Vellum Assistant is a personal AI assistant that remembers information about users, learns their preferences, and takes actions across connected apps. It is intended for people who want an assistant that can manage conversations, unfinished work, and proactive notifications over time. The catalogue skills, hooks, instruction, and setting configure or extend how the assistant works.
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 vellum-ai/vellum-assistant --skill vellum-self-knowledgegit clone --depth 1 https://github.com/vellum-ai/vellum-assistantWrote 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/vellum-ai/vellum-assistant/vellum-self-knowledge)<a href="https://agentmods.dev/skills/vellum-ai/vellum-assistant/vellum-self-knowledge"><img src="https://agentmods.dev/badge/skills/vellum-ai/vellum-assistant/vellum-self-knowledge/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/vellum-ai/vellum-assistant/vellum-self-knowledge"><img src="https://agentmods.dev/badge/skills/vellum-ai/vellum-assistant/vellum-self-knowledge.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00025 | $0.02208 |
| Opus 5 | $0.00013 | $0.01104 |
| Sonnet 5 | $0.00005 | $0.00442 |
| Haiku 4.5 | $0.00003 | $0.00221 |
Grade A, and why
vellum-self-knowledge 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 today.
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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Critical Rule
Never answer from memory or general knowledge about Vellum. Always go to a source of truth. This skill contains zero static information — only pointers to where the truth lives.
Sources of Truth
1. The assistant CLI — Live Runtime State
The CLI is the single source of truth for anything about the running assistant's current state.
| Question type | Command |
|---|---|
| Current model, provider, config | assistant config get llm |
| Full config | assistant config list |
| Config schema (what's configurable) | assistant config schema [path] |
| Available/installed skills | assistant skills list --json |
| Platform connection | assistant platform status --json |
| Balance, plan credit left/used, extra credit, expiry, daily limit | assistant platform credits --json |
| Plan, subscription status, billing cycle boundary | assistant platform subscription --json |
| Plan catalog and pricing | assistant platform plans --json |
| Invoices | assistant platform invoices list --json |
| Auth/identity | assistant auth info --json |
| Which providers exist, and in which sense | assistant oauth providers list --json |
| Whether one is actually connected | assistant oauth status <provider> |
| Channel delivery health | assistant channels list |
| Connected clients | assistant clients list --json |
| Trust rules | assistant trust list |
| Stored credentials | assistant credentials list |
| API keys | assistant keys list |
| MCP servers | assistant mcp list |
| Watchers | assistant watchers list |
| Token usage/costs | assistant usage totals / assistant usage breakdown --group-by provider |
| Version | assistant --version |
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.
- today Changed · +2 lines be0f0ef30e25
- 3d ago Changed · +11 lines e5a2d39390d0
- 9d ago Changed · +17 lines · +1 tokens per session 30d23c363583
- 9d ago First seen · 140 lines · 24 tokens per session scan A e71068d04a28
vellum-self-knowledge is a skill published in the GitHub repository vellum-ai/vellum-assistant (1,234 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 2,208 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 2026-09-03.
Other skills, from other repositories
lictor-security-check
Pre-release security audit for ANY project — AI-built or hand-written, web or mobile. Scans the codebase for the full range of real-world risks that get apps breached: leaked API & AI-provider keys, exposed configs/secrets, broken auth & access control (IDOR), injection (SQL/XSS/command), SSRF, open databases & cloud…
lictor-rotate
Walks the user through rotating a leaked API key — step by step, provider-specific. Knows the exact URL to visit, the exact button to click, and how to verify the rotation worked. Supports Stripe, OpenAI, Anthropic, Google Cloud / AI Studio, GitHub, AWS, Slack, Supabase, Firebase, Postmark, and generic OAuth providers.
lictor-explain
Takes any security finding, error message, or jargon-heavy security advice and explains it in plain English. Use this when someone is confused by what /lictor-security-check found, or when they got a security warning from another tool and don't understand it.
lictor-fix-it
Applies the fixes recommended by /lictor-security-check, with the user's explicit permission for each change. Walks through findings one at a time, shows the proposed change, gets approval, applies, runs tests if available, and moves on. Some fixes (rotating leaked credentials) require the user to act outside Claude …
continual-learning
Nightly refinement of an existing per-repo review-style prompt using this reviewer's own finding outcomes. Read confirmed (resolved-by-commit / thumbs-up) and dismissed (thumbs-down) findings, promote the bug patterns the team actually fixes, demote the false-positive patterns, reconcile against the current prompt…
ha-logs
A read-only troubleshooting skill for querying Hope Agent’s local SQLite databases, which store logs, conversations, and background-job status.