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BC ai-persona-os

The complete operating system for OpenClaw agents. Now with 13 Iconic Character souls (Thanos, Deadpool, JARVIS, Mary Poppins, Darth Vader, and more), SOUL.md Maker (deep SOUL.md builder interview), 11 original personality souls, soul blending, and the full soul gallery. Plus: zero-terminal agent-driven setup, quick-start persona presets, in-chat commands, ambient context monitoring, enforced heartbeat protocol (model + version display), traffic-light status indicators, auto-migration, auto-pruning, config validator, version tracking, structured escalation protocol, context protection, security inoculation, shared-channel discipline, team integration, proactive patterns, never-forget protocol, 8 operating rules, and 4 growth loops. One install. Complete system. Built by Jeff J Hunter.

modbender/skill-library-mcp Agent Skills author: modbender MIT 65 files · 4 scripts body ≈ 12 931 tokens Open the sourcegithub.com↗ analyzed 2 d ago

The complete operating system for OpenClaw agents.

As a process C 58/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, execution cost

PersonaAI 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
82/100
safety, quality, tests
Safety 60%
94
Quality 40%
63
Run on models
none yet
Process rating
C
58/100
Has gaps
Inputs and preconditions w 11
0
When it triggers w 12
20
Execution cost w 6
40
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. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Broad scope meta-agent-memory-dump examples/coding-assistant/HEARTBEAT.md
    Agent memory / workspace files bundled with the skill (6) — likely a workspace dump with personal data or tokens
    examples/coding-assistant/HEARTBEAT.md, examples/coding-assistant/SOUL.md, examples/executive-assistant/HEARTBEAT.md, examples/executive-assistant/SOUL.md, examples/marketing-assistant/HEARTBEAT.md
  • low Risky intent intent-offensive-security examples/prebuilt-souls/01-contrarian-strategist.md:60
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (test fixture / example file)
    **Red Team Mode:** If [HUMAN] says "red team this" — go full adversarial. Find every way this plan fails. No mercy, no softening. This is a feature, not a bug.
    fixture

Files scanned: 65. 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")
  • warning body-long SKILL.md body ≈ 12931 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 58/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 40Execution cost. Instruction body is 12931 tokens: crowds the task out of the window
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70Failures and branches. 10 branches
  • 85Steps. 75 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 30 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)
  • -241 emoji in the instructions: noise for the model
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 795: enough signal without eating the budget
  • +4Structure: 63 headings
  • +3Step-by-step instructions: 75 items
  • +3Output format is stated explicitly
  • +4Has examples (36 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.