SKILLEMALL.ai
GitHub ↗ RU Sign in

AB personwise-interactive-product-explainer

Create a source-grounded interactive digital-human SaaS or software product explainer that website visitors can question and embed through PersonWise. Use for a product launch, SaaS website explainer, product demo alternative, website product tour, or product-page refresh when verified product materials are available; do not use for machine-learning model explainability or codebase explanation. With explicit approval, this Skill may install or update the official PersonWise CLI and uses browser OAuth. Other course-creation requests are handled only when the user explicitly asks for them with this Skill.

ClawHub Agent Skills author: PersonWise v2.1.9 MIT-0 8 files · 2 scripts body ≈ 1 512 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Create a source-grounded interactive digital-human SaaS or software product explainer that website visitors can question and embed through PersonWise.

As a process B 66/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorLearningtype 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
A
90/100
safety, quality, tests
Safety 60%
92
Quality 40%
88
Run on models
none yet
Process rating
B
66/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • medium Broad scope meta-broad-allowed-tools SKILL.md:1
      Broad tool permissions pre-approved: Bash
      allowed-tools: Bash
    • low Obfuscation obf-base64-blob assets/service-descriptor.signed.json:3
      Long base64-looking blob (quoted — discussed, not commanded)
      "payload": "ewog…i8v
      quoted
    • low Obfuscation obf-base64-blob assets/service-descriptor.signed.json:8
      Long base64-looking blob (detector / deny-list definition)
      "value": "untrusted comment: signature from PersonWise CLI offline release root\nRWQ…77A+MVPd…gAI=\ntrusted comment:
      detector
    • low Secrets in code secret-high-entropy-token assets/service-descriptor.signed.json:8
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "value": "untrusted comment: signature from PersonWise CLI offline release root\nRWQ…77A+MVPd…gAI=\ntrusted comment:
      quoted

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

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "permissions"

    Process rating: all ten parameters 66/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 4 mutating operations with no state check
    • 55Failures and branches. 1 branches
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 15 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1512 tokens

    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
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 610: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 15 items
    • +4Reference files are cited in the instructions (2 of 2)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This skill is a coherent PersonWise product-explainer workflow with disclosed CLI install, OAuth, source upload, and private-by-default publishing behavior.
    LLM: benign (high) · VirusTotal: · 6 Aug 2026