push-ingestion SKILL.md skillA
push-ingestion from monte-carlo-data/mc-agent-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add monte-carlo-data/mc-agent-toolkit/push-ingestion@git:20260428.4eb6e59Pins git:20260428.4eb6e59 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- monte-carlo-data/mc-agent-toolkit
- Path
skills/push-ingestion/SKILL.md- Versions recorded
- 5
- Latest version
- git:20260428.4eb6e59, committed Apr 28, 2026
- First version recorded
- Mar 27, 2026
- Size
- 18,351 bytes
- Repository stars
- 93
- License
- Apache-2.0
Expert guide for Monte Carlo's push ingestion model. Use this skill whenever a customer or engineer mentions: pushing data to Monte Carlo, the IngestionService, pycarlo push APIs, build me a collection script, push metadata/lineage/query logs, invocation_id tracing, custom lineage nodes or edges, deleting push tables, or any question about why pushed data is not showing up. Also trigger when they ask to generate code that collects metadata, table schema, row counts, freshness, lineage, or…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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: …
Read the whole file at its exact version.
How to install
mdr add monte-carlo-data/mc-agent-toolkit/push-ingestion@sha256:af3228e9182f34aeThe line at the top of this page pins the label git:20260428.4eb6e59, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_dpikgjhy7zne2eq3)
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Versions
The registry has recorded 5 versions of this file, between Mar 27, 2026 and Apr 28, 2026, about one every 8 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260428.4eb6e59 latest | 2026-04-28 | 4eb6e59 | 18,351 B | A | view · diff |
| git:20260402.f08132a | 2026-04-02 | f08132a | 18,337 B | A | view · diff |
| git:20260402.5325814 | 2026-04-02 | 5325814 | 18,301 B | A | view · diff |
| git:20260328.d00e68b | 2026-03-28 | d00e68b | 17,605 B | A | view · diff |
| git:20260327.872756d | 2026-03-27 | 872756d | 16,186 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (18351 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
monte-carlo-data/mc-agent-toolkit · 93 stars · license Apache-2.0 · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_dpikgjhy7zne2eq3 GET https://markdownregistry.com/api/v1/resolve?ref=monte-carlo-data/mc-agent-toolkit/push-ingestion GET https://markdownregistry.com/api/v1/blob/af3228e9182f34ae8e8069393618ef46ee26f2eeb0eefadd4ccbd29761b5c230
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.