Borrowing it
Nothing to install: this file belongs to ConflictHQ/navegador. 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/ConflictHQ/navegador/main/CLAUDE.mdgit clone --depth 1 https://github.com/ConflictHQ/navegadorWrote 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/conflicthq/navegador/claude-md)<a href="https://agentmods.dev/instructions/conflicthq/navegador/claude-md"><img src="https://agentmods.dev/badge/instructions/conflicthq/navegador/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/conflicthq/navegador/claude-md"><img src="https://agentmods.dev/badge/instructions/conflicthq/navegador/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 | $0.01057 | $0.01057 |
| Opus 5.5 | $0.00423 | $0.00423 |
| Sonnet 5.5 | $0.00211 | $0.00211 |
| Haiku 4.5 | $0.00106 | $0.00106 |
Grade A, and why
navegador 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 5d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Navegador — Claude Context
Primary conventions doc: bootstrap.md — read it before writing any code.
What it is
AST + knowledge graph context engine for AI coding agents. Parses codebases into a FalkorDB property graph. Agents query via MCP or Python API.
Stack
- Python 3.12+, standalone (no Django dependency)
- tree-sitter for multi-language AST parsing (13 languages)
- FalkorDB graph DB with falkordblite (embedded via redislite; graph file is a Redis RDB snapshot, not SQLite) for local use
- MCP (
mcpPython SDK) for AI agent integration (25 tools) - Click + Rich for CLI
- Pydantic for data models
- Ruff for linting/formatting
Package layout
navegador/
cli/ — Click commands (50+ subcommands)
graph/ — GraphStore + schema + queries + migrations + export + mimwell-kg/v1 interchange + transfer (store-to-store copy)
ingestion/ — RepoIngester + 13 language parsers + optimization
context/ — ContextLoader + ContextBundle (JSON/markdown)
mcp/ — MCP server with 25 tools + security hardening
enrichment/ — FrameworkEnricher base + 8 framework enrichers
analysis/ — impact, flow tracing, dead code, cycles, test mapping
intelligence/ — semantic search, community detection, NLP, doc generation
cluster/ — Redis pub/sub, task queue, locking, sessions, messaging, shard load/unload
federation.py — SuperGraphAggregator (repo graphs → central super-graph)
sdk.py — Python SDK (Navegador class)
llm.py — LLM provider abstraction (Anthropic, OpenAI, Ollama)
vcs.py — VCS abstraction (Git, Fossil)
diff.py — Git diff → graph impact mapping
churn.py — Behavioural coupling from git history
monorepo.py — Workspace detection + ingestion
security.py — Sensitive content detection + redaction
config.py — Layered storage resolution (flags > env > project > user > default)
server.py — Native FalkorDB server lifecycle (no Docker)
inventory.py — Project discovery + stranded-graph detection
manual.py — Packaged docs, offline + over MCP
docs/ — mkdocs sources, shipped inside the wheel
explorer/ — HTTP server + browser-based graph visualization
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.
- 5d ago Changed · +1 tokens per session 4a6ee5e5be39
- 2mo ago First seen · 106 lines · 1,056 tokens per session scan A 8fad62e57201
navegador CLAUDE.md is an instructions file published in the GitHub repository ConflictHQ/navegador (11 stars, last pushed 6d ago), licensed MIT. It adds 1,057 tokens to every session, about $0.0042 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.
navegador CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| navegador CLAUDE.mdConflictHQ/navegador | Instructions file | 11 | 6d ago | MIT | A | 1,057 | 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 |