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/zircote/terraform-lsp/copilot-instructionsgit clone --depth 1 https://github.com/zircote/terraform-lspWrote 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/zircote/terraform-lsp/copilot-instructions)<a href="https://agentmods.dev/instructions/zircote/terraform-lsp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/zircote/terraform-lsp/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 5.1 | $0.00203 | $0.00203 |
| Opus 5 | $0.00102 | $0.00102 |
| Sonnet 5 | $0.00041 | $0.00041 |
| Haiku 4.5 | $0.00020 | $0.00020 |
Grade A, and why
terraform-lsp copilot-instructions.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Copilot instructions
You are working in a Claude Code plugin for Terraform development with terraform-ls LSP integration.
Priorities
- Keep changes small and reviewable.
- Hooks must be fast - use
head -Nto limit output,|| trueto prevent blocking. - Update documentation when you change developer-facing behavior.
Commands
- Setup:
/setup(installs terraform-ls, tflint, trivy, checkov) - Validate:
/validate(verifies plugin installation)
Key Files
.lsp.json- terraform-ls LSP configurationhooks/hooks.json- 17 automated hooks.claude/commands/*.md- slash commands
Hook Patterns
- Use
command -v tool >/dev/null &&for optional dependencies - Use
cd "$(dirname "$CLAUDE_FILE_PATH")"for directory-scoped commands - All hooks trigger on
afterWrite
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 · 27 lines · 203 tokens per session scan A c106c3c7124b
terraform-lsp copilot-instructions.md is an instructions file published in the GitHub repository zircote/terraform-lsp (2 stars, last pushed 26d ago), licensed MIT. It adds 203 tokens to every session, about $0.0010 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 2026-08-31.
Other instructions, from other repositories
OCI-draw.io-Architect CLAUDE.md
Instructions for sergio-farfan/OCI-draw.io-Architect, covering claude.md, project, repository contents, commands and package the plugin.
railctl copilot-instructions.md
Instructions for kubenoops/railctl, a project described as: A declarative CLI for Railway.app infrastructure management — kubectl-style workflows for Railway projects, services, and environments.
insideout-power AGENTS.md
Instructions for luthersystems/insideout-power, covering insideout — riley infrastructure agent, what riley can do for you, how to invoke riley, via remote mcp (preferred — use this first) and via agent skills.
hetzner-mcp copilot-instructions.md
Copilot instructions for jurislm/hetzner-mcp, covering copilot instructions for hetzner-mcp, project overview, git workflow, build & run and tool categories.
railctl CLAUDE.md
Instructions for kubenoops/railctl, a project described as: A declarative CLI for Railway.app infrastructure management — kubectl-style workflows for Railway projects, services, and environments.
awsmux AGENTS.md
Instructions for 0hardik1/awsmux, covering agents.md, what awsmux is, build, test, verify, layout and the safety model — invariants you must not weaken.