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 agentlas-ai/agentlas-desktop --skill astrometric-kinematicsgit clone --depth 1 https://github.com/agentlas-ai/agentlas-desktopWrote 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/agentlas-ai/agentlas-desktop/astrometric-kinematics)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/astrometric-kinematics"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/astrometric-kinematics/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/agentlas-ai/agentlas-desktop/astrometric-kinematics"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/astrometric-kinematics.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 | $0.00031 | $0.00332 |
| Opus 5.5 | $0.00012 | $0.00133 |
| Sonnet 5.5 | $0.00006 | $0.00066 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade B, and why
astrometric-kinematics scanned grade B with 1 finding 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 1mo 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.
Unrestricted tool accessmediumExcessive agency
A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.
4. Call `analyze_astrometric_kinematics`. The calculation performs no network access and cannot execute arbitrary code. What it actually says
Astrometric Kinematics
- Preserve the exact source table or provider-response SHA-256 and pass it as
source_content_sha256. - Project no more than 500 unique objects. Every row must carry explicit values or
nullfor parallax, parallax error, both proper-motion components, and the proper-motion error ellipse. - Use the SIMBAD convention
pmra = mu_alpha*cos(dec). The error-ellipse position angle is measured north through east in[0, 180)degrees. - Call
analyze_astrometric_kinematics. The calculation performs no network access and cannot execute arbitrary code. - Treat inverse-parallax distance as a bounded descriptive estimator, not a Bayesian distance. Do not use excluded rows for inference; review every
exclusionReasonsvalue. - Keep the returned input, algorithm, table, figure, and result hashes with any manuscript export. The FigureSpec is data, not proof that a Vega-Lite renderer or image exporter ran.
Scientific boundary
The tool reconstructs proper-motion component covariance from the supplied error ellipse, then uses first-order delta propagation and a two-sided normal 95% interval. It assumes zero parallax/proper-motion covariance because that covariance is not present in the input. Missing uncertainties remain null. Nonpositive parallaxes and rows exceeding the declared fractional-error thresholds are excluded from inference, although available point estimates remain visible where mathematically defined.
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.
- 1mo ago First seen · 18 lines · 31 tokens per session scan B da731e39ae17
astrometric-kinematics is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 31 tokens to every session and 332 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 1 finding (unrestricted tool access). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
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