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Dry Consolidation

Checked
laurigates·vlatest·writing·MIT

Dry Consolidation extracts key information from text, distilling it into concise summaries for rapid understanding and knowledge retention.

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 laurigates/claude-plugins --skill dry-consolidation -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

laurigates

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 laurigates/claude-plugins at 45d1d7dcf6.

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

Commit
45d1d7dcf6
Manifest
code-quality-plugin/skills/dry-consolidation/SKILL.md
Scanned
2 files, 299 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

dry-consolidation

What it does

This skill enables AI agents to perform dry consolidation, a technique for merging multiple text sources or responses into a single, coherent summary without executing any external actions or side effects. It helps streamline information processing by reducing redundancy while preserving key details from the input data.

When to use it

  • Synthesizing research notes: Combine fragmented findings from multiple documents into one unified report before taking action.
  • De-duplicating conversation history: Merge repetitive updates from an ongoing chat thread to create a concise status overview.
  • Pre-action verification: Generate a clean summary of proposed steps or data points before triggering execution workflows.
  • Cross-referencing outputs: Align results from different AI tools into a single narrative for human review.

Key capabilities

  • Merges multiple text inputs into one cohesive output
  • Removes redundancy while retaining essential information
  • Operates without executing external commands or side effects
  • Maintains context across disparate source materials

Example prompts

  • "Use dry-consolidation to merge these three project update emails into a single summary."
  • "Dry consolidate the following code review comments and pull request descriptions into one clear feedback list."
  • "Combine the outputs from my last three research queries about climate policy into a unified briefing."

Tips & gotchas

Ensure all input sources are complete and contextually aligned before consolidation to avoid losing nuance. This skill is purely text-based; it does not trigger any external actions or modify files directly.