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Payram Analytics

Checked
payram·vlatest·data

Analyze financial transactions, identify trends, and generate actionable insights using Payram's advanced analytics engine.

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-analytics -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-analytics/SKILL.md
Scanned
1 file, 467 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 provides analytical capabilities, enabling AI agents to process and interpret data. It can perform calculations on numerical datasets and generate reports based on the analysis. The skill is designed to augment agent decision-making by providing data-driven insights.

When to use it

  • Analyzing sales figures to identify trends and predict future performance.
  • Calculating key metrics from a dataset, such as average order value or customer lifetime value.
  • Generating reports summarizing financial data for stakeholders.
  • Evaluating the effectiveness of marketing campaigns based on collected data.

Key capabilities

  • Numerical calculations
  • Data analysis
  • Report generation

Example prompts

  • "Analyze this sales data and tell me what the average monthly revenue was last year."
  • "Calculate the total number of customers who made a purchase in Q3 2024 from this dataset."
  • “Generate a report summarizing website traffic for the past month, including page views and bounce rate.”

Tips & gotchas

The skill requires numerical data as input. Ensure the provided data is clean and properly formatted to avoid inaccurate results.