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Plan Audit

Checked
xiaolai·vlatest·productivity·ISC

Helps with planning, auditing as part of agent workflows workflows.

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 xiaolai/vmark --skill plan-audit -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

xiaolai

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 xiaolai/vmark at 241a25302e.

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

Scanned
1 file, 63 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

The plan-audit skill enables AI agents to systematically review and validate project plans, ensuring alignment with defined goals and constraints. It helps identify potential gaps or inefficiencies before execution begins.

When to use it

  • Before launching a complex multi-step task to verify the proposed strategy.
  • When reviewing a generated roadmap for logical consistency and completeness.
  • To double-check that all required resources and timelines are accounted for in a plan.
  • During the initial setup phase of a new project to catch early-stage planning errors.

Key capabilities

  • Systematic review of structured project plans.
  • Validation of alignment between goals and proposed actions.
  • Identification of logical gaps or missing steps in workflows.
  • Constraint checking against specified resources and deadlines.

Example prompts

  • "Run a plan-audit on this Q4 marketing strategy to check for timeline conflicts."
  • "Audit the current software migration plan for any missing dependency checks."
  • "Use plan-audit to review the proposed event logistics schedule against our budget constraints."

Tips & gotchas

Ensure the input plan is clearly structured, as the skill relies on defined goals and steps to perform an effective audit. Provide specific constraints (e.g., budget limits or resource availability) in your prompt for more targeted feedback.