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Ci Validation Gates

CommunityPopular
bradygaster
ci-validation-gates

Defensive CI/CD patterns: semver validation, token checks, retry logic, and draft detection

Overview

Publisherbradygaster
Repositorysquad
Skill nameci-validation-gates
Stars
3.3K
Forks
506
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by bradygaster on GitHub. Read the source before you install it.

Installation

Install the Ci Validation Gates AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/bradygaster/squad/tree/dev/packages/squad-cli/templates/skills/ci-validation-gates
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/bradygaster/squad.git /tmp/squad
mkdir -p .claude/skills
cp -r /tmp/squad/packages/squad-cli/templates/skills/ci-validation-gates .claude/skills/ci-validation-gates
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ci Validation Gates in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ci Validation Gates on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ci Validation Gates is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Context

CI workflows must be defensive. These patterns capture lessons from prior release incidents; they are maintained as version-agnostic gates rather than claims about a particular repository release.

Patterns

Semver Validation Gate

Every publish workflow MUST validate version format before npm publish. 4-part versions (e.g., 0.8.21.4) are NOT valid semver — npm mangles them.

yaml
- name: Validate semver
  run: |
    VERSION="${{ github.event.release.tag_name }}"
    VERSION="${VERSION#v}"
    if ! npx semver "$VERSION" > /dev/null 2>&1; then
      echo "❌ Invalid semver: $VERSION"
      echo "Only 3-part versions (X.Y.Z) or prerelease (X.Y.Z-tag.N) are valid."
      exit 1
    fi
    echo "✅ Valid semver: $VERSION"

NPM Token Type Verification

NPM_TOKEN MUST be an Automation token, not a User token with 2FA:

  • User tokens require OTP — CI can't provide it → EOTP error
  • Create Automation tokens at npmjs.com → Settings → Access Tokens → Automation
  • Verify before first publish in any workflow

Retry Logic for npm Registry Propagation

npm registry uses eventual consistency. After npm publish succeeds, the package may not be immediately queryable.

  • Propagation: typically 5-30s, up to 2min in rare cases
  • All verify steps: 5 attempts, 15-second intervals
  • Log each attempt: "Attempt 1/5: Checking package..."
  • Exit loop on success, fail after max attempts
yaml
- name: Verify package (with retry)
  run: |
    MAX_ATTEMPTS=5
    WAIT_SECONDS=15
    for attempt in $(seq 1 $MAX_ATTEMPTS); do
      echo "Attempt $attempt/$MAX_ATTEMPTS: Checking $PACKAGE@$VERSION..."
      if npm view "$PACKAGE@$VERSION" version > /dev/null 2>&1; then
        echo "✅ Package verified"
        exit 0
      fi
      [ $attempt -lt $MAX_ATTEMPTS ] && sleep $WAIT_SECONDS
    done
    echo "❌ Failed to verify after $MAX_ATTEMPTS attempts"
    exit 1

Draft Release Detection

Draft releases don't emit release: published event. Workflows MUST:

  • Trigger on release: published (NOT created)
  • If using workflow_dispatch: verify release is published via GitHub API before proceeding

Installer and Generated-Artifact Gates

  • Pin downloaded scripts and binaries to an immutable release or commit; never execute a moving branch reference.
  • Use curl -f (normally curl -fsSL) so HTTP failures cannot be interpreted as scripts.
  • Download to a named file before execution when practical, then remove it after a successful install. This leaves a diagnosable artifact if the installer fails.
  • Use set -euo pipefail in Bash steps. When a download must feed an extractor, pipefail prevents the extractor from masking a failed download.
  • Lint and validate canonical workflow sources and every committed generated/template mirror. A successful source-only check does not prove the artifact that executes is valid.
  • Keep suppressions narrow: exact tool diagnostic plus exact affected path, and revalidate them when the pinned tool changes.

The root build invokes scripts/bump-build.mjs, which can mutate package versions. For local root validation, run SKIP_BUILD_BUMP=1 npm run build; do not run a bare npm run build. Alternatively, use an existing CI environment that guarantees no mutation. In either case, MUST verify the package manifests and lockfile are unchanged afterward. Prefer an affected workspace build when it covers the check. Never let a validation build rewrite package versions or create a version-only diff.

Known Failure Modes

#What HappenedRoot CausePrevention
1Invalid version published, registry mangled itNo semver validation gatenpx semver check before every publish
2CI failed 5+ times with EOTPUser token with 2FAAutomation token only
3Verify returned false 404No retry logic for propagation5 attempts, 15s intervals
4Workflow never triggeredDraft release doesn't emit eventNever create draft releases

Anti-Patterns

  • ❌ Publishing without semver validation gate
  • ❌ Single-shot verification without retry
  • ❌ Hard-coded secrets in workflows
  • ❌ Silent CI failures — every error needs actionable output with remediation
  • ❌ Assuming npm publish is instantly queryable

Frequently asked questions

What does the Ci Validation Gates AI skill do?

Defensive CI/CD patterns: semver validation, token checks, retry logic, and draft detection

Why use Ci Validation Gates on TypingMind?

Because you install it once and use it with any model. Ci Validation Gates is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ci Validation Gates in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bradygaster/squad/tree/dev/packages/squad-cli/templates/skills/ci-validation-gates. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ci Validation Gates?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ci Validation Gates?

As many as you like. As long as a model supports skills, you can use Ci Validation Gates with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ci Validation Gates AI skill free?

Yes. It is published on GitHub by bradygaster under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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