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 SteadfastAsArt/geoscience-skills --skill ensaiogit clone --depth 1 https://github.com/SteadfastAsArt/geoscience-skillsWrote 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/steadfastasart/geoscience-skills/ensaio)<a href="https://agentmods.dev/skills/steadfastasart/geoscience-skills/ensaio"><img src="https://agentmods.dev/badge/skills/steadfastasart/geoscience-skills/ensaio/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/steadfastasart/geoscience-skills/ensaio"><img src="https://agentmods.dev/badge/skills/steadfastasart/geoscience-skills/ensaio.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 | $0.00052 | $0.00603 |
| Opus 5.5 | $0.00021 | $0.00241 |
| Sonnet 5.5 | $0.00010 | $0.00121 |
| Haiku 4.5 | $0.00005 | $0.00060 |
Grade A, and why
ensaio 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.
How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ensaio
Retrieve an explicit data version, then read it with a suitable format library. A package version and a dataset version identify different things.
Acquisition
Select a fetcher from the installed API, review the original data license and
citation, and estimate download/storage needs. ENSAIO_DATA_DIR selects a project
cache. Preserve original downloaded bytes; write derived products elsewhere.
The underlying Pooch registry verifies the expected content hash.
Versioned GPS data
# example: alps-gps
from pathlib import Path
import hashlib
import ensaio
import pandas as pd
source_path = Path(ensaio.fetch_alps_gps(version=1))
source_sha256 = hashlib.sha256(source_path.read_bytes()).hexdigest()
gps = pd.read_csv(source_path)
This returns a compressed CSV path, not a DataFrame. A first fetch requires network access unless the verified bytes are already cached. A network failure is not a validated empty dataset, and disabling hash verification is not a fix.
Scientific checks
Inspect column units, coordinate/velocity reference frames, epochs and uncertainty definitions from the original source. For this dataset, the published solution uses IGb08/ITRF2008 and the GRS80 ellipsoid, with horizontal velocities relative to Eurasia. Ensaio's short fetcher description says WGS84; do not use that shorthand to override the detailed source provenance or perform an unrecorded conversion.
Check station identifiers and missing values; keep velocity components and their standard deviations paired. Position uncertainty and velocity uncertainty are not interchangeable. Resampling or gridding must carry the reference frame and does not improve the observation accuracy automatically.
Record dataset version, source hash, package version, retrieval date and citation. See the fetcher documentation, original data and redistributed v1 release.
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 · 62 lines · 52 tokens per session scan A b4952b1c8f76
ensaio is a skill published in the GitHub repository SteadfastAsArt/geoscience-skills (70 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 603 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 2026-09-16.
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