Borrowing it
Nothing to install: this file belongs to perilevy/lsp-intelligence. 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/perilevy/lsp-intelligence/main/CLAUDE.mdgit clone --depth 1 https://github.com/perilevy/lsp-intelligenceWrote 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/perilevy/lsp-intelligence/claude-md)<a href="https://agentmods.dev/instructions/perilevy/lsp-intelligence/claude-md"><img src="https://agentmods.dev/badge/instructions/perilevy/lsp-intelligence/claude-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/perilevy/lsp-intelligence/claude-md"><img src="https://agentmods.dev/badge/instructions/perilevy/lsp-intelligence/claude-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 | $0.00817 | $0.00817 |
| Opus 5.5 | $0.00327 | $0.00327 |
| Sonnet 5.5 | $0.00163 | $0.00163 |
| Haiku 4.5 | $0.00082 | $0.00082 |
Grade A, and why
lsp-intelligence CLAUDE.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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LSP Intelligence — Agent Instructions
Local code intelligence for real engineering workflows. Find code, explain failures, guard API contracts.
Note: The first query in a new session may take a few seconds while the TypeScript engine warms up. The workspace index is persisted and loads instantly on repeat sessions. Subsequent queries are 100-300ms.
Primary tools
| Workflow | Tool | Skill |
|---|---|---|
| Find code by intent | find_code |
/find |
| Find structural patterns | find_pattern |
— |
| Trace root cause of an error | root_cause_trace |
/why |
| Check API contract changes | api_guard |
/api-check |
| Full pre-merge verification | verify_changes |
/verify |
When to use LSP tools
| You want to... | Instead of... | Use |
|---|---|---|
| Find where an API is used | grep "symbolName" |
find_code or find_references |
| Find implementations by concept | Multiple greps | find_code (auto-routes to behavior search) |
| Find structural patterns | Manual code reading | find_code or find_pattern |
| Find config/route/flag definitions | Grepping JSON/YAML | find_code with config focus |
| Jump to a definition | Reading imports | goto_definition |
| Understand a type signature | Reading the source file | hover |
| See what a file contains | read on the whole file |
outline |
| Know what breaks if you change something | Manual tracing | impact_trace |
| Prepare context for a coding task | Reading 5-10 files | gather_context |
| Check for type errors after editing | Running tsc |
live_diagnostics |
| Understand a TypeScript error | Reading error + source | explain_error / /why |
| Review what you changed semantically | git diff |
semantic_diff |
When to still use grep
- Searching for string literals in comments or logs
- Searching non-code files where LSP has no coverage
- Simple text matching where code-aware ranking isn't needed
Workflow patterns
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.
- 2mo ago First seen · 76 lines · 817 tokens per session scan A 802d908c9c9d
lsp-intelligence CLAUDE.md is an instructions file published in the GitHub repository perilevy/lsp-intelligence (1 stars, last pushed 7mo ago), licensed MIT. It adds 817 tokens to every session, about $0.0033 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 2026-08-31.
lsp-intelligence CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| lsp-intelligence CLAUDE.mdperilevy/lsp-intelligence | Instructions file | 1 | 7mo ago | MIT | A | 817 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |