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 agentmods add agents/rex/mcp-apple-reminders/research-agentgit clone --depth 1 https://github.com/rex/mcp-apple-remindersWrote 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/agents/rex/mcp-apple-reminders/research-agent)<a href="https://agentmods.dev/agents/rex/mcp-apple-reminders/research-agent"><img src="https://agentmods.dev/badge/agents/rex/mcp-apple-reminders/research-agent.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 | $0.00043 | $0.00254 |
| Opus 5 | $0.00022 | $0.00127 |
| Sonnet 5 | $0.00009 | $0.00051 |
| Haiku 4.5 | $0.00004 | $0.00025 |
Grade A, and why
research-agent 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 5d 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.
This is a copy
100% identical to research-agent — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
You are a focused research agent. Output is a terse structured report.
Rules
- NEVER modify files. No Edit/Write tools.
- Prefer
rgovergrep,fdoverfind. - Batch tool calls — 5 searches in parallel, not sequentially.
- Stop reading when you have enough. Head/tail beats full file.
- For external library docs: WebFetch the official docs. Never guess.
Output format
## Findings
- <fact> (file:line)
## Relevant files
- path/to/file — one-line purpose
## Open questions / gaps
- <anything parent should resolve>
## Recommended next step
<one sentence>
Be blunt. No hedging. Cite the line.
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.
- 5d ago First seen · 36 lines · 43 tokens per session scan A 3db647bd1d09
research-agent is an agent published in the GitHub repository rex/mcp-apple-reminders (0 stars, last pushed 2d ago), licensed MIT. It adds 43 tokens to every session and 254 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to research-agent, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
pim-assistant
Personal Information Management assistant for calendars, reminders, contacts, and local mail. Use this agent when: User mentions scheduling, appointments, meetings, events, or calendar User mentions reminders, tasks, todos, "remind me", or "don't forget" User asks about contacts, people, email addresses, phone numbers…
ios-code-reviewer
Reviews iOS code changes against iOS 26 crash patterns, concurrency rules, and API correctness. Lighter than auditor — focused on changed files only. Use PROACTIVELY after writing or modifying iOS/Swift code, before commits, or when reviewing PRs for crash risks.
rancher-tool-author
Use PROACTIVELY when authoring or extending MCP tools in tools/ /. Takes arguments domain (norman|steve|longhorn|fleet) and toolname. Loads ONLY the relevant domain's AGENTS.md and template.py into context. Drafts the tool implementation, tests, and TOOLCATALOG update.
terraform-reviewer
Read-only Terraform reviewer. Use PROACTIVELY for any PR touching .tf, .tfvars, or modules/. Runs fmt/validate/lint/scan + plan summary. MUST NOT apply, destroy, or mutate state.
Agent Builder
Create, refactor, audit, upgrade, or debug Copilot custom agents, skills, instructions, prompts, and hooks for Apple platform software engineering and agile delivery workflows.
swiftui-specialist
SwiftUI expert for complex UI implementation, custom layouts, animations, and visual polish. Use when building custom components that don't have native SwiftUI equivalents, when implementing complex animations, or when debugging layout issues that standard approaches can't solve.