Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/stellar/stellar-dev-skillnpx agentmods add skills/stellar/stellar-dev-skill/dataWrote 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/stellar/stellar-dev-skill/data)<a href="https://agentmods.dev/skills/stellar/stellar-dev-skill/data"><img src="https://agentmods.dev/badge/skills/stellar/stellar-dev-skill/data/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/stellar/stellar-dev-skill/data"><img src="https://agentmods.dev/badge/skills/stellar/stellar-dev-skill/data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00077 | $0.03124 |
| Opus 5.5 | $0.00031 | $0.01250 |
| Sonnet 5.5 | $0.00015 | $0.00625 |
| Haiku 4.5 | $0.00008 | $0.00312 |
Grade A, and why
data 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 — 408 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stellar Data: RPC + Horizon
API access for reading chain state. Stellar RPC is the preferred entry point for new projects; Horizon remains for legacy and historical-query workflows. For deeper history beyond RPC's 7-day window, use Hubble/Galexie.
When to use this skill
- Calling Stellar RPC methods (
getLatestLedger,getLedgerEntries,getEvents,simulateTransaction,sendTransaction) - Querying Horizon endpoints (accounts, transactions, operations, effects, ledgers)
- Streaming live events or operations
- Pulling historical data beyond RPC's 7-day window (Hubble, Galexie)
- Choosing between RPC and Horizon for a given workflow
Related skills
- Building transactions to send →
../dapp/SKILL.md - Smart contract simulation and event emission →
../smart-contracts/SKILL.md - Asset balance and trustline lookups →
../assets/SKILL.md - Standards (SEP-7 deeplinks, SEP-10 auth) →
../standards/SKILL.md
Overview
Stellar provides two API paradigms:
| API | Status | Use Case |
|---|---|---|
| Stellar RPC | Preferred | Smart contracts, real-time state, new projects |
| Horizon | Legacy-focused | Historical data, legacy applications |
Recommendation: Use Stellar RPC for all new projects. Use Horizon mainly for historical queries and legacy compatibility paths.
Read the file that matches the task
| Task | File |
|---|---|
| RPC methods and usage | Stellar RPC (below) |
| Horizon endpoints, common operations, streaming, pagination | horizon.md |
| Migration strategy | Migration: Horizon to RPC (below) |
| Data history/indexing options | Historical Data Access (below) |
| Environment setup and endpoints | Network Configuration (below) |
Stellar RPC
Endpoints
Note: SDF directly provides Futurenet public RPC. For Mainnet RPC, select a provider from the RPC providers directory.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 408 lines · 77 tokens per session scan A a3fc479d2818
data is a skill published in the GitHub repository stellar/stellar-dev-skill (54 stars, last pushed 3d ago), licensed Apache-2.0. It adds 77 tokens to every session and 3,124 once invoked, about $0.0003 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 2026-08-30.
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