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 skills/imoonkey/openweb/opentablenpx skills add imoonkey/openweb --skill opentablegit clone --depth 1 https://github.com/imoonkey/openwebWhat 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 | $0.00000 | $0.00509 |
| Opus 5 | $0.00000 | $0.00254 |
| Sonnet 5 | $0.00000 | $0.00102 |
| Haiku 4.5 | $0.00000 | $0.00051 |
Grade A, and why
opentable 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 2d 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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenTable
Overview
Restaurant reservation platform — search restaurants, view details and reviews, check reservation availability. Commerce archetype.
Workflows
Find and book a restaurant
searchRestaurants(term, location)→restaurantId,sluggetRestaurant(slug)→ full details (hours, cuisine, ratings, address)getAvailability(restaurantId, date, time, partySize)→ availableslotswithtimeOffsetMinutes
Read restaurant reviews
searchRestaurants(term, location)→restaurantIdgetReviews(restaurantId, page)→ paginated reviews (10/page)
Search with availability
searchRestaurants(term, location, date, time, covers)→restaurantIdgetAvailability(restaurantId, date, time, partySize)→slotswithtimeOffsetMinutes,seatingTypes
Operations
| Operation | Intent | Key Input | Key Output | Notes |
|---|---|---|---|---|
| searchRestaurants | find restaurants | term, location | restaurantId, name, slug, cuisine, rating, neighborhood | entry point; adapter (browser) |
| getRestaurant | restaurant details | slug ← searchRestaurants | name, cuisine, ratings, hours, address, description, photos | adapter (browser) |
| getAvailability | check time slots | restaurantId ← searchRestaurants, date, time, partySize | slots with timeOffsetMinutes, seatingTypes | GraphQL via page |
| getReviews | customer reviews | restaurantId ← searchRestaurants, page | reviewId, rating, text, displayName, dinedDate | paginated (10/page); GraphQL via page |
Quick Start
# Search for Italian restaurants in San Francisco
openweb opentable exec searchRestaurants '{"term": "italian", "location": "San Francisco"}'
# Get restaurant details
openweb opentable exec getRestaurant '{"slug": "ceron-kitchen-alameda"}'
# Check availability for 2 people
openweb opentable exec getAvailability '{"restaurantId": 1204381, "date": "2027-01-15", "time": "19:00", "partySize": 2}'
# Read reviews (page 1, newest first)
openweb opentable exec getReviews '{"restaurantId": 1204381, "page": 1}'
What ships with it
9 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.
- 2d ago First seen · 45 lines · 0 tokens per session scan A 01dfbfdb5487
opentable is a skill published in the GitHub repository imoonkey/openweb (56 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 509 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
babysit-pr
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…