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 skills/mahmoud20138/tradecraft/gitnexus-codebase-intelligencenpx skills add mahmoud20138/Tradecraft --skill gitnexus-codebase-intelligencegit clone --depth 1 https://github.com/mahmoud20138/TradecraftWrote 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/mahmoud20138/tradecraft/gitnexus-codebase-intelligence)<a href="https://agentmods.dev/skills/mahmoud20138/tradecraft/gitnexus-codebase-intelligence"><img src="https://agentmods.dev/badge/skills/mahmoud20138/tradecraft/gitnexus-codebase-intelligence.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 | $0.00061 | $0.08854 |
| Opus 5 | $0.00030 | $0.04427 |
| Sonnet 5 | $0.00012 | $0.01771 |
| Haiku 4.5 | $0.00006 | $0.00885 |
Grade A, and why
gitnexus-codebase-intelligence scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
len($(curl -L https://xon.sh)) How it starts
The opening of the file, as written. The whole thing — 1,035 lines — stays where its author put it; the contents beside it link to each section on GitHub.
gitnexus-codebase-intelligence
USE FOR:
- "understand codebase impact before editing"
- "find all callers / dependents of a symbol"
- "safe multi-file renaming"
- "git diff impact analysis"
- "MCP tool for codebase architecture understanding"
- "knowledge graph of code structure"
- "AI agent codebase context" tags: [MCP, codebase, knowledge-graph, Tree-sitter, symbol-search, impact-analysis, Claude-Code, Cursor, Cypher] kind: tool category: pro-code-architecture
What Is GitNexus?
Codebase intelligence platform — transforms repos into knowledge graphs for AI agents.
- Repo: https://github.com/abhigyanpatwari/GitNexus
- Web: gitnexus.vercel.app (no install)
- Integrations: Claude Code, Cursor, Windsurf, any MCP-compatible editor
- Privacy: 100% local — code never leaves your machine
"Building a nervous system for agent context"
Core Problem Solved
Traditional AI assistants don't know when edits break downstream dependencies. GitNexus precomputes architectural intelligence at index time → fast, accurate impact analysis at query time.
7 MCP Tools
| Tool | What It Does |
|---|---|
symbol_search |
BM25 + semantic hybrid search across codebase |
symbol_context |
360° view: incoming + outgoing relationships for any symbol |
impact_radius |
All code that depends on a given symbol |
git_diff_impact |
Map git diff → which symbols are affected + their dependents |
multi_file_rename |
Coordinated safe rename across all references |
graph_query |
Raw Cypher queries on the knowledge graph |
discover_symbols |
List all symbols by type (functions, classes, methods) |
Indexing Pipeline (6 Phases)
1. Structural mapping → directory tree, file relationships
2. AST parsing → Tree-sitter extracts symbols per language
3. Import/call resolve → link usages to definitions
4. Community cluster → group related modules
5. Execution flow trace → call chains, data flow paths
6. Hybrid search index → BM25 + vector embeddings
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.
- 4d ago First seen · 1,035 lines · 0 tokens per session scan A ec38359f0cf2
gitnexus-codebase-intelligence is a skill published in the GitHub repository mahmoud20138/Tradecraft (14 stars, last pushed 4mo ago), licensed MIT. It adds 61 tokens to every session and 8,854 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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