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Skills/astronomer/agents/airflow-hitl
airflow-hitl logo

airflow-hitl

astronomer/agents
682 installs390 stars
Run it on Hostinger, 20% off →Your friend gets 20% off too, using this linkFree API →|External DownloadsCommand ExecutionPrompt Injection|View on GitHub|Create your own skill →

Installation

npx skills add https://github.com/astronomer/agents --skill airflow-hitl

Summary

Use when the user needs human-in-the-loop workflows in Airflow (approval/reject, form input, or human-driven branching). Covers ApprovalOperator, HITLOperator, HITLBranchOperator, HITLEntryOperator, HITLTrigger. Requires Airflow 3.1+. Does not cover AI/LLM calls (see airflow-ai).

SKILL.md

Airflow Human-in-the-Loop Operators

Pause a DAG until a human responds via the Airflow UI or REST API. HITL operators are deferrable — they release their worker slot while waiting.

Requires Airflow 3.1+ (af config version). UI location: Browse → Required Actions. Respond from the task instance page's Required Actions tab. Cross-references: airflow-ai for AI/LLM task decorators; airflow for registry and API discovery commands used below.

---

Step 1 — Pick the capability you need

CapabilityClass (verify in Step 2)
Approve or reject; downstream skips on rejectApprovalOperator
Present N options and return which were chosenHITLOperator
Branch to one or more downstream tasks based on a choiceHITLBranchOperator
Collect a form (no approve/select step)HITLEntryOperator
Use the HITL trigger directly (advanced / custom operators)HITLTrigger

This is the only place class names are hardcoded. The provider adds, renames, and removes params across releases — do not copy parameter lists from memory. Fetch the current signature before writing code.

---

Step 2 — Discover the current signatures from the Airflow Registry

Before writing HITL code, run these to see the live roster and constructor params (see the airflow skill for the full af registry reference):

# Every HITL-related module in the standard provider
af registry modules standard \
  | jq '.modules[] | select(.import_path | test("\\.hitl\\.")) | {name, type, import_path, short_description, docs_url}'

# Constructor signatures: name, type, default, required, description
af registry parameters standard \
  | jq '.classes | to_entries[] | select(.key | test("\\.hitl\\.")) | {fqn: .key, parameters: .value.parameters}'

# Pin to the exact installed provider version
af config providers \
  | jq '.providers[] | select(.package_name == "apache-airflow-providers-standard") | .version'
# then: af registry parameters standard --version <VERSION>

If the registry shows a param that this skill does not mention, prefer the registry. If the registry shows a class that is not in Step 1, treat it as additive — the decision table above may be stale.

---

Step 3 — Canonical example (approval gate)

Starting point for any HITL task. Adapt by swapping the class name and params per Step 2.

from airflow.providers.standard.operators.hitl import ApprovalOperator
from airflow.sdk import dag, task, chain, Param
from pendulum import datetime

@dag(start_date=datetime(2025, 1, 1), schedule="@daily")
def approval_example():
    @task
    def prepare():
        return "Review quarterly report"

    approval = ApprovalOperator(
        task_id="approve_report",
        subject="Report Approval",
        body="{{ ti.xcom_pull(task_ids='prepare') }}",
        defaults="Approve",              # Auto-selected on timeout
        params={"comments": Param("", type="string")},
    )

    @task
    def after_approval(result):
        print(f"Decision: {result['chosen_options']}")

    chain(prepare(), approval)
    after_approval(approval.output)

approval_example()

For the other classes in Step 1, the shape is the same (task_id, subject, plus class-specific params). Verify each constructor through Step 2 — for example, HITLBranchOperator requires every option either to match a downstream task id directly or to be resolved via a mapping param surfaced in the registry.

---

Step 4 — Behavior contracts (stable across versions)

Timeout

  • With defaults set: task succeeds on timeout, default option(s) selected.
  • Without defaults: task fails on timeout.

Markdown + Jinja in body

body supports Markdown and is Jinja-templatable. Render XCom context directly:

body = """**Total Budget:** {{ ti.xcom_pull(task_ids='get_budget') }}

| Category | Amount |
|----------|--------|
| Marketing | $1M |
"""

Callbacks

All HITL operators accept the standard Airflow callback kwargs (on_success_callback, on_failure_callback, etc.).

Notifiers

HITL operators accept a notifiers list. Inside a notifier's notify(context) method, build a link to the pending task with HITLOperator.generate_link_to_ui_from_context(context, base_url=...).

Restricting who can respond

The parameter name and accepted identifier format depend on the active auth manager. Do not hardcode — check which one is active and which kwarg the current provider exposes:

af config show | jq '.auth_manager // .core.auth_manager'

Then look up the current kwarg in Step 2 (at the time of writing it is assigned_users, accepting identifiers in whatever format the active auth manager uses — Astro uses the Astro user ID, FabAuthManager uses email, SimpleAuthManager uses username).

---

Step 5 — Responding from external integrations

For Slack bots, custom apps, or scripts. Discover the live endpoint rather than hardcoding a path:

af api ls --filter hitl           # live endpoint list
af api spec \
  | jq '.paths | to_entries[] | select(.key | test("hitl"))'   # request/response schemas

The PATCH-to-respond pattern is stable; the exact path is discovered. Typical shape:

import os, requests

HOST = os.environ["AIRFLOW_HOST"]
TOKEN = os.environ["AIRFLOW_API_TOKEN"]
HEADERS = {"Authorization": f"Bearer {TOKEN}"}

# List pending — use the path from `af api ls --filter hitl`
requests.get(f"{HOST}/<path>", headers=HEADERS, params={"state": "pending"})

# Respond — same discovered path family, PATCH
requests.patch(
    f"{HOST}/<path>/{dag_id}/{run_id}/{task_id}",
    headers=HEADERS,
    json={"chosen_options": ["Approve"], "params_input": {"comments": "ok"}},
)

---

Step 6 — Safety checks

  • [ ] Airflow version ≥ 3.1 (af config version).
  • [ ] Constructor kwargs match the current registry output from Step 2 — no respondents-vs-assigned_users style drift.
  • [ ] For branching: every option resolves to a downstream task id (directly or via the mapping kwarg from Step 2).
  • [ ] Every value in defaults is also in options.
  • [ ] execution_timeout set; defaults configured if timeout should succeed rather than fail.
  • [ ] API token configured if external responders are part of the flow.

---

References

The upstream docs URL is surfaced per-module by the registry — do not hardcode:

af registry modules standard \
  | jq '.modules[] | select(.import_path | test("\\.hitl\\.")) | {name, docs_url}'

Related skills

  • airflow — af registry, af api, af config command reference.
  • airflow-ai — AI/LLM task decorators and GenAI patterns.
  • authoring-dags — general DAG writing best practices.
  • testing-dags — iterative test → debug → fix cycles.

Score

0–100
63/ 100

Grade

C

Popularity15/30

682 installs — growing adoption.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Airflow Hitl skill score badge previewScore badge

Markdown

[![Airflow Hitl skill](https://www.claudemarket.ai/skills/astronomer/agents/airflow-hitl/badges/score.svg)](https://www.claudemarket.ai/skills/astronomer/agents/airflow-hitl)

HTML

<a href="https://www.claudemarket.ai/skills/astronomer/agents/airflow-hitl"><img src="https://www.claudemarket.ai/skills/astronomer/agents/airflow-hitl/badges/score.svg" alt="Airflow Hitl skill"/></a>

Airflow Hitl FAQ

How do I install the Airflow Hitl skill?

Run “npx skills add https://github.com/astronomer/agents --skill airflow-hitl” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Airflow Hitl skill do?

Use when the user needs human-in-the-loop workflows in Airflow (approval/reject, form input, or human-driven branching). Covers ApprovalOperator, HITLOperator, HITLBranchOperator, HITLEntryOperator, HITLTrigger. Requires Airflow 3.1+. Does not cover AI/LLM calls (see airflow-ai). The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Airflow Hitl skill free?

Yes. Airflow Hitl is a free, open-source skill published from astronomer/agents. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Airflow Hitl work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Airflow Hitl works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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