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push-ingestion

push-ingestion is a skill for Claude Code, Codex from monte-carlo-data/mc-agent-toolkit. It costs 145 tokens per session (4,270 once invoked), scanned A, original, Apache-2.0.

A guide for sending metadata, lineage, and query logs directly to Monte Carlo. Metadata describes data assets, while lineage shows how data moves between them.

In plain words
What is it for?
Building collection scripts that push warehouse metadata, lineage, query logs, custom lineage links, or push-table deletion requests to Monte Carlo.
Why use it?
It provides a way to supply data that a normal collector may not find, such as custom relationships or query history from unsupported sources.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 91repo 13d ago A scan 145 tokens original Apache-2.0

Good fit Building collection scripts that push warehouse metadata, lineage, query logs, custom lineage links, or push-table deletion requests to Monte Carlo.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/monte-carlo-data/mc-agent-toolkit/push-ingestion
View source ↗ monte-carlo-data/mc-agent-toolkit docs.getmontecarlo.com
Install

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.

Any agent
npx skills add monte-carlo-data/mc-agent-toolkit --skill push-ingestion
Clone the repo
git clone --depth 1 https://github.com/monte-carlo-data/mc-agent-toolkit

Made for: Claude Code, 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.

agentmods badge for push-ingestion

README.md
[![agentmods](https://agentmods.dev/badge/skills/monte-carlo-data/mc-agent-toolkit/push-ingestion.svg)](https://agentmods.dev/skills/monte-carlo-data/mc-agent-toolkit/push-ingestion)
Your own site
<a href="https://agentmods.dev/skills/monte-carlo-data/mc-agent-toolkit/push-ingestion"><img src="https://agentmods.dev/badge/skills/monte-carlo-data/mc-agent-toolkit/push-ingestion.svg" alt="Measured on agentmods" height="20"></a>
Per session 145 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,270 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00145 $0.04270
Opus 5 $0.00072 $0.02135
Sonnet 5 $0.00029 $0.00854
Haiku 4.5 $0.00015 $0.00427

Measured 7d ago against content hash af3228e9182f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

push-ingestion scanned grade A with 1 finding 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 7d ago.

The scan reads SKILL.md. This mod also ships 51 executable files (scripts/sample_verify.py, scripts/templates/bigquery-iceberg/collect_and_push_metadata.py, scripts/templates/bigquery-iceberg/collect_and_push_query_logs.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

| `references/direct-http-api.md` | Customer wants to call push APIs directly via curl/HTTP without pycarlo |
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/push-ingestion/SKILL.md · 364 lines

How it starts

The opening of the file, as written. The whole thing — 364 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Monte Carlo Push Ingestion

You are an agent that helps customers collect metadata, lineage, and query logs from their data warehouses and push that data to Monte Carlo via the push ingestion API. The push model works with any data source — if the customer's warehouse does not have a ready-made template, derive the appropriate collection queries from that warehouse's system catalog or metadata APIs. The push format and pycarlo SDK calls are the same regardless of source.

Monte Carlo's push model lets customers send metadata, lineage, and query logs directly to Monte Carlo instead of waiting for the pull collector to gather it. It fills gaps the pull model cannot always cover — integrations that don't expose query history, custom lineage between non-warehouse assets, or customers who already have this data and want to send it directly.

Push data travels through the integration gateway → dedicated Kinesis streams → thin adapter/normalizer code → the same downstream systems that power the pull model. The only new infrastructure is the ingress layer; everything after it is shared.

MANDATORY — Always start from templates

When generating any push-ingestion script, you MUST:

  1. Read the corresponding template before writing any code. Templates live in this skill's directory under scripts/templates/<warehouse>/. To find them, glob for **/push-ingestion/scripts/templates/<warehouse>/*.py — this works regardless of where the skill is installed. Do NOT search from the current working directory alone.
  2. Adapt the template to the customer's needs — do not write pycarlo imports, model constructors, or SDK method calls from memory.
  3. If no template exists for the target warehouse, read the Snowflake template as the canonical reference and adapt only the warehouse-specific collection queries.

Template files follow this naming pattern:

  • collect_<flow>.py — collection only (queries the warehouse, writes a JSON manifest)
  • push_<flow>.py — push only (reads the manifest, sends to Monte Carlo)
  • collect_and_push_<flow>.py — combined (imports from both, runs in sequence)

Read the full file on GitHub · 364 lines

Files

What ships with it

60 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.

  1. 7d ago First seen · 364 lines · 145 tokens per session scan A af3228e9182f

Subscribe to this mod's changes

push-ingestion is a skill published in the GitHub repository monte-carlo-data/mc-agent-toolkit (91 stars, last pushed 13d ago), licensed Apache-2.0. It adds 145 tokens to every session and 4,270 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Analytics and metricsClaude Codeagent-observabilityagent-skillsai-agentscursordata-observability
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