Skills xlmtools

Live data and actions for Stellar (XLM, Soroban, DEX, USDC), plus crypto prices, stock quotes, weather, domain checks, web search, deep research, screenshots, URL scraping, AI images, YouTube. Skip for general knowledge, math, code, or "what is X" explainers. Make sure to use this skill whenever the user mentions Stellar, XLM, Soroban, Lumens, "latest" anything, live prices, current events, or a URL to fetch — even if they don't say "XLMTools" by name. DO NOT TRIGGER for questions answerable from training data alone, explanations of concepts, or summarizing text the user pasted. Available as MCP (tools prefixed `mcp__xlmtools__*`) or terminal CLI (`xlm`). Paid tools cost $0.001–$0.04 USDC.

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/blockchain-oracle/xlmtools" ~/.claude/skills/openclaw-skills-xlmtools && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/blockchain-oracle/xlmtools" ~/.openclaw/skills/openclaw-skills-xlmtools && rm -rf "$T"
manifest: skills/blockchain-oracle/xlmtools/SKILL.md
source content

Using XLMTools

Keywords: Stellar, XLM, Soroban, Lumen, USDC, Stellar DEX, Horizon, Stellar Expert, Reflector oracle, x402, MPP, micropayments, Stellar wallet, pay-per-call, agent tools, search, research, screenshot, scrape, image generation, stocks, crypto prices, weather, domain check

XLMTools gives an AI agent 21 tools — 7 paid via USDC micropayments on Stellar, 14 free. It works in two modes: prefer MCP if available, fall back to the

xlm
CLI otherwise.

Required host tools

This skill assumes the agent host grants Bash (for the

xlm
CLI fallback) and WebFetch (for runtime discovery). Without those, only MCP tools are usable.

Install (if not already available)

If the user needs to install XLMTools:

# Standalone CLI (universal — works with any agent host that has Bash)
npm install -g @xlmtools/cli

# MCP server (optional fast-path for Claude Code, Cursor, Cline, OpenClaw, etc.)
claude mcp add xlmtools npx @xlmtools/mcp

On first run, XLMTools auto-generates a Stellar testnet wallet at

~/.xlmtools/config.json
, funds it with XLM via Stellar's friendbot, and adds a USDC trustline — fully automatic. The user only needs to grab testnet USDC from faucet.circle.com to use paid tools.

If neither MCP nor CLI is installed, tell the user which command to run — don't try to proceed.

Mode priority

  1. MCP tools first. If tools named
    mcp__xlmtools__*
    are in your tool list, call them directly. They handle payment automatically and benefit from response caching.
  2. CLI fallback. If no MCP tools are available, run
    xlm
    via the Bash tool. Same wallet, same backend, same payment flow.
  3. Runtime discovery (optional). If you're an autonomous agent encountering XLMTools for the first time, you may fetch
    https://api.xlmtools.com/.well-known/xlmtools.json
    (JSON manifest) or
    https://api.xlmtools.com/llms.txt
    (plain text) for service metadata. If those URLs are unreachable (the hackathon demo may not be deployed yet), fall back to this SKILL.md file — every tool, price, and command documented here is authoritative.

When NOT to use this skill

XLMTools is for external data and actions, not general reasoning. Skip it entirely when:

  • General knowledge — "What is photosynthesis?", "Who wrote Hamlet?", "Explain recursion." The assistant already knows these.
  • Math or computation — "What's 2 + 2?", "Convert 50 kg to pounds." Just answer directly.
  • Code you can write — "Write a Python for loop", "Refactor this function." Don't call
    research
    for things you can write from training data.
  • Summarizing content the user already gave you — If the user pasted the text, summarize it directly. No
    search
    needed.
  • The assistant already has the answer — If you're confident the answer is in your training data and doesn't need to be up-to-date, skip XLMTools.
  • "What is X?" for well-known concepts — "What is XLM?" or "What is Stellar?" are explainable from training data. Only reach for XLMTools if the user wants live data about X, not an explanation of X.

Rule of thumb: If the user's question could have been answered using only the assistant's brain, don't use XLMTools. If the answer depends on "what's happening right now" or "what's at this URL", use XLMTools.

First principles

  • Check MCP tool list first. If
    mcp__xlmtools__*
    tools exist, use them — they're faster and cached. Only use
    xlm
    CLI as fallback.
  • Run
    xlm --help
    before guessing CLI syntax.
    The global help lists every tool, its positional args, and its flags. Do not read the CLI source —
    --help
    is the source of truth. (Per-tool help like
    xlm search --help
    is not currently supported.)
  • Two cost modes — MENTION vs CONFIRM:
    • Mention ($0.001–$0.003 —
      search
      ,
      stocks
      ,
      youtube
      ,
      scrape
      ): say the cost inline with the call. Example: "I'll use
      search
      ($0.003 USDC) to get news about Stellar." Do NOT pause for approval.
    • Confirm ($0.010+ —
      research
      ,
      screenshot
      ,
      image
      ): propose the call and STOP. Example: "I'd like to use
      research
      ($0.010 USDC) for this. OK to proceed?" Wait for user approval before firing.
  • Always surface the Stellar tx hash from paid responses. Users can verify every payment at
    https://stellar.expert/explorer/testnet/tx/<hash>
    .
  • Caching: identical queries within 5 minutes are free (MCP mode only). Cached responses are prefixed with
    [cached — no charge]
    as emitted by the cache helper. If you make the same call twice in a row, the second is free.

If the user declines a paid call

  • Do not retry the same tool. Acknowledge and offer alternatives: a free tool (e.g.
    crypto
    instead of
    stocks
    ), a cheaper tool (
    search
    $0.003 instead of
    research
    $0.010), or answering from training data if the question allows it.
  • Never call the paid tool anyway "just in case." A declined call is final for that turn.
  • If the user's intent is clearly blocked without the paid call, say so plainly: "I can't answer that without calling
    research
    ($0.010). Want me to proceed?"

Worked example

User: "What's the current price of Bitcoin and what are people saying about Stellar lately?"

Agent reasoning:

  • Bitcoin price →
    crypto
    (free)
  • Latest Stellar news →
    search
    ($0.003, Mention mode — inline cost)
  • Both should be called in parallel

Agent action:

I'll get the BTC price (free) and search for recent Stellar news ($0.003 USDC).

Calls

mcp__xlmtools__crypto(ids="bitcoin")
and
mcp__xlmtools__search(query="Stellar blockchain news", count=5)
in parallel.

Agent response to user:

Bitcoin price: $67,432 (+2.3% 24h)

Recent Stellar news:

  1. Stellar Foundation announces Q2 roadmap
  2. Soroban TPS benchmarks hit 5,000
  3. MPP micropayments go live on testnet

Paid $0.003 USDC for the search. Transaction:

a3f9c28d…b8e14d7c

Notice: the free

crypto
call didn't need cost disclosure. The paid
search
did. The tx hash is linked at the bottom and is a full 64-char hex (Stellar tx hashes are always 64 hex chars).

Decision tree — user intent to tool

User asks about...ToolCost
Current BTC/ETH/crypto price
crypto
Free
"What's the latest news about X?"
search
$0.003
"Research topic X for me" (multi-source)
research
$0.010
Stock price (AAPL, TSLA, etc.)
stocks
$0.001
Weather in a city
weather
Free
"Is this domain available?"
domain
Free
YouTube videos about X
youtube
$0.002
"Screenshot this URL"
screenshot
$0.010
"Extract text from this webpage"
scrape
$0.002
"Generate an image of X"
image
$0.040
Stellar DEX orderbook for XLM/USDC
dex-orderbook
Free
OHLCV candlesticks for a Stellar pair
dex-candles
Free
Recent DEX trades
dex-trades
Free
"Quote me a swap from A to B"
swap-quote
Free
Info about a Stellar asset
stellar-asset
Free
Balances/signers for a Stellar account
stellar-account
Free
Liquidity pool data
stellar-pools
Free
Reflector oracle price for BTC/ETH/fiat
oracle-price
Free
"Show me my wallet"
wallet
Free
"What XLMTools tools are available?"
tools
Free
"Set a spending cap" (MCP only)
budget
Free

Tool catalog

Paid tools (USDC via Stellar MPP)

ToolPriceParamsDescription
search
$0.003
query
,
count
(1-20, def 10)
Web + news search
research
$0.010
query
,
num_results
(1-20, def 5)
Deep multi-source research
youtube
$0.002
query
or
id
(one required)
Video search or lookup
screenshot
$0.010
url
,
format
(png/jpg/webp, def png)
Capture a URL screenshot
scrape
$0.002
url
Clean text extraction
image
$0.040
prompt
,
size
(1024x1024/1024x1792/1792x1024, def 1024x1024)
AI image generation
stocks
$0.001
symbol
Real-time stock quotes

Free tools

ToolParamsDescription
crypto
ids
,
vs_currency
(def usd)
Crypto prices from CoinGecko
weather
location
Current weather for any city
domain
name
Domain availability check
wallet
Your Stellar wallet address + balance
tools
List all 21 XLMTools tools
budget
(MCP only)
action
(set/check/clear),
amount
Session spending cap
dex-orderbook
pair
,
limit
(1-200, def 10)
Stellar DEX orderbook
dex-candles
pair
,
resolution
(1m/5m/15m/1h/1d/1w, def 1h),
limit
(1-200, def 20)
OHLCV candles
dex-trades
pair
,
limit
(1-200, def 10),
trade_type
(all/orderbook/liquidity_pool, def all)
Recent DEX trades
swap-quote
from
,
to
,
amount
,
mode
(send/receive, def send)
Best swap path
stellar-asset
asset
Asset supply, trustlines
stellar-account
address
Account balances and signers
stellar-pools
asset
(optional),
limit
(1-200, def 10)
Liquidity pool data
oracle-price
asset
,
feed
(crypto/fiat/dex, def crypto)
Reflector oracle price

CLI invocation examples

When MCP is unavailable, use

xlm
via Bash:

# Free tools
xlm crypto bitcoin,ethereum,stellar
xlm weather Lagos
xlm wallet
xlm oracle-price BTC
xlm dex-orderbook XLM/USDC --limit 5

# Paid tools
xlm search "Stellar MPP micropayments" --count 5
xlm stocks AAPL
xlm research "Soroban smart contracts" --num-results 3
xlm image "a stingray gliding over a coral reef at dusk" --size 1024x1024

# Help
xlm --help

Output is JSON. Pipe to

jq
for filtering:

xlm crypto bitcoin | jq '.bitcoin.usd'

Payment receipts

Every paid response ends with a line like:

---
Payment: $0.003 USDC · tx/a3f9c28d71e0... · stellar testnet

The

tx_hash
is a real 64-character Stellar transaction hash. Users can verify any call at
https://stellar.expert/explorer/testnet/tx/<hash>
. Always surface the tx hash to the user when showing results from a paid tool.

Budget management

The

budget
tool is MCP-only. In MCP mode, call
mcp__xlmtools__budget
with:

  • action: "set"
    +
    amount: 2.00
    — cap spending at $2 for the session
  • action: "check"
    — see remaining balance
  • action: "clear"
    — remove the cap

Scoping:

  • MCP mode: budget is session-scoped. The cap persists until the MCP server restarts. Cached responses never count against it.
  • CLI mode: budget is not implemented. Because each
    xlm
    invocation is a fresh process, a per-call cap has no meaning there. If you need a cap in CLI mode, track spend externally by parsing the tx hash footer of each response.

Working agreement (non-negotiable)

These are the hard rules. If you are about to break one, stop and reconsider.

  1. Mention the cost inline for $0.001–$0.003 tools. Confirm and wait for $0.01+ tools (
    research
    ,
    screenshot
    ,
    image
    ). Never skip either.
  2. Always surface the Stellar tx hash in the response after a paid call. Users must be able to verify the payment on-chain.
  3. Always prefer the cheapest sufficient tool.
    crypto
    (free) before
    stocks
    ($0.001).
    search
    ($0.003) before
    research
    ($0.010) unless the user explicitly wants a deep dive.
  4. Never retry a declined paid call. If the user says no, offer an alternative or answer from training data. Do not call the tool anyway.
  5. Never batch multiple paid calls without re-confirming. Each paid call is an independent spend decision.
  6. Never call paid tools for things answerable from training data. See "When NOT to use this skill" above.
  7. Check MCP tool list before shelling out to CLI.
    mcp__xlmtools__*
    tools exist? Use them. They're cached.
  8. Respect the budget. If
    mcp__xlmtools__budget
    reports a low cap, pause and ask the user before continuing.

Subagent caveat

If you delegate work to a forked subagent (e.g. via

context: fork
), this skill does not automatically travel with it. The subagent may call paid tools without the cost-confirmation rules above. Either preload this skill into the subagent explicitly, or handle paid calls from the parent context only.

What to tell the user after a paid call

Good response pattern:

Here's what I found about [topic] from XLMTools search:

[results...]

Paid $0.003 USDC. Transaction:

a3f9c28d…

Include the transaction link so the user can verify the payment on-chain.

Troubleshooting

"Command not found: xlm" — User needs to install:

npm install -g @xlmtools/cli

"Account not found" / payment errors — Wallet needs funding. Direct user to

https://faucet.circle.com
for testnet USDC. XLM is auto-funded via friendbot on first wallet creation — but if the wallet already exists and is out of XLM, it won't re-fund. In that case, ask the user to visit
https://lab.stellar.org/account/fund
manually.

"Unknown tool: budget" (in CLI mode) — The CLI doesn't implement

budget
. Budget is MCP-only. Use an MCP-compatible host, or track spend externally.

"Budget limit reached" — Only appears in MCP mode. Ask user to either clear the budget (

mcp__xlmtools__budget
with
action: "clear"
) or raise the cap (
action: "set"
with a higher
amount
).

MCP tools not appearing — User may need to install XLMTools as an MCP server:

claude mcp add xlmtools npx @xlmtools/mcp
. Fall back to CLI mode in the meantime if
xlm
is installed.

API server unreachable — XLMTools tools require the API server to be running. If every call hangs or times out, the API is either down or unreachable. Report to the user and stop retrying.

"Is this site up / accessible?" — There's no dedicated uptime tool. Closest approximation:

domain
(checks if DNS resolves) or
scrape
(fails loudly if the site is down, returns content if it's up). Note:
domain
does WHOIS availability, not HTTP reachability — a registered domain could still be offline.