Borrowing it
Nothing to install: this file belongs to boettiger-lab/data-workflows. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/boettiger-lab/data-workflows/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/boettiger-lab/data-workflowsWrote 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/boettiger-lab/data-workflows/copilot-instructions)<a href="https://agentmods.dev/instructions/boettiger-lab/data-workflows/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/boettiger-lab/data-workflows/copilot-instructions/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/instructions/boettiger-lab/data-workflows/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/boettiger-lab/data-workflows/copilot-instructions.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 | $0.00455 | $0.00455 |
| Opus 5.5 | $0.00182 | $0.00182 |
| Sonnet 5.5 | $0.00091 | $0.00091 |
| Haiku 4.5 | $0.00046 | $0.00046 |
Grade A, and why
data-workflows 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 2mo 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
Start Here
Read AGENTS.md before doing anything. It explains the workflow for processing datasets.
This repo has no source code. Do not look for Python modules to study. The cng-datasets CLI is installed via pip and used as a black box — see its README for CLI docs.
Repository Structure
AGENTS.md— complete instructions for processing datasetsDATASET_DOCUMENTATION_WORKFLOW.md— how to create STAC metadata after processingtodo.md— dataset completion trackercatalog/— per-dataset configs: k8s YAML, STAC metadata, processing notes
Local Environment
The cng-datasets CLI is used to generate k8s job YAML files (not for processing data locally).
Setup:
uv venv
source .venv/bin/activate
uv pip install git+https://github.com/boettiger-lab/datasets.git
Do not run data processing commands (vector, raster, repartition) locally — those run inside k8s pods.
Available Skills
Detailed reference guides are in .claude/skills/. Do not read these proactively — load a skill only when the task requires it:
| Skill file | When to load |
|---|---|
.claude/skills/stac-authoring/SKILL.md |
Writing or editing any stac-collection.json or dataset README |
.claude/skills/raster-hexing/SKILL.md |
Ingesting or re-hexing a GeoTIFF/COG — resolution, reducer, mosaicking |
.claude/skills/hex-tuning/SKILL.md |
A hex job OOMs, or choosing native/parent H3 resolutions and chunk sizes |
.claude/skills/job-troubleshooting/SKILL.md |
A job fails, hangs, or a published parquet will not read |
.claude/skills/dataset-recipes/SKILL.md |
Starting an ingest that resembles a worked example |
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.
- 2mo ago First seen · 38 lines · 455 tokens per session scan A 932fdcc07c23
data-workflows copilot-instructions.md is an instructions file published in the GitHub repository boettiger-lab/data-workflows (5 stars, last pushed 2d ago), licensed BSD-3-Clause. It adds 455 tokens to every session, about $0.0018 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 2026-08-31.
data-workflows copilot-instructions.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| data-workflows copilot-instructions.mdboettiger-lab/data-workflows | Instructions file | 5 | 2d ago | BSD-3-Clause | A | 455 | GitHub Copilot |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |