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/basefoundry/base/copilot-instructionsgit clone --depth 1 https://github.com/basefoundry/baseWhat 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 | $0.00544 | $0.00544 |
| Opus 5 | $0.00272 | $0.00272 |
| Sonnet 5 | $0.00109 | $0.00109 |
| Haiku 4.5 | $0.00054 | $0.00054 |
Grade A, and why
base 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 2d 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
GitHub Copilot Instructions
Use AGENTS.md as the canonical workflow guidance for Base. These instructions
exist to point Copilot at the same repository-owned rules used by other coding
agents; they do not replace AGENTS.md, CONTRIBUTING.md, STANDARDS.md, or
the .ai-context/ orientation files.
Keep Base focused as the local operating contract for deterministic readiness and handoff across independent Git repositories. Its durable loop is inventory -> prepare -> verify -> trust -> onboard -> hand off. Project application code, project-specific setup, service behavior, and one-off local machine preferences belong in the owning project unless Base is explicitly the right shared layer.
For implementation work, use Base's issue-backed workflow:
- choose or create the GitHub issue before editing;
- use the branch shape
<category>/<issue>-<YYYYMMDD>-<slug>; - do not replace the category with a Copilot-specific or generic agent prefix;
- link pull requests with
Fixes #<issue>orCloses #<issue>; - keep Project metadata updated as described in
AGENTS.md; - update
.ai-context/when a change affects Base's product shape, architecture, command surface, manifest model, release status, or durable workflow guidance.
For a pull request superseded by another pull request, follow the
superseded-PR close-and-cleanup rule in AGENTS.md before ending the session.
Follow CONTRIBUTING.md for contribution flow and STANDARDS.md for coding
standards. Prefer existing Base helpers, structured parsers, and local command
patterns over new one-off conventions.
Use the narrowest relevant validation first:
- documentation-only changes:
git diff --check; - Python changes: use the standalone
base-clisource checkout and run the focused pytest target withBASE_CLI_SOURCE_DIR=../base-cli/lib/pythonandPYTHONPATH=../base-cli/lib/python:lib/python:cli/python; - Bash command changes: run the focused BATS tests;
- general Base changes: run
basectl test basewhen practical.
Copilot cloud-agent sessions may run .github/workflows/copilot-setup-steps.yml
before work starts. That workflow is only a lightweight environment guardrail;
pull requests still need the focused validation above and normal CI review.
Do not require GitHub Copilot for Base development, add personal Copilot or Codex settings, store credentials, or introduce third-party agent methodology as a repo requirement. Translate useful external workflow ideas into smaller Base-native guidance.
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.
- 2d ago First seen · 49 lines · 544 tokens per session scan A 343d70576304
base copilot-instructions.md is an instructions file published in the GitHub repository basefoundry/base (119 stars, last pushed 2d ago), licensed Apache-2.0. It adds 544 tokens to every session, about $0.0027 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.
Other instructions, from other repositories
lazy-starter-kit CLAUDE.md
Instructions for Heoooooon/lazy-starter-kit: Follow the safety rules in AGENTS.md. In particular, never execute recursive rm directly; use lazy-safe-rm for a strict descendant of the current Git workspace.
lazy-starter-kit AGENTS.md
Instructions for Heoooooon/lazy-starter-kit, a project described as: A signed GUI and one safe command to turn macOS, Linux, or Windows into a complete AI development environment — dry-run first, repeatable, and tested.
gentelella CLAUDE.md
Instructions for ColorlibHQ/gentelella, covering claude.md, what this is, commands, architecture and directory layout.
gentelella AGENTS.md
Instructions for ColorlibHQ/gentelella, covering agents.md, what this is, setup, architecture and directory layout.
gentelella copilot-instructions.md
Instructions for ColorlibHQ/gentelella, covering github copilot instructions — gentelella v4, hard rules, file layout, anti-patterns and commands.
maroto AGENTS.md
Instructions for johnfercher/maroto, covering agent instructions, skills, definition of done, contributing commands and tool dependencies.