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 ginomoretta-creator/gmat-mcp-server --skill gmat-mission-designgit clone --depth 1 https://github.com/ginomoretta-creator/gmat-mcp-serverWrote 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/ginomoretta-creator/gmat-mcp-server/gmat-mission-design)<a href="https://agentmods.dev/skills/ginomoretta-creator/gmat-mcp-server/gmat-mission-design"><img src="https://agentmods.dev/badge/skills/ginomoretta-creator/gmat-mcp-server/gmat-mission-design/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/ginomoretta-creator/gmat-mcp-server/gmat-mission-design"><img src="https://agentmods.dev/badge/skills/ginomoretta-creator/gmat-mcp-server/gmat-mission-design.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 | $0.00126 | $0.01359 |
| Opus 5 | $0.00063 | $0.00679 |
| Sonnet 5 | $0.00025 | $0.00272 |
| Haiku 4.5 | $0.00013 | $0.00136 |
Grade A, and why
gmat-mission-design 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 12d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GMAT mission design
You have a real astrodynamics simulator in the loop. The core discipline: never cite an orbital-mechanics number you computed in your head — cite numbers from a GMAT report. Your analytic estimates are the acceptance test for the simulation, not the deliverable.
The loop
-
Read the idioms first. Call
getGmatIdiomsbefore writing any script. It is a curated list of gotchas that each cost a failed run to discover (cumulative ElapsedSecs, ASCII-only scripts, conditional syntax limits, finite-burn multi-spacecraft rules...). Skipping this step reliably costs more calls than it saves. -
Seed from a sample when one matches.
listGmatSamples/getGmatSamplegive you NASA's known-good scripts (lunar transfer, Mars B-plane, electric propulsion, finite-burn targeting, station-keeping...). Adapt rather than invent for anything beyond basic LEO work. When adapting for headless runs: stripOrbitView/XYPlotsubscribers, keep the force models and targeter structure, add aReportFile. -
Write down analytic expectations before running. Vis-viva, Hohmann ΔVs, phasing-orbit periods, plane-change costs, drag ballpark from scale heights. Two reasons: they seed your
Varyinitial guesses and bounds, and they are how you'll know the run is right and not merely converged. -
Write the script. Pure ASCII (no accented characters, not even in comments). One statement per line. Create a
ReportFilewithWriteHeaders = falseandReportevery number you intend to cite. Output lands in GMAT'soutput/dir and comes back in thereportsfield of the result. -
Run with
runGmatand branch onstage:parse— syntax/object error; the message names the line. Re-check against the idioms.convergence— if a Vary variable is pinned at a bound with large constant variance, the design is infeasible (rethink goals/bounds); otherwise widen bounds, loosen tolerance past physical oscillations, or pick a less degenerate goal.run— propagation/stop-condition failure. Classic causes: stop on an apsis of a (near-)circular orbit, stop condition already satisfied (cumulative ElapsedSecs).- timeout — raise
timeoutSeconly when the propagation is genuinely long (multi-day low-thrust spirals); otherwise suspect an infinite loop and checkraw_tailto see where it hung.
What ships with it
1 file 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.
- 12d ago First seen · 83 lines · 126 tokens per session scan A c74aea3b7cff
gmat-mission-design is a skill published in the GitHub repository ginomoretta-creator/gmat-mcp-server (2 stars, last pushed 3mo ago), licensed ISC. It adds 126 tokens to every session and 1,359 once invoked, about $0.0006 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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