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 lingxling/awesome-skills-cn --skill ai-agent-tool-routinggit clone --depth 1 https://github.com/lingxling/awesome-skills-cnWrote 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/lingxling/awesome-skills-cn/ai-agent-tool-routing)<a href="https://agentmods.dev/skills/lingxling/awesome-skills-cn/ai-agent-tool-routing"><img src="https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/ai-agent-tool-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/lingxling/awesome-skills-cn/ai-agent-tool-routing"><img src="https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/ai-agent-tool-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 | $0.00031 | $0.01221 |
| Opus 5.5 | $0.00012 | $0.00488 |
| Sonnet 5.5 | $0.00006 | $0.00244 |
| Haiku 4.5 | $0.00003 | $0.00122 |
Grade A, and why
ai-agent-tool-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 9d 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.
This is a copy
100% identical to ai-agent-tool-routing — 190 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Autonomous AI Agent Tool Routing
What it is: Coordinates discovery, runtime execution bounds, and fault-tolerant retry policies for external tools consumed by autonomous AI coding agents.
Overview
Provides a standardized, auditable framework and data model for Autonomous AI Agent Tool Routing operations across distributed engineering and decentralized application systems.
When to Use This Skill
- When formalizing architectural contracts, security invariants, or operational limits for Autonomous AI Agent Tool Routing.
- When cross-functional review is required between protocol developers, smart contract auditors, and AI engineering agents.
- When generating reproducible CSV, SQL DDL, JSON Schema, and Notion property registers for tracking compliance.
How It Works
- Define the parameters, thresholds, and identity bindings required for the target operational register.
- Select appropriate boundary enforcement values from validated enum select sets.
- Export standardized artifacts (CSV table, SQL DDL, JSON Schema) to integrate into validation CI pipelines.
Field Reference
| # | Field Name | Type | SQL Type | JSON Schema Type | Notion Property Type | Example Value |
|---|---|---|---|---|---|---|
| 1 | Tool Definition ID | id |
SERIAL PRIMARY KEY |
integer |
Text | TOOL-001 |
| 2 | Tool Canonical Name | text |
VARCHAR(64) |
string |
Text | stellar_ledger_query |
| 3 | Target Protocol / Server | text |
VARCHAR(64) |
string |
Text | Stellar Horizon RPC |
| 4 | Invocation Mode | select |
VARCHAR(32) |
string |
Select | Synchronous |
| 5 | Idempotency Enforced | select |
VARCHAR(16) |
string |
Select | Yes |
| 6 | Parameter Coercion Strategy | select |
VARCHAR(64) |
string |
Select | Strict Pydantic V2 |
| 7 | Rate Limit Requests Per Min | number |
INTEGER |
number |
Number | 120 |
| 8 | Retry Backoff Policy | select |
VARCHAR(32) |
string |
Select | Exponential with Jitter |
| 9 | Timeout Threshold Ms | number |
INTEGER |
number |
Number | 5000 |
| 10 | Router Registration Status | select |
VARCHAR(32) |
string |
Select | Active Verified |
| 11 | Last Validation Date | date |
DATE |
string, format: date |
Date | 2026-10-01 |
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.
- 9d ago First seen · 137 lines · 31 tokens per session scan A 3d16ef0181a2
ai-agent-tool-routing is a skill published in the GitHub repository lingxling/awesome-skills-cn (310 stars, last pushed 9d ago), licensed MIT. It adds 31 tokens to every session and 1,221 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to ai-agent-tool-routing, differing in 190 lines, and is treated as a copy.
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