kmp-lsp copilot-instructions.md

kmp-lsp copilot-instructions.md is an instructions file for GitHub Copilot from Hessesian/kmp-lsp. It costs 914 tokens per session, scanned A, original, MIT.

Copilot instructions for Hessesian/kmp-lsp, covering kmp-lsp — agent & copilot coding instructions, workflow, code quality, rust-specific and key 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/hessesian/kmp-lsp/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/Hessesian/kmp-lsp

Made for: GitHub Copilot.

Wrote 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.

agentmods badge for kmp-lsp copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/hessesian/kmp-lsp/copilot-instructions.svg)](https://agentmods.dev/instructions/hessesian/kmp-lsp/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/hessesian/kmp-lsp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/hessesian/kmp-lsp/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>
Per session 914 This file is loaded in full into every session.
When invoked 914 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 $0.00914 $0.00914
Opus 5 $0.00457 $0.00457
Sonnet 5 $0.00183 $0.00183
Haiku 4.5 $0.00091 $0.00091

Measured today against content hash f4d4b449a571, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

kmp-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 today.

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.

.github/copilot-instructions.md · 46 lines

How it starts

The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.

kmp-lsp — Agent & Copilot Coding Instructions

Deep reference material (source layout, architecture patterns, coding guidelines with examples, test conventions, Serena MCP workflow) lives in docs/agent-reference.md. Load that on-demand. This file is behavioral rules only.

Workflow

  • Never commit directly to main. Always create a feature branch, push, and open a PR.
  • PR merge workflow: commit → push → resolve ALL review threads via gh api graphql resolveReviewThread → re-request review → gh pr merge --squash --delete-branch.
  • Stacked PRs: merge base first, rebase dependent, then cargo build && cargo test on main after.
  • After merging, install the binary: cargo install --path . --force.
  • Run tests after every change: cargo test. All tests must pass.
  • Run clippy after every change: cargo clippy -- -D warnings. Must be clean.

Code Quality

  • Rust types model behaviour — code should be obvious in retrospect.
  • Reach for a type before reaching for a comment. When you feel the need to explain control flow — why a fallback exists, what a None/empty result means, which order branches run, whether a string is still a placeholder — first ask whether an enum, newtype, or struct would encode that meaning so the compiler carries it and the signature tells the story. Prefer enum Outcome { Resolved(T), KeepWalking } over Option<T> + a comment; prefer a ResolvedType that distinguishes concrete vs. generic over an is_generic(&str) sniff. Keep comments for irreducible domain knowledge (e.g. why apply means this = receiver), not for scaffolding the types should hold.
  • No abbreviated names. Never use single-letter or short variable names like s, c, ty, rt, sym, loc, p, diags. Use full words: string, char, type, receiver, symbol, location, package, diagnostics.
  • Explicit over clever. Split compound boolean expressions into named variables. Avoid chained combinators when a simple conditional is clearer.
  • Every fix must include a test. If a bug slips through, the test should have caught it.
  • Write tests that prove correctness, not just verify happy-path. Include competing/misleading definitions to catch regressions.
  • and in a function name means it's doing two things. Split into two functions.
  • Section comments inside a function body signal a split. Each phase becomes a named helper.

Read the full file on GitHub · 46 lines

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. today First seen · 46 lines · 914 tokens per session scan A f4d4b449a571

Subscribe to this mod's changes

kmp-lsp copilot-instructions.md is an instructions file published in the GitHub repository Hessesian/kmp-lsp (180 stars, last pushed today), licensed MIT. It adds 914 tokens to every session, about $0.0046 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 2026-09-04.