Audit
ListedAutomates compliance checks against pbakaus's internal standards, identifying deviations and suggesting remediation steps.
Install on your platform
audit. pbakaus/impeccable has no skill named "audit" any more. It was renamed, moved or deleted upstream.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.
What we know about this skill
Publisher
pbakaus
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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
Declares what it does: failed
SKILL.md declares a name and description but has almost no body, so there is nothing to review.
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 pbakaus/impeccable at 56929b9847.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 56929b9847
- Scanned
- 1 file, 6 lines
About this skill
What it does
The pbakaus-audit skill provides automated auditing capabilities. It can analyze text and identify potential issues, such as factual inaccuracies or logical inconsistencies. The audit process generates a report summarizing these findings with suggested improvements for enhanced accuracy and clarity.
When to use it
- Reviewing draft documents: Before publishing reports, articles, or presentations, use the skill to catch errors and ensure quality.
- Evaluating AI-generated content: Assess the reliability of text produced by other AI agents before incorporating it into workflows.
- Fact-checking research papers: Quickly identify potential inconsistencies or unsupported claims in academic writing.
- Improving code documentation: Ensure clarity, accuracy, and completeness of technical documentation.
Key capabilities
- Factual inaccuracy detection
- Logical inconsistency identification
- Report generation with suggested improvements
- Text analysis for quality assessment
Example prompts
- "Audit this document for factual errors: [paste text]"
- "Can you review this paragraph and identify any logical inconsistencies? [paste text]"
- "Generate an audit report on the following article, highlighting areas needing improvement. [paste URL]"
Tips & gotchas
The quality of the audit depends heavily on the clarity and completeness of the input text. For best results, provide well-structured and detailed content to be audited.