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 check-brandgit 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/check-brand)<a href="https://agentmods.dev/skills/stunt-double/stuntdouble-mcp/check-brand"><img src="https://agentmods.dev/badge/skills/stunt-double/stuntdouble-mcp/check-brand/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/stunt-double/stuntdouble-mcp/check-brand"><img src="https://agentmods.dev/badge/skills/stunt-double/stuntdouble-mcp/check-brand.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00047 | $0.00824 |
| Opus 5 | $0.00023 | $0.00412 |
| Sonnet 5 | $0.00009 | $0.00165 |
| Haiku 4.5 | $0.00005 | $0.00082 |
Grade A, and why
check-brand 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 10d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Check brand
When to use
- You have brand and tone-of-voice guidelines and want to know where the live product breaks them
- Copy has drifted as pages shipped independently and you want a consistent voice again
- You want brand adherence enforced continuously, not audited once
Instructions
-
Resolve context:
list_workspaces()→ pick the workspacelist_projects(workspace_id)→ match the URL to a project, or letcreate_checklistfind/create it
-
Set up a brand-guardian actor and record the rules:
list_actors(workspace_id), elsecreate_actor(...)described as a meticulous brand and copy reviewerlist_workspace_guidelines(workspace_id)— the standard may already be written down; attach it withset_project_guideline(project_id, guideline_id)rather than typing a second copy- Otherwise
add_project_guideline(project_id, category: "tone_of_voice" | "brand", content, title), one rule per guideline so a finding can name the rule it breaks. Guidelines are workspace-owned and reach every checklist run, design review, interview and triage for the project - Use
add_actor_knowledge(actor_id, ...)for what only this reviewer needs to remember, not for the standard itself - If no guidelines were supplied, ask for them, or draft a short rule set from the strongest existing pages and confirm it before auditing
-
Create a checklist per surface in scope:
create_checklist(...)for each page or flow (default scope: homepage, one core product flow, one high-traffic marketing page)- Phrase each check as an observable assertion a reader could verify on the rendered page:
- "Headlines use sentence case"
- "Copy addresses the reader as you, never the user"
- "Error messages state what happened and offer a next step"
- "No unexplained jargon on pricing"
- 4–8 checks per checklist
-
Run and collect evidence:
run_checklist(checklist_id)→ pollget_checklist_run(run_id)until terminal; read the evidence per check
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.
- 10d ago First seen · 69 lines · 47 tokens per session scan A 732d6449087c
check-brand is a skill published in the GitHub repository stunt-double/stuntdouble-mcp (1 stars, last pushed 25d ago), licensed MIT. It adds 47 tokens to every session and 824 once invoked, about $0.0002 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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