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 omori-utsu-analysisgit 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/omori-utsu-analysis)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/omori-utsu-analysis"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/omori-utsu-analysis/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/omori-utsu-analysis"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/omori-utsu-analysis.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 | $0.00042 | $0.00360 |
| Opus 5.5 | $0.00017 | $0.00144 |
| Sonnet 5.5 | $0.00008 | $0.00072 |
| Haiku 4.5 | $0.00004 | $0.00036 |
Grade A, and why
omori-utsu-analysis 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 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.
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
Omori–Utsu aftershock analysis
- Obtain one complete first-page catalog with
search_usgs_earthquakes. Narrow the time, magnitude, or spatial query untilpagination.completenessispage-complete; never splice pages or discard the raw/normalized receipts. - Ask the researcher for the mainshock instant, inclusive observation start/end, the time after which the catalog is considered complete, magnitude completeness
Mc, one exact magnitude type, fixed rate-bin width in seconds, and boundedpandcranges. Do not infer any of these scientific boundaries. - Call
analyze_usgs_omori_utsu. Treat onlystatus: completeas an interior numerical optimum. Surfaceinsufficient-dataand everystatusReasonsitem. A parameter-boundary optimum isinvalid; widen or scientifically revise the bounds rather than relabeling it. - Keep the event audit, publication table, both Vega-Lite payloads, source hashes, content receipts, and overall analysis SHA-256 together. Zero-count bins are observations and must remain in tables and residual diagnostics.
- Report
p,cin seconds, andKwith its declared unit. State that the model is a single-sequence non-homogeneous Poisson fit and does not model background seismicity, secondary triggering, declustering, confidence intervals, forecast skill, or causality.
The host supplies Vega rendering. This plugin returns deterministic specifications and does not bundle a renderer.
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 · 15 lines · 42 tokens per session scan A 3e9d478e6bb5
omori-utsu-analysis is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 42 tokens to every session and 360 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-04.
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