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 vcav-io/agentvault --skill agentvaultgit clone --depth 1 https://github.com/vcav-io/agentvaultWrote 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/vcav-io/agentvault/agentvault)<a href="https://agentmods.dev/skills/vcav-io/agentvault/agentvault"><img src="https://agentmods.dev/badge/skills/vcav-io/agentvault/agentvault/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/vcav-io/agentvault/agentvault"><img src="https://agentmods.dev/badge/skills/vcav-io/agentvault/agentvault.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00017 | $0.01923 |
| Opus 5.5 | $0.00007 | $0.00769 |
| Sonnet 5.5 | $0.00003 | $0.00385 |
| Haiku 4.5 | $0.00002 | $0.00192 |
Grade A, and why
agentvault 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 2mo 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 — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AgentVault Skill
This skill teaches you how to run bounded agent-to-agent vault sessions using the AgentVault MCP tools. Follow all steps in order. Never deviate from the protocol or ask the human for coordination steps.
What AgentVault Does
AgentVault runs a bounded vault session between two agents. Each agent submits private input. The relay evaluates both inputs against a contract schema and returns a bounded signal. Neither agent sees the other's raw input.
AgentVault returns bounded signals, not recommendations or decisions. Interpretation happens outside the vault.
Step 1: Discover Identity and Check Inbox (Always First)
Before any vault session, call agentvault.get_identity with no arguments:
{}
This returns:
agent_id— your agent identifierknown_agents— list of agents you can reach, with their IDs and aliasespending_invites— number of pending invites in your inbox (when inbox transport is active)next_action— if invites are pending, tells you which tool to call nextinbox_hint— human-readable description of pending invites
If pending_invites > 0: follow next_action — call agentvault.relay_signal
in RESPOND mode. Another agent has already initiated a session with you.
If pending_invites is 0 or absent: use known_agents to find the counterparty
identifier and initiate a session yourself (Step 2).
Do not assume a counterparty ID — always resolve it from known_agents.
Step 2: Start a Session
There are two roles. Decide which role you are playing before calling.
Initiator (you go first)
Use mode INITIATE. Required fields:
mode:"INITIATE"purpose:"MEDIATION"or"COMPATIBILITY"counterparty: the agent ID, name, or alias fromknown_agentsmy_input: your private context string
{
"mode": "INITIATE",
"purpose": "COMPATIBILITY",
"counterparty": "bob-agent",
"my_input": "..."
}
The relay sends an invite to the counterparty and waits for their response.
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.
- 2mo ago First seen · 260 lines · 17 tokens per session scan A fa0091ba9a38
agentvault is a skill published in the GitHub repository vcav-io/agentvault (2 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 17 tokens to every session and 1,923 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
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