Borrowing it
Nothing to install: this file belongs to StarsMilky/MCPCodeIntelligence. 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/StarsMilky/MCPCodeIntelligence/001-ide-sdk-mcp-tools/.cursor/skills/MCP Code Intelligence/SKILL.mdgit clone --depth 1 https://github.com/StarsMilky/MCPCodeIntelligenceWrote 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/skills/starsmilky/mcpcodeintelligence/mcp-code-intelligence)<a href="https://agentmods.dev/skills/starsmilky/mcpcodeintelligence/mcp-code-intelligence"><img src="https://agentmods.dev/badge/skills/starsmilky/mcpcodeintelligence/mcp-code-intelligence/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/skills/starsmilky/mcpcodeintelligence/mcp-code-intelligence"><img src="https://agentmods.dev/badge/skills/starsmilky/mcpcodeintelligence/mcp-code-intelligence.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 | $0.00124 | $0.03332 |
| Opus 5.5 | $0.00050 | $0.01333 |
| Sonnet 5.5 | $0.00025 | $0.00666 |
| Haiku 4.5 | $0.00012 | $0.00333 |
Grade A, and why
mcp-code-intel 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.
How it starts
The opening of the file, as written. The whole thing — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Code Intelligence
13 IDE-level tools for AI agents. Always prefer these over CLI equivalents.
Every tool response includes a nextAction hint suggesting the best follow-up call — use it to chain tools.
Quick Reference
| Task | Tool Call |
|---|---|
| Find a symbol by name | find_symbol(name="UserRepository", kind="CLASS") |
| Find a symbol by FQN | find_symbol(name="com.example.UserRepository") |
| What type is this? | resolve_symbol(file, line, column) |
| Who uses this symbol? (by name) | find_references(qualified_name="com.example.Foo", mode="USAGES") |
| Who uses this symbol? (by pos) | find_references(file, line, col, mode="USAGES") |
| Who calls this method? | find_references(qualified_name="com.Foo.bar", mode="CALLERS", depth=3) |
| What does this method call? | find_references(file, line, col, mode="CALLEES") |
| Class hierarchy | find_references(qualified_name="com.Foo", mode="TYPE_HIERARCHY") |
| Symbols at cursor | get_scope(file, line, col, filter="ALL") |
| Project overview | query_project(mode="OVERVIEW") |
| Dependency impact | query_project(mode="DEPENDENCY", target_class="com.Foo") |
| Framework details | query_framework(framework="ROOM", detail_target="UserEntity") |
| Null safety check | analyze_data_flow(file, line, col, mode="NULLABILITY") |
| Value tracing | analyze_data_flow(file, line, col, mode="BACKWARD") |
| Quality hotspots | analyze_quality(mode="COMPLEXITY", top_n=10) |
| Architecture rules | check_rules(rules=[...]) |
| Pattern search | structural_search(pattern="@Composable fun $X$") |
| Rename safely | refactor(operation="RENAME", file, line, col, new_name="New") |
| Create checkpoint | checkpoint(operation="CREATE", label="before-fix") |
| Decompile class | sandbox(operation="DECOMPILE", qualified_class_name="...") |
Critical Rules
- NEVER use
grep/rgfor code references →find_references(mode="USAGES") - NEVER use
grep/rgto locate a symbol →find_symbol(name="SymbolName") - NEVER guess types →
resolve_symbol(file, line, column) - NEVER use
sed/text-replace for renaming →refactor(operation="RENAME") - NEVER start multi-file changes without →
checkpoint(operation="CREATE") - ALWAYS start with
query_project(mode="OVERVIEW")on a new project - ALWAYS use
find_symbol(name=...)to locate symbols instead of grep - All enum values are UPPERCASE:
"USAGES","RENAME","OVERVIEW", not"usages" find_referencesaccepts two entry modes:file+line+column(position) ORqualified_name(name-based).resolve_symbolis position-only — usefind_symbolfor name-based lookup.
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 · 285 lines · 124 tokens per session scan A 67caa1b31696
mcp-code-intel is a skill published in the GitHub repository StarsMilky/MCPCodeIntelligence (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 124 tokens to every session and 3,332 once invoked, about $0.0005 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.
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