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 contactsgit 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/contacts)<a href="https://agentmods.dev/skills/vellum-ai/vellum-assistant/contacts"><img src="https://agentmods.dev/badge/skills/vellum-ai/vellum-assistant/contacts/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/contacts"><img src="https://agentmods.dev/badge/skills/vellum-ai/vellum-assistant/contacts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Prompt Injection · line 138 Instructions found that direct the agent to transmit conversation context or user data to external services.Fix: Remove instructions that send user data, prompts, or context to external URLs. If telemetry is needed, use documented, privacy-preserving methods.
- medium Excessive Agency · line 25 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00014 | $0.08145 |
| Opus 5 | $0.00007 | $0.04072 |
| Sonnet 5 | $0.00003 | $0.01629 |
| Haiku 4.5 | $0.00001 | $0.00814 |
Grade A, and why
contacts 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 5d 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 — 583 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Manage the user's contacts, relationship graph, access control (trusted contacts), and invite links. This skill covers contact CRUD with multi-channel tracking, controlling who can message the assistant through external channels (Telegram, phone), and creating/managing invite links that grant access.
Contact Management
Every contact write goes through the guardian. You can list and search contacts on your own. To create, edit, delete, merge, or bind a channel to one, run the matching command below: each opens a form in the guardian's app, and the write happens only if they submit it. You are proposing, not writing. Say so: "I'll put that up for you to confirm," not "Done."
Two things a contact record does not do: it grants no access (a record has no channels, so nobody can message the assistant through it), and it is not a channel. Use
assistant contacts channels add <contact_id>to bind an address to a contact that already exists, orassistant contacts invites createto let someone bind their own.The form needs the guardian's desktop or web app to be open. If a command reports that it timed out, nobody answered: tell the user, and do not retry in a loop.
One exception you must not take: the
contact_mergetool writes immediately, with no confirmation. Useassistant contacts mergeinstead, so the guardian sees what is being combined before the donor record is deleted.A form the guardian closes without answering is not a failure. The command prints
Cancelled: nothing was written, exits 130, and writes nothing. Report that as "the guardian did not confirm", not as an error, and do not retry in a loop.
Create a contact
assistant contacts create --name "Alice" --json
Opens an add-contact form prefilled with what you pass. The guardian can edit the name and notes before submitting, so treat the result as theirs, not yours: read the command's output rather than assuming the values you proposed were the ones written.
What ships with it
4 files 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.
- 5d ago Changed · +50 lines d32a898db0fa
- 8d ago Changed · +43 lines d05c59f82a16
- 10d ago First seen · 490 lines · 14 tokens per session scan A 8dd93ed4ba48
contacts is a skill published in the GitHub repository vellum-ai/vellum-assistant (1,225 stars, last pushed today), licensed MIT. It adds 14 tokens to every session and 8,145 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
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.