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CC brand-persona-skill

Distill any commercial entity into a personalized brand agent — a living brand persona with authentic voice, declared service capabilities, and a standard service contract. Supports both distillation from existing brand content and declaration from scratch. Use when a business, brand, studio, or institution wants to create their own AI agent to serve customers.

ClawHub Agent Skills author: neil v0.1.0 MIT-0 6 files body ≈ 4 268 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 62/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

PersonaMarketingtype 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
72/100
safety, quality, tests
Safety 60%
91
Quality 40%
44
Run on models
none yet
Process rating
C
62/100
Has gaps
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

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

    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
    • medium Broad scope meta-broad-allowed-tools SKILL.md:1
      Broad tool permissions pre-approved: Bash
      allowed-tools: Read Write Bash WebSearch
    • low Secrets in code secret-high-entropy-token references/SERVICE-CONTRACT.template.md:32
      High-entropy token-like string (may be an id, hash or a credential)
      | {{info…pic}} | {{info…ion}} | {{info…ion}} |
    • low Secrets in code secret-high-entropy-token references/SERVICE-CONTRACT.template.md:33
      High-entropy token-like string (may be an id, hash or a credential)
      | {{info…pic}} | {{info…ion}} | {{info…ion}} |
    • low Secrets in code secret-high-entropy-token references/SERVICE-CONTRACT.template.md:45
      High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
      | {{acti…ame}} | {{yes/no}}            | {{acti…ion}} | {{acti…tes}} |
      placeholder
    • low Secrets in code secret-high-entropy-token references/SERVICE-CONTRACT.template.md:46
      High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
      | {{acti…ame}} | {{yes/no}}            | {{acti…ion}} | {{acti…tes}} |
      placeholder

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

    Against the Agent Skills spec

    • error name-missing SKILL.md: frontmatter has no `name`
    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Implicit map keys need to be followed by map values at line 14, column 1: **brand-persona-skill** is an orchestration skill for turning any commercial en… ^^^^^^^^^^^^^^^^^^^^^^^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 62/100

    • 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
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 10 mutating operations with no state check
    • 70Execution cost. Instruction body is 4268 tokens
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 41 steps
    • 100Failures and branches. 9 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 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
    • -5TODO / placeholder text left in the skill
    • +2Single-language instructions
    • +3Description length 363: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 41 items
    • +4Has examples (6 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 44.

    External checks

    ClawHub: suspicious
    The skill is a coherent brand-agent generator, but it gives generated agents broad shell, file, and network authority by default without enough per-brand scoping.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026