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 chrischall/opentable-mcp --skill opentable-fpxgit clone --depth 1 https://github.com/chrischall/opentable-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/chrischall/opentable-mcp/opentable-fpx)<a href="https://agentmods.dev/skills/chrischall/opentable-mcp/opentable-fpx"><img src="https://agentmods.dev/badge/skills/chrischall/opentable-mcp/opentable-fpx/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/chrischall/opentable-mcp/opentable-fpx"><img src="https://agentmods.dev/badge/skills/chrischall/opentable-mcp/opentable-fpx.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 | $0.00105 | $0.01318 |
| Opus 5 | $0.00053 | $0.00659 |
| Sonnet 5 | $0.00021 | $0.00264 |
| Haiku 4.5 | $0.00011 | $0.00132 |
Grade A, and why
opentable-fpx 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenTable via fpx (no MCP)
OpenTable fronts www.opentable.com with Akamai bot protection, and every
booking/cancel action rides the user's own signed-in session (their
loyalty account, saved cards) — there's no API key and no server-side
login. fpx routes requests through the user's own signed-in browser tab
(the Transporter extension), which already carries a cleared session, so
the same requests the opentable.com web app makes succeed.
This is the same data/actions the opentable_* MCP tools expose, reached
with one-shot CLI calls instead of a running server. Every body/header/hash
below is transcribed verbatim from opentable-mcp's src/client.ts and
src/tools/*.ts — not guessed.
One-time setup
npm install -g @fetchproxy/cli # provides `fpx`
fpx profile add opentable --domain opentable.com
fpx pair -p opentable # prints a pair code → approve in Transporter
Requirements: the Transporter browser extension installed, an open
www.opentable.com tab signed in, and its Chrome Site access
allowing opentable.com. Pairing persists — after the first approval every
later fpx call reuses it.
Core call pattern
Two response families:
- SSR HTML (
/s,/r/{slug},/user/dining-dashboard,/user/favorites,/booking/details) embeds the page's data as awindow.__INITIAL_STATE__ = {...}(or"__INITIAL_STATE__":{...}) JSON blob inside the HTML — extract it withreferences/extract-initial-state.mjsbeforejq. /dapi/...JSON/GraphQL returns plain JSON on stdout — pipe straight tojq.
fpx get 'https://www.opentable.com/r/state-of-confusion-charlotte' -p opentable \
| node references/extract-initial-state.mjs \
| jq '.restaurantProfile.restaurant | {id: .restaurantId, name, bookable: (.type != "Listing")}'
Most GraphQL calls here are Apollo persisted queries — you send an
operation name + a pre-registered sha256Hash, never GraphQL text. Write
the body to a file first (a heredoc avoids shell-quoting the nested JSON),
then fpx post-json <url> @file -p opentable.
What ships with it
2 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.
- 10d ago First seen · 114 lines · 105 tokens per session scan A db15007617af
opentable-fpx is a skill published in the GitHub repository chrischall/opentable-mcp (0 stars, last pushed today), licensed MIT. It adds 105 tokens to every session and 1,318 once invoked, about $0.0005 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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