tfenv copilot-instructions.md

A set of coding-agent instructions for tfenv, a project that uses GitHub Copilot instruction files and agent definitions. It points agents to the main project guide, security policy, and architecture records.

In plain words
What is it for?
Use it when working on tfenv to follow Bash-specific guidance, locate agent definitions, consult AGENTS.md, handle security disclosures correctly, and review architecture decisions.
Why use it?
It helps an agent find the authoritative project rules and understand which instructions apply to different files.

Instructions file for GitHub Copilot

Install

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.

agentmods
npx agentmods add instructions/tfutils/tfenv/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/tfutils/tfenv

Made for: GitHub Copilot.

Per session 232 This file is loaded in full into every session.
When invoked 232 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00232 $0.00232
Opus 5 $0.00116 $0.00116
Sonnet 5 $0.00046 $0.00046
Haiku 4.5 $0.00023 $0.00023

Measured 2d ago against content hash b21b5e0b8e8d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

tfenv 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.github/copilot-instructions.md · 28 lines

What it actually says

Copilot Instructions — tfenv

This file is intentionally minimal. The canonical source for project architecture, conventions, and agent guidelines is AGENTS.md at the repository root.

Auto-Loaded Instructions

Language-specific coding standards are in .github/instructions/ and use applyTo frontmatter to load automatically when editing matching files:

File Applies To Purpose
bash.instructions.md **/*.sh Bash coding standards

Agent Definitions

Agent definitions live in .github/agents/ as .agent.md files. Each agent has a YAML frontmatter block with description, tools, model, and argument-hint fields.

Key References

  • AGENTS.md — master context: project overview, core principles, conventions, work type ownership, essential commands
  • SECURITY.md — vulnerability reporting policy
  • docs/adr/ — Architecture Decision Records
Changes

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.

  1. 2d ago First seen · 28 lines · 232 tokens per session scan A b21b5e0b8e8d

Subscribe to this mod's changes

tfenv copilot-instructions.md is an instructions file published in the GitHub repository tfutils/tfenv (4,967 stars, last pushed 2mo ago), licensed MIT. It adds 232 tokens to every session, about $0.0012 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.