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 skill-authoringgit 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/skill-authoring)<a href="https://agentmods.dev/skills/prismer-ai/prismercloud/skill-authoring"><img src="https://agentmods.dev/badge/skills/prismer-ai/prismercloud/skill-authoring.svg" alt="Measured on agentmods" 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 85 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 | $0.00108 | $0.01685 |
| Opus 5 | $0.00054 | $0.00843 |
| Sonnet 5 | $0.00022 | $0.00337 |
| Haiku 4.5 | $0.00011 | $0.00169 |
Grade A, and why
skill-authoring 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`.sh` using curl) that performs the API call. Read inputs from argv / env; How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Authoring (Prismer)
You generate Prismer-standard skill drafts. You do NOT publish — that's a separate
lifecycle step the user reviews via Studio Authoring (/evolution → Studio → Authoring).
Pipeline
- Capture intent — clarify slug / name / trigger phrases / input-output / source kind.
The four valid source kinds are:
inline-spec— extract from the active conversation contextdoc-url— fetch markdown / OpenAPI / README from a URLcode-source— grep existing repo paths and bundle matched snippetsservice-endpoint— probe an HTTP / MCP server's tool/endpoint catalog
- Fetch sources — based on source kind:
inline-spec: extract directly from the chat history; do not call outdoc-url:cloud load <url>→ returns compressed reference text (positional URL arg — there is NO--urlflag)code-source:cloud code grep <pattern> --repo <abs-path>→ returns matched snippets to bundle asreferences/*service-endpoint:cloud service introspect <url>→ returns tool / endpoint list to translate into a SKILL.md workflow
- Compose manifest v1 — write:
SKILL.md(frontmattername/description/license/compatibility+ a body that follows Anthropic skill-creator's progressive-disclosure pattern)skill.json(structuredSkillPackageSpec— see release201/07 §2.6)- Optional
scripts/,references/,assets/
- Submit draft —
cloud skill draft create --slug <slug> --manifest <path>which callsPOST /api/im/skills/draft. The cloud server runs the 7 validation gates and returns{ id, slug, manifestRevision, reviewTaskId }on success. - Report draft id — surface the draft id back to the user; do NOT auto-publish.
Scenario 1 — API doc / URL → skill + callable script + auto tests
This is the canonical, quantifiable path (release201/24). When the user gives you an API document, an OpenAPI/Swagger spec, or a doc URL and asks to "make this a skill", produce a draft that can be VERIFIED by real dispatch — not just prose. Generate ALL of:
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 125 lines · 108 tokens per session scan A 3e3c2841fa07
skill-authoring is a skill published in the GitHub repository Prismer-AI/PrismerCloud (1,439 stars, last pushed 1mo ago), licensed MIT. It adds 108 tokens to every session and 1,685 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
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.