Borrowing it
Nothing to install: this file belongs to QuantGeekDev/google-calendar-mcp-app. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/QuantGeekDev/google-calendar-mcp-app/main/.claude/skills/gcal-api-research/SKILL.mdgit clone --depth 1 https://github.com/QuantGeekDev/google-calendar-mcp-appWrote 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/quantgeekdev/google-calendar-mcp-app/gcal-api-research)<a href="https://agentmods.dev/skills/quantgeekdev/google-calendar-mcp-app/gcal-api-research"><img src="https://agentmods.dev/badge/skills/quantgeekdev/google-calendar-mcp-app/gcal-api-research.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 | $0.00082 | $0.02928 |
| Opus 5 | $0.00041 | $0.01464 |
| Sonnet 5 | $0.00016 | $0.00586 |
| Haiku 4.5 | $0.00008 | $0.00293 |
Grade A, and why
gcal-api-research 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.
This is a copy
100% identical to gcal-api-research — 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.
How it starts
The opening of the file, as written. The whole thing — 343 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Calendar API Research
Quick Start
What are you doing?
- 📝 Reviewing a PR → Read
references/research-checklist.mdfirst - 🚀 Planning a feature → Start with Step 1 below, then consult relevant references
- 🐛 Investigating an issue → Check
references/edge-cases.mdfor known pitfalls - ✅ Validating an approach → Read
references/api-patterns.mdfor best practices
Then follow the detailed workflow below.
Overview
This skill provides a structured approach to researching Google Calendar API implementations, identifying best practices, and uncovering potential edge cases. Use this skill to ensure implementations leverage Google Calendar APIs appropriately with good defaults while supporting complex use cases.
When to Use This Skill
Use this skill when:
- Reviewing PRs that add new Google Calendar functionality (e.g., "feat: add respond-to-event tool")
- Planning new features before implementation begins
- Investigating issues with existing Google Calendar integrations
- Validating implementation approaches against Google Calendar API best practices
- Researching edge cases for specific calendar operations
This skill is particularly valuable for features involving:
- Recurring event handling
- Timezone conversions
- Batch operations across multiple calendars
- Event conflict detection
- Attendee management
- Conference data integration
Research Workflow
Step 1: Understand the Feature
First, identify what the implementation does or plans to do:
- For PR Reviews: Read the PR description and examine the code changes
- For Feature Planning: Clarify the requirements and desired functionality
- For Issues: Understand the reported problem and expected behavior
Key Questions:
- What Google Calendar API operations are involved?
- What user scenarios does this support?
- What are the critical requirements (performance, reliability, edge cases)?
Step 2: Consult Reference Materials
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 343 lines · 82 tokens per session scan A 3d42c4f958b4
gcal-api-research is a skill published in the GitHub repository QuantGeekDev/google-calendar-mcp-app (3 stars, last pushed 5mo ago), licensed MIT. It adds 82 tokens to every session and 2,928 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to gcal-api-research, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
agui-dotnet-protobuf
Use the protobuf wire transport (instead of the default Server-Sent Events) for an AG-UI connection with the AG-UI .NET SDK — a compact binary event stream negotiated via the Accept header. USE FOR: making an AGUIChatClient prefer protobuf by wiring an AGUIEventStreamHandler with ProtobufEventStreamFormatter (then…
azure-mgmt-botservice-dotnet
Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".
fastapi-router-py
Create FastAPI routers with CRUD operations, authentication dependencies, and proper response models. Use when building REST API endpoints, creating new routes, implementing CRUD operations, or adding authenticated endpoints in FastAPI applications.
migrate-segw-to-rap
Reverse-engineer a SEGW-built OData V2 service (MPC/DPC/MPCEXT/DPCEXT) into a modern RAP V4 service — tables, CDS views (interface + projection), behavior definitions, draft entities, service definition + binding. Use when asked to "migrate this SEGW service to RAP", "convert OData V2 to V4 RAP", "modernize this…
telnyx-messaging-hosted-curl
Set up hosted SMS numbers, toll-free verification, and RCS messaging. Use when migrating numbers or enabling rich messaging features. This skill provides REST API (curl) examples.