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.
git clone --depth 1 https://github.com/FlightSeatmap/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/commands/flightseatmap/mcp/best-seats)<a href="https://agentmods.dev/commands/flightseatmap/mcp/best-seats"><img src="https://agentmods.dev/badge/commands/flightseatmap/mcp/best-seats/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/commands/flightseatmap/mcp/best-seats"><img src="https://agentmods.dev/badge/commands/flightseatmap/mcp/best-seats.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 | $0.00010 | $0.00307 |
| Opus 5 | $0.00005 | $0.00153 |
| Sonnet 5 | $0.00002 | $0.00061 |
| Haiku 4.5 | $0.00001 | $0.00031 |
Grade A, and why
best-seats 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.
What it actually says
Find Best Seats
The user wants to find the best available seats on a flight.
Arguments
The user invoked this command with: $ARGUMENTS
Parse the arguments to extract:
- Flight number: Airline code + number (e.g. QF1, BA178)
- Preferences: Any of: window, aisle, extra_legroom, exit_row, quiet_zone, front, rear, bulkhead
- Cabin class: Optional: economy, premium_economy, business, first
If no preferences given, ask what matters to them.
Process
- Use
find_best_seatswith the flight number and parsed preferences. - Present the top 5 seats in a table: Seat | Cabin | Features | Match Score | Price
- Offer to show details on any seat with
get_seat_info. - Include the interactive seatmap link.
Examples
/fsm:best-seats QF1 window extra_legroom
/fsm:best-seats BA178 aisle front business
/fsm:best-seats AA716 exit_row quiet_zone economy
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 · 39 lines · 10 tokens per session scan A d1e9a0ddd2ef
best-seats is a command published in the GitHub repository FlightSeatmap/mcp (0 stars, last pushed 6d ago), licensed MIT. It adds 10 tokens to every session and 307 once invoked, about $0.0001 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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