Borrowing it
Nothing to install: this file belongs to lsp-client/lsp-skill. 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/lsp-client/lsp-skill/main/AGENTS.mdgit clone --depth 1 https://github.com/lsp-client/lsp-skillWrote 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/lsp-client/lsp-skill/agents-md)<a href="https://agentmods.dev/instructions/lsp-client/lsp-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/lsp-client/lsp-skill/agents-md/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/lsp-client/lsp-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/lsp-client/lsp-skill/agents-md.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 | $0.00300 | $0.00300 |
| Opus 5.5 | $0.00120 | $0.00120 |
| Sonnet 5.5 | $0.00060 | $0.00060 |
| Haiku 4.5 | $0.00030 | $0.00030 |
Grade A, and why
lsp-skill AGENTS.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 1mo 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
AGENTS.md
Development Commands
- Lint & format:
ruff check --fix && ruff format - Type checking:
ty check <dir_or_file> - Run tests:
uv run pytest - Sync latest deps:
uv sync --upgrade
Release Workflow
- Update version in
pyproject.tomlandskills/lsp-code-analysis/.version - Run
just checkandjust test - Commit:
git add . && git commit -m "Bump version to x.y.z" - Release:
just release x.y.z(creates tag and pushes) - GitHub Actions will automatically:
- Stable (
v*.*.*): Publish to PyPI + GitHub Release - Beta (
v*.*.*-beta.*): Publish to TestPyPI + Pre-release
- Stable (
Submodule Management
- This repository contains submodules in
packages/LSAPandpackages/lsp-client. - Pull Requests: When modifying code within these submodules, always create the PR in the submodule's own repository.
Code Style Guidelines
- Python: 3.13+ required
attrsfor class definitionsanyioandasyncerfor async programmingcycloptsfor cli,richfor printing- Output: Use plain text without colors or special formatting for all CLI messages
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.
- 1mo ago First seen · 32 lines · 300 tokens per session scan A 9cd3c9afa4ec
lsp-skill AGENTS.md is an instructions file published in the GitHub repository lsp-client/lsp-skill (118 stars, last pushed 8mo ago), licensed MIT. It adds 300 tokens to every session, about $0.0012 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 2026-08-30.
Other instructions, from other repositories
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next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.