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Audit Support

Official
anthropics·vlatest·security·Apache-2.0

Quickly identifies compliance gaps, summarizes regulations, and generates audit documentation based on provided data.

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 anthropics/knowledge-work-plugins --skill audit-support -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

anthropics

Matched to the vendor's own GitHub organisation.

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 anthropics/knowledge-work-plugins at da38ec1ee8.

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

Commit
da38ec1ee8
Manifest
finance/skills/audit-support/SKILL.md
Scanned
1 file, 373 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

The audit-support skill enables AI agents to perform comprehensive reviews of financial records, compliance documentation, and operational workflows. It systematically identifies discrepancies, validates data integrity against established rules, and generates detailed reports on potential risks or non-conformities.

When to use it

  • Conducting quarterly internal audits to verify budget adherence and expense accuracy.
  • Preparing for external regulatory inspections by automating the collection and cross-referencing of compliance evidence.
  • Analyzing transaction logs to detect anomalies, fraud patterns, or unauthorized access attempts.
  • Validating that project deliverables meet specific contractual obligations before final sign-off.

Key capabilities

  • Automated data extraction from diverse financial and operational sources.
  • Rule-based validation against internal policies and external regulatory standards.
  • Generation of structured audit trails highlighting findings, evidence, and recommendations.
  • Identification of gaps between current operations and required compliance frameworks.

Example prompts

  • "Audit the Q3 expense reports against our travel policy and flag any violations over $500."
  • "Review the latest vendor contracts to ensure they comply with our data privacy regulations and list any missing clauses."
  • "Generate a preliminary audit report for the marketing department's cloud spending, comparing actual usage to the approved budget."

Tips & gotchas

Ensure your AI agent has read-only access to sensitive financial databases before initiating an audit cycle to prevent accidental data modification. While this skill excels at rule-based validation, complex subjective judgments regarding ethical nuances may still require human oversight.