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 lightninglabs/lightning-agent-tools --skill taproot-assets-rpcgit clone --depth 1 https://github.com/lightninglabs/lightning-agent-toolsWrote 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/lightninglabs/lightning-agent-tools/taproot-assets-rpc)<a href="https://agentmods.dev/skills/lightninglabs/lightning-agent-tools/taproot-assets-rpc"><img src="https://agentmods.dev/badge/skills/lightninglabs/lightning-agent-tools/taproot-assets-rpc.svg" alt="Measured on agentmods" 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 | $0.00040 | $0.03175 |
| Opus 5 | $0.00020 | $0.01588 |
| Sonnet 5 | $0.00008 | $0.00635 |
| Haiku 4.5 | $0.00004 | $0.00317 |
Grade A, and why
taproot-assets-rpc 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 8d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 8d ago First seen · 384 lines · 40 tokens per session scan A 8e0db6b5b2d7
taproot-assets-rpc is a skill published in the GitHub repository lightninglabs/lightning-agent-tools (59 stars, last pushed 3mo ago), with no licence file. It adds 40 tokens to every session and 3,175 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.
Other skills, from other repositories
go-trader
Skill "go-trader" from richkuo/go-trader, covering agent setup guide — go-trader, core rules, prerequisites, linux and macos.
rutebayar-agent-contributor
Operate and extend Rute Bayar, the Go CLI and webhook daemon for Indonesian payment gateways. Use when setting up sandbox or production Rute Bayar flows, helping AI Agents create invoices and verify payments through the rutebayar CLI, testing webhooks/forwarding/reconciliation, preparing releases, or contributing a…
tigeropen-go
A Go software development kit for Tiger Brokers, an online brokerage. It helps programs read market data, manage accounts, receive live updates, and trade stocks, futures, and options.
ast-grep
Guide for writing ast-grep rules to perform structural code search and analysis. Use when users need to search codebases using Abstract Syntax Tree (AST) patterns, find specific code structures, or perform complex code queries that go beyond simple text search. This skill should be used when users ask to search for…
golang-testing
Production-ready Golang tests — table-driven tests, testify suites and mocks, parallel tests, fuzzing, fixtures, goroutine leak detection with goleak, snapshot testing, code coverage, integration tests, idiomatic test naming. Use when writing or reviewing Go tests, choosing a testing approach, setting up Go test CI…
golang-samber-oops
Structured error handling in Golang with samber/oops — error builders, stack traces, error codes, error context, error wrapping, error attributes, user-facing vs developer messages, panic recovery, and logger integration. Apply when using or adopting samber/oops, or when the codebase already imports…