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Existing CI/CD pipeline audit v1.0.0

Use this resource to audit an existing CI/CD pipeline

New

  • 581 downloads
  • 248 likes
  • 146 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ci-cd-pipeline-audit

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent reads the pipeline and deployment configurations, finds slow steps and security and reliability issues, then presents the report by severity. You get a list of fixes to apply.

Mostly picked by

Updated November 2, 2026

Card for the “Existing CI/CD pipeline audit” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: steps for reading config, checking slowness, security and reliability
  • .claude-plugin/plugin.json: plugin metadata

Good fit for

  • CI is slow on every push
  • You want to check the secrets and permissions of your workflows

Not for

    Tags

    • ci/cd
    • pipeline
    • security
    • reliability

    About

    You say

    “Why is our CI slow, and are there security flaws in our GitHub Actions workflows?”

    Card for the “Existing CI/CD pipeline audit” skill

    Skill published by tonone-ai <hello@tonone.ai> under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to audit an existing CI/CD pipeline
    3. Review and adjust the result

    Content preview

    Files

    • .claude-plugin/plugin.json0.5 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md3.3 KB

    Origin and licence

    Listed unmodified

    Author
    tonone-ai <hello@tonone.ai>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/ai-agency/tonone/skills/relay-audit
    Licence
    MIT

    Notice

    « relay-audit » (tonone-ai <hello@tonone.ai>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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