: Quick Scan, Deep Dive, 2030 Forecast, Roast Battle, Meme & Tweet Generator. Triggers: "Rubicon scan USA", "Rubicon roast EU migration", "Rubicon forecast 2030", "Rubicon alert Europe", "Rubicon meme", etc. Persistent memory + Grok Imagine-ready visuals. Built for users who want truth over comfort. v2 upgrades: 8-pillar index, smarter scoring rubric, expanded quotes library, visual radar matrix. Requires: web_search + web_fetch (image gen optional but 🔥). Crossed the Rubicon. No going back.

modbender/skill-library-mcp Agent Skills author: modbender MIT 4 files body ≈ 1 817 tokens Open the sourcegithub.com analyzed 2 d ago

Rubicon Sentinel v2 is the no-cope geopolitical sovereignty scanner for OpenClaw.

As a process B 69/100 · Nearly there — weak spots: result and completion, when it triggers, progress reporting

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
B
69/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
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.
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 · 0

✓ No critical or high findings

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 69/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 54 steps, 1 vague phrases
  • 100Tools and files. No external tools needed
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1817 tokens
  • 100Running it twice. No mutating operations
  • low 13 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)
  • +3Description length 974: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -214 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 54 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.