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 run-llama/llamaparse-agent-plugins --skill llamacloud-indexgit clone --depth 1 https://github.com/run-llama/llamaparse-agent-pluginsWrote 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/run-llama/llamaparse-agent-plugins/llamacloud-index)<a href="https://agentmods.dev/skills/run-llama/llamaparse-agent-plugins/llamacloud-index"><img src="https://agentmods.dev/badge/skills/run-llama/llamaparse-agent-plugins/llamacloud-index/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/skills/run-llama/llamaparse-agent-plugins/llamacloud-index"><img src="https://agentmods.dev/badge/skills/run-llama/llamaparse-agent-plugins/llamacloud-index.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 | $0.00085 | $0.02040 |
| Opus 5 | $0.00043 | $0.01020 |
| Sonnet 5 | $0.00017 | $0.00408 |
| Haiku 4.5 | $0.00009 | $0.00204 |
Grade A, and why
llamacloud-index 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 10d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LlamaCloud Index v2 — Agentic Retrieval Guide
Answer questions from documents stored in Index v2, the managed knowledge base of the LlamaParse Platform, using the Index v2 tools exposed by the LlamaParse MCP server.
Index v2 is built for agentic retrieval: beyond semantic search, it gives you file-system-like access to the underlying documents (PDFs, Office documents, images, and other unstructured files). This skill is about using that access well — navigating the index the way you would a file system, instead of firing a single one-shot RAG query and hoping the top results contain the answer.
Authentication
All tools require a valid session. The MCP server uses OAuth — no API key is needed, and authentication happens in the MCP client on first use. If a tool call returns an authentication error, ask the user to re-authenticate before retrying. Do not retry automatically without prompting the user.
The Tools
| Tool | What it does | Key inputs |
|---|---|---|
getUserProjects |
Lists the project IDs associated with your account | — |
listIndexes |
Lists the indexes you can query — vector-indexed directories whose files you can find, read, and grep, and over which you can perform retrieval | projectId (optional) |
findFilesInIndex |
Locates files within an index by exact name or name substring | fileNameContains (substring match, recommended) or fileName (exact match) |
readFileFromIndex |
Reads the content of a file in an index — the whole file, or a window of it | fileId, offset (chars), maxLength (chars) |
grepFileFromIndex |
Greps a file's content for a pattern | fileId, pattern, contextChars (context around each match), limit (max matches) |
retrieveFromIndex |
Performs hybrid (sparse + dense) retrieval over an index | query, topK (default 10), rerankTopN (enables reranking; off if omitted) |
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.
- 10d ago First seen · 90 lines · 85 tokens per session scan A d600fe17a7a4
llamacloud-index is a skill published in the GitHub repository run-llama/llamaparse-agent-plugins (3 stars, last pushed 27d ago), licensed MIT. It adds 85 tokens to every session and 2,040 once invoked, about $0.0004 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 2026-08-31.
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