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 gutenberg-richter-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/gutenberg-richter-analysis)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/gutenberg-richter-analysis"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/gutenberg-richter-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/gutenberg-richter-analysis"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/gutenberg-richter-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 | $0.00050 | $0.00404 |
| Opus 5.5 | $0.00020 | $0.00162 |
| Sonnet 5.5 | $0.00010 | $0.00081 |
| Haiku 4.5 | $0.00005 | $0.00040 |
Grade A, and why
gutenberg-richter-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
Gutenberg–Richter analysis
Use this workflow only for a bounded magnitude–frequency analysis of observed USGS ComCat events.
- Retrieve a USGS catalog with
search_usgs_earthquakes. Use offset 1 and narrow the UTC window or rectangular region untilpagination.nextOffsetis null andpagination.completenessispage-complete. - Ask the researcher for the magnitude-completeness threshold
Mc, the magnitude discretizationΔM(normally the catalog precision), and the single magnitude type to analyze. Never inferMcor convert magnitude scales. - Call
analyze_usgs_gutenberg_richterwith the exact returned catalog. Do not reconstruct its provenance fields or hashes. - Inspect
selectionand the completeeventAuditTablebefore interpreting the estimate. Missing magnitudes remain explicit nulls; magnitude-type mismatches and sub-Mcevents are separate exclusion reasons. - Use
publicationTablefor numerical reporting andvegaLitefor the magnitude–frequency figure. Keep the raw-response, normalized-catalog, table, figure, and analysis hashes with the result.
The estimator is b=log10(e)/(mean(M)-(Mc-ΔM/2)). Report the asymptotic Aki standard error and normal confidence interval as such. This workflow fails below 50 included events, below three occupied magnitude bins, for incomplete pagination, or for values not aligned to the declared magnitude grid.
This workflow does not estimate completeness, decluster aftershocks, test spatial stationarity, convert magnitude scales, perform bootstrap uncertainty, or support forecast and causal claims. Those limitations belong in any manuscript methods and limitations sections.
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 · 19 lines · 50 tokens per session scan A d0fd2428e9dd
gutenberg-richter-analysis is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 50 tokens to every session and 404 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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