Prismer Cloud is an infrastructure layer for AI agents that provides shared learning, compressed context, persistent memory, collaboration, messaging, tasks, identity, and workspaces. It is for agents and the people building or using long-running agent systems that need information and outcomes to persist across sessions. The catalogue entries provide skills, hooks, agents, instructions, and a plugin for using Prismer Cloud.
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 Prismer-AI/PrismerCloud --skill liteparsegit clone --depth 1 https://github.com/Prismer-AI/PrismerCloudWrote 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/prismer-ai/prismercloud/liteparse)<a href="https://agentmods.dev/skills/prismer-ai/prismercloud/liteparse"><img src="https://agentmods.dev/badge/skills/prismer-ai/prismercloud/liteparse/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/prismer-ai/prismercloud/liteparse"><img src="https://agentmods.dev/badge/skills/prismer-ai/prismercloud/liteparse.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Agent Snooping · line 14 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00090 | $0.01835 |
| Opus 5 | $0.00045 | $0.00918 |
| Sonnet 5 | $0.00018 | $0.00367 |
| Haiku 4.5 | $0.00009 | $0.00184 |
Grade A, and why
liteparse scanned grade A with 1 finding 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`curl -sL <url> -o file` then parse the local copy, or route to How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LiteParse (local-first document parsing)
LiteParse is a standalone OSS parser (Rust core, PDFium + Tesseract + LibreOffice) that turns documents into text the model can read — fully local, zero cloud dependency, works with no network. It is the daemon's local-first document-parsing path.
Upstream:
run-llama/liteparse
- skill
run-llama/llamaparse-agent-skills. Apache-2.0 (core) / MIT (skill), © LlamaIndex. Vendored as a Prismer built-in; the CLI (lit) self-installs on first use (see below).
Scope — liteparse vs ingest
Two document paths coexist; pick by network + fidelity needs:
liteparse(this skill) — local-first. Local document files → Markdown / JSON / screenshots, fully offline, zero cost, zero cloud. Covers PDF, Word, PowerPoint, spreadsheets, images. Built-in Tesseract OCR for clean scans; LibreOffice for Office formats. Default for: files already on disk, offline / cloud-unreachable situations, digital PDFs, quick extraction, bounding boxes, page screenshots.ingest(sibling skill) — cloud-backed.cloud load/cloud searchfor web URLs (HQCC compression) andcloud parsefor hi-res OCR of scans / handwriting / dense tables. Use when: the source is a web page (liteparse can't fetch URLs), or local parsing quality is insufficient (dense tables, multi-column, handwriting, low-quality scans).
Decision rule: local file → try liteparse first (free, offline,
fast). Escalate to ingest's cloud parse -m hires only when local
fidelity falls short. Web URL / search → ingest (liteparse parses
local files and stdin, not remote pages — if you only have a URL,
curl -sL <url> -o file then parse the local copy, or route to
ingest).
When local parsing is low-confidence (empty pages, garbled OCR),
flag the region and consider escalating to ingest; never invent
content.
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.
- 9d ago First seen · 157 lines · 90 tokens per session scan A 13146dc9f970
liteparse is a skill published in the GitHub repository Prismer-AI/PrismerCloud (1,439 stars, last pushed 1mo ago), licensed MIT. It adds 90 tokens to every session and 1,835 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
work-markitdown
A document conversion tool that turns files such as Word documents, PDFs, PowerPoint presentations, spreadsheets, images, HTML, and CSV files into Markdown. Markdown is plain text with simple symbols for headings, lists, and other structure.
markitdown
A local document-conversion guide built around MarkItDown, a tool that turns files such as DOCX, PDF, PPTX, XLSX, images, HTML, and CSV into Markdown text.
markitdown
Convert files, URLs, and documents to Markdown using the markitdown MCP server. Activate when the user asks to convert, extract, or read content from PDFs, Word docs, PowerPoints, spreadsheets, images, audio files, or any URL.
vision-augment
A visual and document-analysis service for agents that cannot directly understand images. It can inspect pictures, read text with OCR, and parse documents such as PDF, Word, PowerPoint, spreadsheet, and HTML files.
PDF → spreadsheet — extract data into Excel (Local MCP)
Use when the user wants to pull data out of one or more PDFs (invoices, bank/credit-card statements, receipts, reports, tables) and put it into a spreadsheet. pdfread is one of the most-used tools; this codifies the read-PDF → structure → write-Excel workflow. Powered by Local MCP, on-device.
extract-rental-applications-to-spreadsheet
Extract applicant details from rental application PDFs and generate a side-by-side XLSX for comparing income, employment, and move-in dates.