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 assetsgit 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/assets)<a href="https://agentmods.dev/skills/prismer-ai/prismercloud/assets"><img src="https://agentmods.dev/badge/skills/prismer-ai/prismercloud/assets.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 | $0.00069 | $0.01529 |
| Opus 5 | $0.00034 | $0.00764 |
| Sonnet 5 | $0.00014 | $0.00306 |
| Haiku 4.5 | $0.00007 | $0.00153 |
Grade A, and why
assets 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 7d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Assets
Workspace assets are content-addressed (SHA-256). Each asset has a stable URI, MIME type, size, and metadata. Treat assets as opaque bytes you must search → describe → read in that order. Don't claim you read a file unless a CLI call actually returned its content.
When to use
- The user references a file by name, path, or
prismer://...URI and you need its content. - A task description includes asset attachments — find them, inspect them, decide if you need to read bytes.
- You're answering a question that requires citing file evidence (extract text, quote a paragraph, summarize a doc).
- You need to find a file by hash, filename, or content keyword.
CLI Reference
Search
cloud asset list # everything in current workspace
cloud asset list --limit 20 --kind file
cloud asset list --filename "design-doc*" # filename glob
cloud asset list --mime "application/pdf" # by MIME
cloud asset list --updated-after "2026-05-01" # recency
cloud asset by-hash <sha256> # exact content lookup
Describe (metadata only, no bytes)
cloud asset get <assetId> # full metadata, no content
# OR for in-process MCP tools (when daemon exposes them):
# prismer.asset.describe { uri | assetId | contentHash }
Read (bounded ranges only)
cloud asset download <assetId> --out ./local-copy # whole file to disk
cloud asset download <assetId> --offset 0 --length 4096 # first 4 KB
# For LLM-friendly text extraction:
cloud asset read <assetId> --offset 0 --length 4096 # text range read
cloud asset read <assetId> --as-text # full text (for small text-like assets)
Upload / Sync
cloud asset upload ./report.pdf # → asset record + content hash
cloud asset upload ./report.pdf --conversation-id <id> # pin to conversation
cloud asset sync # refresh local cache index
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.
- 7d ago First seen · 132 lines · 69 tokens per session scan A 42f3f9575157
assets is a skill published in the GitHub repository Prismer-AI/PrismerCloud (1,410 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 1,529 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.
Other skills, from other repositories
recall
Recall this repository's OwnMem local memory before changing code, and keep it healthy. Use when a repository contains .ownmem/, when past debugging lessons could apply ("have we hit this before", "why is it done this way"), or when the user mentions ownmem, project memory, or recalling across sessions.
init
Install or update OwnMem in the current repository. Use when the user asks to set up OwnMem, add local project memory for coding agents, or refresh an existing OwnMem installation after a version bump.
docmancer
Work from the same local memory as every other coding agent on this machine. Recall prior decisions, preferences, instructions, and project conventions that Claude Code, Codex, Cursor, and other agents wrote here, with cited sources, fully local. Also searches a separate local technical-documentation index.
agent-prompts-warmup
Audit and sync agent instruction files across all coding agent formats. FRE (first-run) checks scaffolding completeness; ongoing use keeps files in sync after edits.
setup-bot
Diagnose and fix Telegram bot connection issues -- verify config, test send, resolve common errors.
Docker Compose Generator
Generates production-ready docker-compose.yml files for any application stack.