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 spice-conjunction-findergit 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/spice-conjunction-finder)<a href="https://agentmods.dev/skills/spedas/spedas_agent_kit/spice-conjunction-finder"><img src="https://agentmods.dev/badge/skills/spedas/spedas_agent_kit/spice-conjunction-finder/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/spice-conjunction-finder"><img src="https://agentmods.dev/badge/skills/spedas/spedas_agent_kit/spice-conjunction-finder.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 | $0.00063 | $0.01343 |
| Opus 5 | $0.00032 | $0.00672 |
| Sonnet 5 | $0.00013 | $0.00269 |
| Haiku 4.5 | $0.00006 | $0.00134 |
Grade A, and why
spice-conjunction-finder 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-spacecraft / body conjunction finder
A guided version of the SPEDAS conjunction crib: locate the times in a window when two objects (two spacecraft, or a spacecraft and a planet) are within some separation. The value is the scan-and-refine procedure with kernel handling — no single tool finds conjunctions; this composes the geometry tools with a small local separation calculation and judgment between steps.
When to use
- "When were PSP and Solar Orbiter closest in ?"
- "Find conjunctions between and under million km."
- "Is spacecraft X near planet Y during this interval?"
Tool chain (all already exist)
spedas_overview() → manage_data_cache(source_type="spice", action="status") (availability)
→ get_ephemeris(target=..., time=..., time_end=..., output_file=...) for both objects → local separation CSV
(coarse, then refined) → optional render_tplot (requires spedas-agent-kit[analysis]),
wrapped in create_spedas_analysis_bundle.
compute_distance(...) is useful as a quick sanity check for aggregate min/max/mean
separation over a sampled interval, but it currently does not return the timestamp of
the minimum or a sampled series. Do not use it as the source of candidate-minimum times.
Procedure
-
Bundle.
create_spedas_analysis_bundle(study_name, output_dir, science_goal, start, stop). -
Confirm the SPICE surface and target names. Start with
spedas_overview()andmanage_data_cache(source_type="spice", action="status")to confirm the current unified geometry/data surface. The older separate mission/frame listing tools are not part of the current advertised surface. Use supported target/frame names accepted byget_ephemeris/compute_distance(unsupported bodies return a structuredunsupported_spice_targeterror with alternatives; unsupported frames return a structured frame error). Pick one observer and frame for both trajectories, normallyobserver="SUN"andframe="ECLIPJ2000"unless the science case requires otherwise.
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 · 56 lines · 63 tokens per session scan A a606ba3e1a3e
spice-conjunction-finder is a skill published in the GitHub repository spedas/spedas_agent_kit (3 stars, last pushed 1mo ago), licensed MIT. It adds 63 tokens to every session and 1,343 once invoked, about $0.0003 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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