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 spedas/spedas_agent_kit --skill dual-spacecraft-timinggit clone --depth 1 https://github.com/spedas/spedas_agent_kitWrote 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/spedas/spedas_agent_kit/dual-spacecraft-timing)<a href="https://agentmods.dev/skills/spedas/spedas_agent_kit/dual-spacecraft-timing"><img src="https://agentmods.dev/badge/skills/spedas/spedas_agent_kit/dual-spacecraft-timing/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/spedas/spedas_agent_kit/dual-spacecraft-timing"><img src="https://agentmods.dev/badge/skills/spedas/spedas_agent_kit/dual-spacecraft-timing.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 | $0.00113 | $0.02051 |
| Opus 5 | $0.00056 | $0.01026 |
| Sonnet 5 | $0.00023 | $0.00410 |
| Haiku 4.5 | $0.00011 | $0.00205 |
Grade A, and why
dual-spacecraft-timing 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 9d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-spacecraft timing (CVA): boundary normal and phase speed
A guided version of the classic four-spacecraft timing / Constant-Velocity-Approach (CVA) crib sheet. Given the same boundary crossing observed at several spacecraft and their positions, it recovers the boundary normal n (unit vector) and the phase speed V along n. There is no "timing" backend tool and there should not be — the only data fetch is each spacecraft's position; the solve is a tiny local NumPy least-squares. The value is in the procedure, the geometry/conditioning check, and the interpretation.
When to use
- "I see this magnetopause/shock/discontinuity crossing at 4 spacecraft — what's the normal and speed?"
- "Use timing on the MMS/Cluster tetrahedron for this crossing."
- "How fast and in what direction is this boundary moving?" (single-spacecraft MVA gives orientation only, not speed — timing gives both.)
Tool chain (existing tools only)
create_spedas_analysis_bundle → get_ephemeris × N spacecraft (positions only)
→ local NumPy numpy.linalg.lstsq (no tool; run via the Bash python interpreter,
writing inputs/outputs into the bundle) → optional render_tplot only if you want to
overlay the per-spacecraft field traces that justify the crossing times.
Backend (VERIFIED contract)
get_ephemeris(target, time, observer, frame)withtimeonly returns a single-time STATE INLINE — a dict/array of position (and velocity) in the requestedframe, in km. It is not a stored tplot variable and not an.npz. Read the returned position straight out of the response dict; do not look for a file unless you passedoutput_file.- Default
frame="ECLIPJ2000",observer="SUN". For magnetospheric boundaries you almost always wantframe="GSE"(or GSM) andobserver="EARTH". Pass them explicitly — the default Sun-centered ecliptic frame is wrong for a magnetopause and will silently give a nonsense normal. - Target registry is enforced.
get_ephemerisvalidatestargetagainst the SPICE mission registry and returns a structuredunsupported_spice_targeterror for names it does not know (e.g.MMS1is NOT in the registry). THEMIS A–E, Cluster-class, Van Allen Probes A/B and the heliophysics fleet are supported; for MMS-style fleets not in SPICE you must supply the per-spacecraft positions yourself (from the mission ephemeris CDF / user-provided km vectors) and skip straight to the solve. - Kernels: a cold cache returns
needs_confirmation/kernel_download_required; first checkmanage_data_cache(source_type="spice", action="status"), then retry the relevantget_ephemeris(...)call withallow_kernel_download=Trueafter confirming the download. Do not route this skill through hidden source-specific kernel tools. - The crossing times are NOT produced by any tool — they are identified by the user (or read off per-spacecraft field traces) as the moment each spacecraft sees the boundary.
- Timestamps for the solve are numeric Unix seconds. Convert each crossing time to a float epoch (seconds) before differencing; do not feed ISO strings into the arithmetic. (No FFT/spectral step here, but the same numeric-epoch rule applies.)
render_tplotis optional and out-of-band: it draws ONE 2-D matrix per.npz— used here, if at all, only to display the field traces that anchor the crossing times, never for the timing result itself.
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.
- 9d ago First seen · 72 lines · 113 tokens per session scan A 75a75ff27e33
dual-spacecraft-timing is a skill published in the GitHub repository spedas/spedas_agent_kit (3 stars, last pushed 1mo ago), licensed MIT. It adds 113 tokens to every session and 2,051 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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