Audit
CheckedAnalyzes data sources to identify inconsistencies, errors, and potential compliance issues with detailed reports.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add calm-north/seojuice-skills --skill audit -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
calm-north
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.
Automated safety checks
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 calm-north/seojuice-skills at c1f633bea5.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- c1f633bea5
- Manifest
- skills/audit/SKILL.md
- Scanned
- 1 file, 320 lines
About this skill
What it does
The audit skill enables AI agents to systematically review and analyze data, processes, or systems for accuracy, compliance, and efficiency. It can identify discrepancies, flag potential issues, and generate detailed reports based on predefined criteria.
When to use it
- To verify the integrity of financial records before submission.
- To ensure compliance with regulatory standards in a business process.
- To evaluate the performance of an AI model or system for errors or biases.
Key capabilities
- Data validation and verification
- Compliance checking against predefined rules
- Generation of detailed audit reports
Example prompts
- "Audit this financial report for any inconsistencies."
- "Check if this dataset meets GDPR compliance standards."
- "Run an audit on the model's predictions to identify biases."
Tips & gotchas
- Ensure that the criteria or rules used for auditing are clearly defined and up-to-date.
- Audit results may vary depending on the quality and completeness of the input data.