Borrowing it
Nothing to install: this file belongs to ramdhavepreetam/NervaPack. 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/ramdhavepreetam/NervaPack/master/CLAUDE.mdgit clone --depth 1 https://github.com/ramdhavepreetam/NervaPackWrote 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/ramdhavepreetam/nervapack/claude-md)<a href="https://agentmods.dev/instructions/ramdhavepreetam/nervapack/claude-md"><img src="https://agentmods.dev/badge/instructions/ramdhavepreetam/nervapack/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/ramdhavepreetam/nervapack/claude-md"><img src="https://agentmods.dev/badge/instructions/ramdhavepreetam/nervapack/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 | $0.01376 | $0.01376 |
| Opus 5.5 | $0.00550 | $0.00550 |
| Sonnet 5.5 | $0.00275 | $0.00275 |
| Haiku 4.5 | $0.00138 | $0.00138 |
Grade B, and why
NervaPack CLAUDE.md scanned grade B with 2 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
`sudo -u preetam`; and `brew audit <path>` is disabled, so audit by name Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`curl -s https://pypi.org/pypi/nervapack/<version>/json` and verify it against How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NervaPack — Claude Code Instructions
Always use NervaPack MCP tools
At the start of every session:
- Call
memory_start_session("<task name>")to open a named session - Call
memory_recall("project context", budget_tokens=400)to load prior decisions and facts - Call
query_codebase("<topic>")before answering any question about how the code works
During the session — call memory_store for:
- Any decision made (
kind="decision"withrationaleandalternatives_rejected) - Any fact discovered about system behaviour (
kind="fact") - Any procedure or convention established (
kind="procedure") - Any outcome from an action (
kind="outcome")
At session end:
- Call
memory_end_session("<one-paragraph summary of what was done>")
Never answer questions about this codebase from training data alone.
Always call query_codebase first — it returns AST-precise, token-efficient context from the live graph.
MCP servers available
| Server | Command | Purpose |
|---|---|---|
nervapack |
nervapack-mcp |
Code graph — query_codebase, graph_status, list_entities |
nervapack-memory |
nervapack-memory-mcp |
Agent memory — 17 tools for storing and recalling decisions/facts |
Project essentials
- Version: v0.8.1 (source of truth is
versioninpyproject.toml) - DB:
.nervapack/memory.db(SQLite, auto-resolved from cwd) - Graph:
.nervapack/graph.graphml(reingest withnervapack ingest .when source changes) - Tests:
python3 -m pytest tests/memory/ -q— must stay green before any commit - Docs:
python3 -m mkdocs build --strict— must build clean before any commit - Publish:
python3 -m build && python3 -m twine upload dist/nervapack-<version>*Nevertwine upload dist/*—dist/keeps every previously built version, and re-uploading one PyPI already has aborts the whole command. Always name the version. - MCP Registry:
io.github.ramdhavepreetam/nervapack(published, active)
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 Changed 203d11823690
- 2mo ago First seen · 79 lines · 1,376 tokens per session scan B 7f42b3693db8
NervaPack CLAUDE.md is an instructions file published in the GitHub repository ramdhavepreetam/NervaPack (1 stars, last pushed 1mo ago), licensed MIT. It adds 1,376 tokens to every session, about $0.0055 per session on Opus 5.5. A static security scan graded it B with 2 findings (asks for root, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
NervaPack CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| NervaPack CLAUDE.mdramdhavepreetam/NervaPack | Instructions file | 1 | 1mo ago | MIT | B | 1,376 | 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 |