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 skills add juspay/neurolink --skill neurolink-guidegit clone --depth 1 https://github.com/juspay/neurolinkWrote 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/juspay/neurolink/neurolink-guide)<a href="https://agentmods.dev/skills/juspay/neurolink/neurolink-guide"><img src="https://agentmods.dev/badge/skills/juspay/neurolink/neurolink-guide.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 130 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00065 | $0.01232 |
| Opus 5 | $0.00032 | $0.00616 |
| Sonnet 5 | $0.00013 | $0.00246 |
| Haiku 4.5 | $0.00006 | $0.00123 |
Grade A, and why
neurolink-guide 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 8d 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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NeuroLink Usage Guide
NeuroLink is an enterprise AI development platform providing unified access to 30+ AI providers (text, voice, multimodal) through a single API. It ships as both a TypeScript SDK (@juspay/neurolink) and a professional CLI.
Quick Navigation
Based on your query, I'll guide you to the right documentation:
- Getting Started → Read sdk-quickstart.md
- Provider Setup → Read providers.md
- Multimodal (images, PDFs, files) → Read multimodal.md
- MCP Tools Integration → Read tools-mcp.md
- RAG Pipelines → Read rag-integration.md
- Conversation Memory → Read memory-conversations.md
- CLI Commands → Read cli-reference.md
- Advanced Features → Read advanced-features.md
- Troubleshooting → Read troubleshooting.md
Topic Routing
If the user asked about $ARGUMENTS:
| Topic Keywords | Reference File |
|---|---|
| install, setup, start, begin, quickstart | sdk-quickstart.md |
| provider, openai, anthropic, vertex, bedrock, azure, gemini, claude, model | providers.md |
| image, pdf, csv, excel, document, file, multimodal, vision | multimodal.md |
| tool, mcp, server, GitHub, external, function | tools-mcp.md |
| rag, retrieval, chunk, vector, embed, document search | rag-integration.md |
| memory, conversation, history, session, redis, context | memory-conversations.md |
| cli, command, terminal, generate, stream, loop, serve | cli-reference.md |
| hitl, workflow, agent, observe, telemetry, deploy, server | advanced-features.md |
| error, issue, problem, fix, debug, not working | troubleshooting.md |
Installation
What ships with it
14 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- advanced-features.md 12 KB
- cli-reference.md 9.3 KB
- memory-conversations.md 6.1 KB
- multimodal.md 8.2 KB
- providers.md 9.1 KB
- rag-integration.md 10 KB
- sdk-quickstart.md 6.8 KB
- templates/basic-setup.ts 2.7 KB runs code
- templates/rag-pipeline.ts 6.7 KB runs code
- templates/server-deploy.ts 9.0 KB runs code
- templates/streaming.ts 4.7 KB runs code
- templates/with-tools.ts 7.5 KB runs code
- tools-mcp.md 8.8 KB
- troubleshooting.md 9.1 KB
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.
- 8d ago First seen · 164 lines · 65 tokens per session scan A bd2f97c0ba89
neurolink-guide is a skill published in the GitHub repository juspay/neurolink (130 stars, last pushed today), licensed MIT. It adds 65 tokens to every session and 1,232 once invoked, about $0.0003 per session on Opus 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.
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