What is spark-ordernet?

A read-only interface for inspecting Spark/Ordernet brokerage accounts, including compatible Meitav Trade accounts. It can retrieve holdings, cash, orders, transactions, returns, securities, prices, and market news.

Use it for portfolio snapshots, transaction and order-history checks, security lookups, price-history queries, standing-order reviews, and market-news checks.

It provides account evidence without changing orders or holdings, while keeping currencies, units, timestamps, and account details explicit.

spark-ordernet — Skill for Codex by anhermon

Install

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.

Clone the repo

git clone --depth 1 https://github.com/anhermon/spark-ordernet-mcp

agentmods

npx agentmods add skills/anhermon/spark-ordernet-mcp/spark-ordernet

Made for: Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/anhermon/spark-ordernet-mcp/spark-ordernet/github.svg)](https://agentmods.dev/skills/anhermon/spark-ordernet-mcp/spark-ordernet)

Your own site

<a href="https://agentmods.dev/skills/anhermon/spark-ordernet-mcp/spark-ordernet"><img src="https://agentmods.dev/badge/skills/anhermon/spark-ordernet-mcp/spark-ordernet/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/anhermon/spark-ordernet-mcp/spark-ordernet"><img src="https://agentmods.dev/badge/skills/anhermon/spark-ordernet-mcp/spark-ordernet.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 875 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00089	$0.00875
Opus 5	$0.00044	$0.00438
Sonnet 5	$0.00018	$0.00175
Haiku 4.5	$0.00009	$0.00088

Measured 12d ago against content hash f34f487f8f25, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

spark-ordernet 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 12d 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.

spark-ordernet/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Spark Ordernet

Use the Spark MCP tools to retrieve account evidence. Keep every operation read-only.

Workflow

Call accounts before an account-scoped task.
If more than one account exists and the user did not identify one, show the account names/numbers and ask which one to use.
Call the narrowest tool that answers the request. See tool-reference.md for selection and parameters.
Preserve currencies, units, timestamps, signs, and raw field names. Do not infer a unit or translate an unclear compressed-domain field without evidence.
Separate retrieved facts from calculations or investment interpretation. State the requested date/range and whether the result is a current snapshot or history.
Treat an empty list as “no matching records returned,” not proof that no activity ever existed. Mention the account and range checked.

Private visual report

When asked for a visual portfolio analysis in this project, run:

uv run --env-file .env python scripts/generate_portfolio_report.py

The generator calls Spark through MCP stdio, masks the account identifier, writes the ignored reports/portfolio-analysis.html atomically, and sets it to mode 0600. It stores reusable API snapshots in the ignored reports/.spark-cache/ directory with mode 0700; cache files are mode 0600.

Reuse the default cache for normal reports. Completed historical years load locally, and current snapshots are reused for five minutes before refreshing from Spark. Use --cache-ttl 0 when the user needs a guaranteed live refresh of current data, --refresh only when historical broker data may have changed, and --offline to reproduce the last successful report without contacting Spark. The page labels live, cached, offline, or fallback data.

For historical position analysis, use resolve_securities for exact bulk label resolution and price_history only with its returned topic keys. The report normalizes income and fees to ILS using transaction-date FX, keeps missing conversions explicit, separates table fields by type, and indexes held-period price lines from each lifecycle's first available close.

Read the full file on GitHub · 59 lines

Files

What ships with it

2 files 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.

Changes

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.

12d ago First seen · 59 lines · 89 tokens per session scan A f34f487f8f25

Subscribe to this mod's changes

spark-ordernet is a skill published in the GitHub repository anhermon/spark-ordernet-mcp (1 stars, last pushed 1mo ago), licensed MIT. It adds 89 tokens to every session and 875 once invoked, about $0.0004 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 2026-08-31.

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