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-skills --skill llamacloud-indexgit clone --depth 1 https://github.com/run-llama/llamaparse-agent-skillsWrote 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-skills/llamacloud-index)<a href="https://agentmods.dev/skills/run-llama/llamaparse-agent-skills/llamacloud-index"><img src="https://agentmods.dev/badge/skills/run-llama/llamaparse-agent-skills/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-skills/llamacloud-index"><img src="https://agentmods.dev/badge/skills/run-llama/llamaparse-agent-skills/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 | $0.00071 | $0.02225 |
| Opus 5 | $0.00036 | $0.01112 |
| Sonnet 5 | $0.00014 | $0.00445 |
| Haiku 4.5 | $0.00007 | $0.00222 |
Grade B, and why
llamacloud-index scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -s "${AUTH[@]}" -X POST "$LLAMA_BASE/retrieval/retrieve" -d '{ Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
description: Use this skill whenever a question should be answered from documents stored in a LlamaCloud Index v2 knowledge base — retrieving passages, locating indexed files, or searching indexed content through the Lla How it starts
The opening of the file, as written. The whole thing — 123 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. Every operation is a single authenticated HTTP call, so from a shell the cheapest interface is curl + jq: you can compose calls, batch independent lookups into one command, and bound exactly how much output enters the conversation.
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.
Setup
export LLAMA_BASE="https://api.cloud.llamaindex.ai/api/v1" # EU accounts: https://api.cloud.eu.llamaindex.ai/api/v1
AUTH=(-H "Authorization: Bearer $LLAMA_CLOUD_API_KEY" -H "Content-Type: application/json")
If a call returns 401/403, ask the user to check LLAMA_CLOUD_API_KEY (and the region) — do not retry in a loop.
The API
| Operation | Call | Key body fields |
|---|---|---|
| List indexes | GET /indexes |
— |
| Retrieve passages | POST /retrieval/retrieve |
index_id, query, top_k, rerank ({enabled, top_n}, enabled by default), score_threshold, static_filters, custom_filters |
| Find files | POST /retrieval/files/find |
index_id, file_name_contains (substring, recommended) or file_name (exact) |
| Grep a file | POST /retrieval/files/grep |
index_id, file_id, pattern (regex), context_chars |
| Read a file | POST /retrieval/files/read |
index_id, file_id, offset, max_length (chars; omit for full file) |
file_id values come from the find and retrieve responses. Full parameter reference: retrieval · file operations.
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.
- 12d ago First seen · 123 lines · 71 tokens per session scan B 99a769e3a822
llamacloud-index is a skill published in the GitHub repository run-llama/llamaparse-agent-skills (78 stars, last pushed 2mo ago), licensed MIT. It adds 71 tokens to every session and 2,225 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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