configuring-ai-agents SKILL.md skillA

configuring-ai-agents from celigo/ai is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add celigo/ai/configuring-ai-agents@git:20261017.e0e159f

Pins git:20261017.e0e159f in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
celigo/ai
Path
skills/configuring-ai-agents/SKILL.md
Versions recorded
5
Latest version
git:20261017.e0e159f, committed Oct 17, 2026
First version recorded
May 20, 2026
Size
24,686 bytes
Repository stars
4
License
MIT

Configure Celigo AI agent and guardrail imports -- LLM-powered steps that classify, extract, validate, or generate data within flows. Use when creating agent imports on any supported model provider, guardrails (PII, moderation), or configuring prompts, structured output, or BYOK connections.

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

<!-- TIER:1 -->

# Configuring AI Agents

An AI agent is an **LLM-powered import step** that processes records through an AI model instead of writing them to an external system. Records flow in, the model processes them according to instructions, and structured output flows back into the pipeline.

AI agents handle four concerns:

- **Prompt design** -- the system instruction that defines the model's behavior, goals, and constraints (up to 50 KB). The prompt receives each record as context and must produce output that downstream steps can consume
- **Structured output** -- `json_schema` output format forces the model to return data conforming to a JSON Schema, enabling reliable field extraction for mapping. `text` returns free-form responses. `blob` returns binary data (image generation)
- **Tool use** -- the model can call web search, MCP server tools, Celigo Tool resources, or image generation during processing. Tools extend the model's capabilities beyond its training data
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add celigo/ai/configuring-ai-agents@sha256:77bc259bfe52eff2

The line at the top of this page pins the label git:20261017.e0e159f, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_dqolcevv7rdpprwo.svg)](https://markdownregistry.com/a/art_dqolcevv7rdpprwo)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between May 20, 2026 and Oct 17, 2026, about one every 37 days.

versioncommittedcommitsizeaudit
git:20261017.e0e159f latest2026-10-17 e0e159f 24,686 BA view · diff
git:20260802.64e70c52026-08-02 64e70c5 22,235 BA view · diff
git:20260722.b000fd62026-07-22 b000fd6 21,381 BA view · diff
git:20260618.593a4ab2026-06-18 593a4ab 15,352 BA view · diff
git:20260520.7414ff12026-05-20 7414ff1 15,317 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (24686 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

GitHub

celigo/ai · 4 stars · license MIT · pushed 2026-10-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_dqolcevv7rdpprwo
GET https://markdownregistry.com/api/v1/resolve?ref=celigo/ai/configuring-ai-agents
GET https://markdownregistry.com/api/v1/blob/77bc259bfe52eff2f099e796db1fd9aec39968f097eea22fae57286db7e61988

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.

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