Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add stunt-double/stuntdouble-mcp --skill create-actor-panelgit clone --depth 1 https://github.com/stunt-double/stuntdouble-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/stunt-double/stuntdouble-mcp/create-actor-panel)<a href="https://agentmods.dev/skills/stunt-double/stuntdouble-mcp/create-actor-panel"><img src="https://agentmods.dev/badge/skills/stunt-double/stuntdouble-mcp/create-actor-panel.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00025 | $0.00883 |
| Opus 5 | $0.00013 | $0.00441 |
| Sonnet 5 | $0.00005 | $0.00177 |
| Haiku 4.5 | $0.00003 | $0.00088 |
Grade A, and why
create-actor-panel scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create actor panel
When to use
- When setting up a new user persona for journey testing
- When you need an actor representing a specific user segment (enterprise admin, first-time user, accessibility user, etc.)
- When expanding test coverage to include underrepresented user types
- When a design review or feedback triage reveals a missing persona
Instructions
-
Identify the workspace:
list_workspaces()→ find the target workspace
-
Check existing actors to avoid duplicates:
list_actors(workspace_id)→ review current personas
-
Create the actor:
create_actor(workspace_id, name, description)→ create with a clear, human name and description- Name format: "FirstName - Role/Trait" (e.g., "Emma - First-time SaaS user")
- Description should capture goals, frustrations, and technical comfort level
-
Configure the actor's identity:
update_actor(actor_id, system_prompt, capabilities)→ set the system prompt that defines how this persona behaves, thinks, and reacts- System prompt should include: background, goals, pain points, technical skill level, and communication style
-
Add knowledge entries:
add_actor_knowledge(actor_id, title, content)→ give the actor context about your product- Common knowledge: product docs, feature guides, pricing pages, FAQ content
- Persona-specific knowledge: their company context, past experience, specific needs
-
Verify the setup:
get_actor(actor_id)→ confirm system prompt and capabilitieslist_actor_knowledge(actor_id)→ confirm knowledge entries- Exercise one actor for real before relying on the panel: a small
create_checklistplusrun_checklistagainst the product shows whether the persona behaves as written
Example actor configurations
First-time user
Name: "Emma - First-time SaaS user"
Description: "Non-technical user trying a project management tool for the first time.
Works at a small marketing agency. Comfortable with email and spreadsheets but
hasn't used specialized SaaS tools before."
System prompt: "You are Emma, a 28-year-old marketing coordinator at a 10-person agency.
You've been asked by your boss to find a project management tool. You're not very
technical — you mainly use Google Sheets and email. You get frustrated by jargon
and prefer clear, simple interfaces. You'll abandon a flow if it takes more than
a few minutes without showing value."
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 89 lines · 25 tokens per session scan A 7b40a1268392
create-actor-panel is a skill published in the GitHub repository stunt-double/stuntdouble-mcp (1 stars, last pushed 23d ago), licensed MIT. It adds 25 tokens to every session and 883 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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