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 commands/ramdhavepreetam/nervapack/servegit 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/commands/ramdhavepreetam/nervapack/serve)<a href="https://agentmods.dev/commands/ramdhavepreetam/nervapack/serve"><img src="https://agentmods.dev/badge/commands/ramdhavepreetam/nervapack/serve.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 5.1 | $0.00000 | $0.00523 |
| Opus 5 | $0.00000 | $0.00262 |
| Sonnet 5 | $0.00000 | $0.00105 |
| Haiku 4.5 | $0.00000 | $0.00052 |
Grade A, and why
serve 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
nervapack serve
Launch an interactive web dashboard for your knowledge graph — graph health, query analytics, code hotspots, and graph evolution, all in one place.
Synopsis
nervapack serve [OPTIONS]
Options
| Option | Default | Description |
|---|---|---|
--port N / -p N |
8501 |
Port to run the dashboard on |
--no-browser |
off | Don't open the browser automatically |
Requirements
The dashboard requires optional dependencies:
pip install "nervapack[dashboard]"
# or:
pip install streamlit plotly pandas
Examples
# Launch on default port, open browser
nervapack serve
# Custom port
nervapack serve --port 8080
# Headless (server environments, CI)
nervapack serve --no-browser
Dashboard Tabs
Overview
- Health score (0–100) with colour indicator
- Total nodes, edges, doc coverage cards
- Language distribution bar chart
- Most connected files table
Analytics
- Node type and edge type pie charts
- Degree distribution histogram
Query History
- Aggregate token savings and cost metrics
- Top queried keywords
- Recent query log (requires prior
nervapack queryruns)
Graph Explorer
- Node search (by name, type, or file path)
- Graph density and orphaned node count
Hotspots (v0.5.3+)
- Files ranked by commit frequency or total churn
- Time-window filter (All time / 1 year / 6 months / 3 months / 1 month)
- Interactive Plotly bar chart + table
Graph Evolution (v0.5.3+)
- Node and edge count over time (recorded per
ingest/sync) - Health score and documentation coverage trends
- Sync log table (newest first)
!!! note "Evolution tab"
The Graph Evolution timeline is empty on first launch. Snapshots are
recorded automatically every time you run nervapack ingest or
nervapack sync. The chart fills in as you use NervaPack.
Related commands
nervapack hotspots— CLI view of code hotspotsnervapack history— CLI view of query history
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 First seen · 94 lines · 0 tokens per session scan A 3ced27cc6ffb
serve is a command published in the GitHub repository ramdhavepreetam/NervaPack (1 stars, last pushed 12d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 523 tokens. 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.