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Payram Webhook Integration

Checked
payram·vlatest·backend

Helps with webhooks, integration as part of agent workflows workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add payram/payram-mcp --skill payram-webhook-integration -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

payram

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned payram/payram-helper-mcp-server at 3d9abc6b30.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3d9abc6b30
Manifest
skills/payram-webhook-integration/SKILL.md
Scanned
1 file, 398 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables your AI agent to receive and process data from external webhooks. It allows the agent to trigger actions or update its state based on events happening in other systems, like receiving notifications from a project management tool or updating inventory levels upon an e-commerce transaction. The webhook integration provides a flexible way for your agent to interact with various APIs and services.

When to use it

  • Automated Notifications: Receive updates from external services (e.g., GitHub, Slack) and trigger actions within the AI agent's workflow.
  • Data Synchronization: Keep data in sync between different systems by receiving webhook events and updating internal databases or knowledge bases.
  • Event-Driven Actions: Initiate specific tasks or processes based on real-time events reported through webhooks (e.g., automatically create a support ticket when a new error is logged).
  • Integration with Third-Party APIs: Connect to services that offer webhook functionality, expanding the agent's capabilities and data sources.

Key capabilities

  • Webhook URL configuration
  • Data parsing from incoming webhook payloads
  • Event triggering based on parsed data
  • Support for various content types (e.g., JSON, XML)

Example prompts

  • "Set up a webhook to receive notifications from my Jira instance when a ticket is updated."
  • "When I get a webhook payload with 'status: failed', trigger the 'retry_process' function."
  • “Configure this webhook to expect a JSON payload and extract the ‘order_id’ field.”

Tips & gotchas

  • Ensure the AI agent has network access to receive incoming webhooks.
  • Be mindful of rate limits imposed by the external service providing the webhook; implement error handling and retry mechanisms as needed.