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 skill-managementgit 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/skill-management)<a href="https://agentmods.dev/skills/vellum-ai/vellum-assistant/skill-management"><img src="https://agentmods.dev/badge/skills/vellum-ai/vellum-assistant/skill-management/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/skill-management"><img src="https://agentmods.dev/badge/skills/vellum-ai/vellum-assistant/skill-management.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 | $0.00046 | $0.01638 |
| Opus 5 | $0.00023 | $0.00819 |
| Sonnet 5 | $0.00009 | $0.00328 |
| Haiku 4.5 | $0.00005 | $0.00164 |
Grade A, and why
skill-management 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 12d 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Manage the lifecycle of custom managed skills in {workspaceDir}/skills.
When to Use
USE THIS SKILL WHEN:
- The user says "build me a skill" or "create a skill for X"
- The user wants to scaffold, edit, or delete a SKILL.md in their workspace
- The user wants a repeatable workflow captured as an invocable skill
Do NOT use this skill when the user just wants to run an existing skill. That is normal activation, not management.
Capabilities
- Scaffold a new managed skill with YAML frontmatter and markdown body
- Edit an existing skill by scaffolding over it (rewrites the SKILL.md in place)
- Delete an existing managed skill directory
Skills created via scaffold_managed_skill become available for skill_load when a valid top-level SKILL.md is written under the skill directory.
Step 1 - Align with the user before building
Ask before doing anything. Do not scaffold a skill until you have confirmed with the user:
- What the skill should do
- When it should activate (the trigger phrases, in their words)
- The major steps it performs
- Any destructive steps and the done condition
✓ Checkpoint: Have you confirmed scope with the user? If you are guessing at any of the four points above, ask first. Do not scaffold on assumption.
Step 2 - Write a description AND activation-hints, always both
The description is what makes the skill discoverable. It must cover both what the skill does and when to reach for it, phrased the way the user would say it.
description: Build anything visual — apps, landing pages, dashboards, trackers,
calculators, games, tools, slide decks, or data visualizations. Use whenever
the user wants something built that they can see and interact with.
Every skill must also ship activation-hints in its frontmatter. This is not optional. Keep activation-hints separate from the description: the description sells the skill, the hints list the concrete trigger phrases the user confirmed in Step 1.
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.
- 12d ago First seen · 129 lines · 46 tokens per session scan A cc095fdb54af
skill-management is a skill published in the GitHub repository vellum-ai/vellum-assistant (1,234 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 1,638 once invoked, about $0.0002 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.
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