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 ag2ai/ag2-skills --skill ag2-network-governancegit clone --depth 1 https://github.com/ag2ai/ag2-skillsWrote 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/ag2ai/ag2-skills/ag2-network-governance)<a href="https://agentmods.dev/skills/ag2ai/ag2-skills/ag2-network-governance"><img src="https://agentmods.dev/badge/skills/ag2ai/ag2-skills/ag2-network-governance/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/ag2ai/ag2-skills/ag2-network-governance"><img src="https://agentmods.dev/badge/skills/ag2ai/ag2-skills/ag2-network-governance.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 | $0.00264 | $0.07319 |
| Opus 5 | $0.00132 | $0.03660 |
| Sonnet 5 | $0.00053 | $0.01464 |
| Haiku 4.5 | $0.00026 | $0.00732 |
Grade A, and why
ag2-network-governance 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 11d 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 — 558 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AG2 Network — Governance
Everything hub-side: identity, per-agent rules, expectations, audit, and task observation. The hub is the single source of truth — every send goes through it, every observation reads from it, every policy is checked there.
Prerequisite: read
ag2-network-quickstartfirst. This skill assumes you knowHub.open,Passport,Resume, the channel lifecycle, and theagent_client.register(...)flow.
When to use
Load this skill when the user needs to:
- Limit who can talk to whom (
access/AccessBlock) - Declare a token-bucket rate intent (
limits.rate/RateBlock) — stored on the rule but not enforced by the in-process hub - Cap inbox size to prevent flooding (
limits.inbox/InboxBlock) — and get an early-warning signal before the cap (on_inbox_pressure/high_water) - Set channel TTL defaults, concurrency caps, or delegation depth (
limits/LimitsBlock) - Plug in custom access / routing logic — JWT scopes, per-tenant quotas, federation (
HubArbiter/RuleBasedArbiter) - Authenticate agents at registration (
AuthAdapter) - Tune the channel-close timing (
acks_within,reply_within,max_silence,turn_within) - Read or query the audit log for compliance — or stream live state changes to metrics / alerting (
HubListener) - Add a custom periodic task to the hub (
register_sweeper) - Build a capability track record on each agent (
Resume.observed) - Route based on which agents have demonstrably done a task (e.g. "send to whichever researcher has the lowest
p50_latency_ms")
Identity — what every agent carries
Three dataclasses describe an agent on the network. The tenant supplies most fields; the hub stamps the rest.
from ag2.network import Passport, Resume, ResumeExample
passport = Passport(
name="alice", # required, unique within the hub
owner="acme", # optional, tenant id for multi-tenant deployments
model="claude-sonnet-4-6", # optional, surfaces on peer-lookup results
)
resume = Resume(
claimed_capabilities=["analysis", "policy"],
domains=["finance"],
summary="Senior policy analyst — scenario synthesis and rebuttal review.",
examples=[ResumeExample(title="Q3 risk brief", note="…")],
)
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.
- 11d ago First seen · 558 lines · 264 tokens per session scan A 5530ffa78867
ag2-network-governance is a skill published in the GitHub repository ag2ai/ag2-skills (10 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 264 tokens to every session and 7,319 once invoked, about $0.0013 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 2026-08-31.
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