review-checklist

review-checklist is a cursor rule for Cursor from stunt-double/stuntdouble-mcp. It costs 0 tokens per session (197 once invoked), scanned A, original, MIT.

A release checklist for checking user-experience changes with Stunt Double, a tool that tests user journeys using AI personas.

In plain words
What is it for?
Use it to run checks against staging and production, review feedback, confirm coverage for new journeys, and mark fixed issues as resolved.
Why use it?
It helps catch broken workflows and UX regressions before and after a change is released.

Cursor rule for Cursor

Written for Cursor: a Cursor rule (.mdc).

Good fit Use it to run checks against staging and production, review feedback, confirm coverage for new journeys, and mark fixed issues as resolved.

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/stunt-double/stuntdouble-mcp/review-checklist
Install

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.

Clone the repo
git clone --depth 1 https://github.com/stunt-double/stuntdouble-mcp

Made for: Cursor.

Wrote 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.

agentmods badge for review-checklist

README.md
[![agentmods](https://agentmods.dev/badge/rules/stunt-double/stuntdouble-mcp/review-checklist.svg)](https://agentmods.dev/rules/stunt-double/stuntdouble-mcp/review-checklist)
Your own site
<a href="https://agentmods.dev/rules/stunt-double/stuntdouble-mcp/review-checklist"><img src="https://agentmods.dev/badge/rules/stunt-double/stuntdouble-mcp/review-checklist.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 197 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00197
Opus 5 $0.00000 $0.00098
Sonnet 5 $0.00000 $0.00039
Haiku 4.5 $0.00000 $0.00020

Measured 8d ago against content hash 0bc52280016b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

review-checklist 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 8d 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.

rules/review-checklist.mdc · 24 lines

What it actually says

review-checklist:

Before merging:

  • Run relevant Stunt Double checklists against staging before merging UX changes.
  • Verify that existing workflows still pass after modifying user-facing flows.
  • Check Stunt Double feedback (list_feedback) for regressions related to the changed area.

Coverage:

  • Ensure new user journeys have corresponding workflows or checklist items for ongoing validation.
  • If a new user-facing feature is added, check that at least one actor persona covers the target user type.
  • If no actor exists for the affected user segment, recommend creating one via create_actor.

After merging:

  • Re-run affected workflows against the deployed environment to confirm the fix.
  • Update feedback status to "resolved" for any issues addressed by the change.
  • Review workflow run history (get_workflow, which returns recent_runs) to confirm no regressions.
Changes

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.

  1. 8d ago First seen · 24 lines · 0 tokens per session scan A 0bc52280016b

Subscribe to this mod's changes

review-checklist is a cursor rule published in the GitHub repository stunt-double/stuntdouble-mcp (1 stars, last pushed 23d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 197 tokens. 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.