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 pyworkload/3x-ui-mcp --skill smart-routinggit clone --depth 1 https://github.com/pyworkload/3x-ui-mcpWrote 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/pyworkload/3x-ui-mcp/smart-routing)<a href="https://agentmods.dev/skills/pyworkload/3x-ui-mcp/smart-routing"><img src="https://agentmods.dev/badge/skills/pyworkload/3x-ui-mcp/smart-routing/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/pyworkload/3x-ui-mcp/smart-routing"><img src="https://agentmods.dev/badge/skills/pyworkload/3x-ui-mcp/smart-routing.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 | $0.00090 | $0.01326 |
| Opus 5.5 | $0.00036 | $0.00530 |
| Sonnet 5.5 | $0.00018 | $0.00265 |
| Haiku 4.5 | $0.00009 | $0.00133 |
Grade A, and why
smart-routing 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 1mo 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Routing
Routing rules live in the saved Xray template, and every rule tool
(add_routing_rule, update_routing_rule, remove_routing_rule) rewrites that
whole template read-modify-write. Two consequences: back up before a session of
edits, and do not interleave rule edits with update_xray_template, which replaces
the document outright and will discard rules added in between.
Before anything else
Sniffing must be enabled on the inbound. Without it the router sees only IP
addresses and every domain rule misses — silently, with no error anywhere. The
default sniffing this server sends on create_inbound has it on; an inbound
created elsewhere may not. Check get_inbound first when domain rules "do nothing".
Rule order is the whole game
get_routing_rules
Rules are evaluated top to bottom and the first match wins. The classic failure is
a broad rule above a narrow one — geosite:category-ads above a specific
domain:ads.example.com exception means the exception never runs.
add_routing_rule appends by default; pass index to place a rule where it will
actually be reached.
get_routing_rules also returns the balancer definitions, because a rule's
balancerTag is meaningless without them.
Validate geo tokens before saving
geosite: and geoip: tokens that do not exist do not error — they just never
match:
validate_geodata_tokens tokens="geosite:category-ads-all,geoip:private" kind="domain"
list_geodata_files, list_geodata_categories and list_geodata_entries browse
what the server's databases actually contain, which is the reliable way to find the
right category name rather than guessing from a blog post. update_geofile
refreshes the databases; stale geo data is a common cause of rules that used to
work.
Common shapes
Direct for local traffic, so it never leaves through the proxy:
add_routing_rule rule={"type":"field","outboundTag":"direct","ip":["geoip:private"]} index=0
Block a category:
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.
- 1mo ago First seen · 134 lines · 90 tokens per session scan A 4c381c89b8fd
smart-routing is a skill published in the GitHub repository pyworkload/3x-ui-mcp (5 stars, last pushed 4d ago), licensed MIT. It adds 90 tokens to every session and 1,326 once invoked, about $0.0004 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 2026-09-05.
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