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 agentmods add instructions/ucam-eo/geotessera/copilot-instructionsgit clone --depth 1 https://github.com/ucam-eo/geotesseraWrote 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/instructions/ucam-eo/geotessera/copilot-instructions)<a href="https://agentmods.dev/instructions/ucam-eo/geotessera/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/ucam-eo/geotessera/copilot-instructions.svg" alt="Measured on agentmods" 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 | $0.02084 | $0.02084 |
| Opus 5 | $0.01042 | $0.01042 |
| Sonnet 5 | $0.00417 | $0.00417 |
| Haiku 4.5 | $0.00208 | $0.00208 |
Grade A, and why
geotessera copilot-instructions.md 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 5d 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 — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Copilot Instructions for GeoTessera
Project Overview
GeoTessera is a Python library for accessing and working with Tessera geospatial foundation model embeddings. The library provides tools to download, process, and visualize satellite imagery embeddings from Sentinel-1 and Sentinel-2 data at 10m resolution.
Core Architecture
- Two-step workflow: Retrieve embeddings (numpy arrays) → Export to desired format (GeoTIFF/NPY)
- Registry system: Parquet-based metadata registry for efficient tile lookup
- 0.1-degree grid: Tiles cover ~11km × 11km, named by center coordinates
- Direct HTTP downloads: On-demand tile fetching with automatic cleanup
- Hash verification: SHA256 checksums ensure data integrity by default
Technology Stack
Core Dependencies
- Python: 3.12 or 3.13 required (
requires-python = ">=3.12") - CLI Framework:
typerwithrichfor interactive output - Geospatial:
rasterio,geopandas,rioxarrayfor GIS operations - Data Processing:
numpy,pandas,pyarrow(for Parquet registry) - Visualization:
matplotlib,scikit-learn(PCA),scikit-image - Storage:
zarr,xarray,daskfor chunked data handling
Build System
- Package Manager: Uses
uvfor dependency management (preferred) orpip - Configuration:
pyproject.tomlwith setuptools backend - Lock File:
uv.lockfor reproducible builds - Test Framework:
cram(shell-based functional testing) - Linting:
rufffor code quality
Coding Standards
Python Style
- Follow PEP 8 conventions
- Use type hints for function signatures (e.g.,
Optional[str],Path, etc.) - Use
typing_extensions.Annotatedfor CLI argument annotations withtyper - Prefer pathlib
Pathover string paths - Use f-strings for string formatting
Code Organization
geotessera/
├── __init__.py # Package exports and version
├── core.py # Main GeoTessera class
├── registry.py # Parquet registry management
├── cli.py # Main CLI commands
├── registry_cli.py # Registry-specific CLI
├── store.py # Zarr v3 store access (GeoTesseraZarr)
├── tiles.py # Tile abstraction (GeoTIFF + NPY)
├── visualization.py # Visualization functions
├── web.py # Web map generation
├── country.py # Country bounding box utilities
└── progress.py # Progress tracking utilities
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.
- 5d ago First seen · 254 lines · 2,084 tokens per session scan A f6a35a3eb28d
geotessera copilot-instructions.md is an instructions file published in the GitHub repository ucam-eo/geotessera (342 stars, last pushed today), licensed MIT. It adds 2,084 tokens to every session, about $0.0104 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 2026-08-30.
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Copilot instructions for Hongda-Zhao/bio-gene-to-reference-tree, a project described as: Auditable agent skill for resolving protein queries, selecting references, and planning reproducible phylogenetic trees.
braina GEMINI.md
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research-automation CLAUDE.md
Instructions for lucafusarbassini/research-automation, covering ricet - research automation framework, project overview, claude-flow mcp, workflow habits and file organization.
shannon-prover CLAUDE.md
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SciCrucible CLAUDE.md
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