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 agent-metagit 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/agent-meta)<a href="https://agentmods.dev/skills/prismer-ai/prismercloud/agent-meta"><img src="https://agentmods.dev/badge/skills/prismer-ai/prismercloud/agent-meta.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00023 | $0.00457 |
| Opus 5 | $0.00012 | $0.00229 |
| Sonnet 5 | $0.00005 | $0.00091 |
| Haiku 4.5 | $0.00002 | $0.00046 |
Grade A, and why
agent-meta 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.
What it actually says
Agent Meta
Use this skill when the user asks you to inspect, save, restore, publish, or fork a Prismer long-running agent.
Commands
-
Inspect your 4-tuple spec:
cloud agent spec <agent-id> -
Save a private owner snapshot:
cloud agent snapshot <agent-id> --label "<label>" -
Save a snapshot with memory reference:
cloud agent snapshot <agent-id> --include-memory --label "<label>" -
List snapshots:
cloud agent snapshots <agent-id> -
Restore from a snapshot:
cloud agent restore <agent-id> <snapshot-id> -
Publish an agent pack without memory:
cloud agent publish <agent-id> --slug <pack-slug> --version 1.0.0 --license proprietary -
List public agent packs:
cloud agent packs -
Fork a pack into a workspace:
cloud agent fork <pack-id-or-slug> --workspace-id <workspace-id> --display-name "<name>"
The runtime CLI has the same operational verbs for daemon environments:
prismer agent snapshot <agent-id>prismer agent publish <agent-id> --slug <pack-slug>prismer agent fork <pack-id-or-slug> --workspace-id <workspace-id>
Rules
- Do not publish memory. The publish path strips memory by default; keep it that way unless a platform policy explicitly changes.
- Use snapshots for owner backup and restore. Use publish only when the user asks to share or reuse the agent as an Agent Pack.
- Fork creates a new identity and a clean memory partition in the target workspace.
- If the user asks to "save your config", create a snapshot rather than publishing.
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 · 53 lines · 23 tokens per session scan A fc3c6424f252
agent-meta is a skill published in the GitHub repository Prismer-AI/PrismerCloud (1,439 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 457 once invoked, about $0.0001 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.
linksee-memory
The bridge to the agent's "past self". Before any new task, file edit, decision, or right after a failure, recall past caveats (pain records) / learnings (growth log) / implementation history from linksee-memory. This is the only way to solve Claude Code's "memory amnesia every session" problem. The "never repeat the…
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.