Borrowing it
Nothing to install: this file belongs to NimbleBrainInc/synapse-research. 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/NimbleBrainInc/synapse-research/main/CLAUDE.mdgit clone --depth 1 https://github.com/NimbleBrainInc/synapse-researchWrote 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/nimblebraininc/synapse-research/claude-md)<a href="https://agentmods.dev/instructions/nimblebraininc/synapse-research/claude-md"><img src="https://agentmods.dev/badge/instructions/nimblebraininc/synapse-research/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/nimblebraininc/synapse-research/claude-md"><img src="https://agentmods.dev/badge/instructions/nimblebraininc/synapse-research/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 | $0.02353 | $0.02353 |
| Opus 5.5 | $0.00941 | $0.00941 |
| Sonnet 5.5 | $0.00471 | $0.00471 |
| Haiku 4.5 | $0.00235 | $0.00235 |
Grade C, and why
synapse-research CLAUDE.md scanned grade C 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 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf deps/ && uv pip install --target ./deps . How it starts
The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
synapse-research
Deep-research MCP app with a task-augmented tool that runs GPT-Researcher under the hood. Two-project architecture: Python MCP server (FastMCP) + React/Vite UI (Synapse SDK).
Architecture
synapse-research/
├── src/mcp_research/ Python MCP server (FastMCP)
│ ├── server.py Tool registration, orphan reaper, ui:// resource
│ └── worker.py run_research + _MCPLogHandler (GPT-Researcher wrapper)
├── schemas/ Upjack entity JSON schemas
│ └── research_run.schema.json
├── skills/ Natural-language skill definitions bundled with the app
│ └── research-runs/SKILL.md
├── ui/ React + Vite project (Synapse SDK)
│ ├── src/App.tsx Live dashboard of runs via useDataSync
│ ├── vite.config.ts synapseVite() plugin for dev
│ └── dist/index.html Built single-file bundle
└── tests/ pytest-asyncio suite — keyless (FakeGPTR fixture)
How it connects: start_research is registered as a task-augmented MCP tool (execution.taskSupport: "optional"). The worker wraps GPT-Researcher and streams progress through two channels in lockstep — ctx.report_progress for the MCP task status stream (drives the chat UI), and app.update_entity for the Upjack entity store (drives the Synapse sidebar dashboard).
Commands
# Install server deps
uv sync
# Install UI deps + build
cd ui && npm install && npm run build && cd ..
# Run tests (keyless — no API keys required)
uv run pytest tests/ -v
# Lint + typecheck + format check
uv run ruff check src/ tests/
uv run ruff format --check src/ tests/
uv run ty check src/
# Run stdio (Claude Desktop, mpak, any MCP client)
uv run python -m mcp_research.server
# Run HTTP (NimbleBrain platform)
uv run uvicorn mcp_research.server:app --port 8002
# Build deps/ for mpak bundling (regenerates 460+ vendored packages)
rm -rf deps/ && uv pip install --target ./deps .
# Bump version across manifest.json, pyproject.toml, __init__.py
make bump VERSION=0.2.0
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 · 160 lines · 2,353 tokens per session scan C cb08d05e5721
synapse-research CLAUDE.md is an instructions file published in the GitHub repository NimbleBrainInc/synapse-research (0 stars, last pushed 5mo ago), licensed MIT. It adds 2,353 tokens to every session, about $0.0094 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
synapse-research CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| synapse-research CLAUDE.mdNimbleBrainInc/synapse-research | Instructions file | 0 | 5mo ago | MIT | C | 2,353 | 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 |