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Github Actions

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nitinjain999
github-actions

Design, review, secure, and debug GitHub Actions workflows — reusable workflows, OIDC federation, SHA pinning, token scoping, promotion orchestration, and CI failure diagnosis.

Overview

Publishernitinjain999
Repositoryplatform-skills
Skill namegithub-actions
Stars
71
Forks
14
Bundled files
Instructions only
LicenseApache-2.0
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 nitinjain999 on GitHub. Read the source before you install it.

Installation

Install the Github Actions 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/nitinjain999/platform-skills/tree/main/plugins/platform-skills/skills/github-actions
  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/nitinjain999/platform-skills.git /tmp/platform-skills
mkdir -p .claude/skills
cp -r /tmp/platform-skills/plugins/platform-skills/skills/github-actions .claude/skills/github-actions
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Github Actions 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 Github Actions 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 Github Actions 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.

GitHub Actions Command

Structured guidance for designing, hardening, reviewing, and debugging GitHub Actions workflows.

Activation

/platform-skills:github-actions design    # reusable workflow or job graph design
/platform-skills:github-actions security  # OIDC, SHA pinning, token scoping, secrets hygiene
/platform-skills:github-actions review    # production-readiness checklist for an existing workflow
/platform-skills:github-actions debug     # diagnose a failing workflow or job

Interactive Wizard (fires when no mode is provided)

When invoked with no arguments, ask before proceeding:

Q1 — Mode?

What do you need?
  1. design    — reusable workflow, job graph, promotion pipeline
  2. security  — OIDC federation, SHA pinning, token scoping, secret hygiene
  3. review    — production-readiness checklist for an existing workflow file
  4. debug     — job failure, permission error, OIDC rejection, missing context

Enter 1–4 or mode name:

Q2 — Context (after mode selected):

  • design: Describe what the workflow should do — validate, build, promote, deploy?
  • security: Paste the workflow file or describe the auth pattern you are using.
  • review: Paste the workflow file or provide the path.
  • debug: Paste the error output or describe the failure symptom.

Mode: design

Triggers: design, build workflow, create pipeline, reusable workflow, job graph, promote, deploy flow

Read references/github-actions.md before responding.

Step 1 — Classify the workflow type

TypeWhen to use
Reusable workflow (workflow_call)Same job sequence needed across multiple repos or environments
Composite actionSame step sequence needed within job graphs — use /platform-skills:composite-actions
Standard workflowOne-off or repo-specific, not shared

Step 2 — Apply the canonical job pattern

Every workflow should follow this job order:

validate → build → [test] → promote → [deploy]
  • validate: lint, format, policy gates, unit checks — fast, no credentials
  • build: image or artifact packaging — OIDC to registry
  • promote: update version pin or overlay in Git — triggers GitOps reconciler
  • deploy: guarded apply only if not using GitOps

Keep jobs small and named by intent. If a job is hard to name, it is doing too much.

Step 3 — Reusable workflow structure

yaml
# .github/workflows/validate.yml — called by other workflows
on:
  workflow_call:
    inputs:
      environment:
        required: true
        type: string
        description: "Target environment (dev | staging | prod)"
    secrets:
      token:
        required: true

jobs:
  validate:
    runs-on: ubuntu-latest
    permissions:
      contents: read
    steps:
      - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0  # v7.0.0
        with:
          token: ${{ secrets.token }}

Step 4 — Promotion orchestration

Prefer updating Git over imperative deploys:

yaml
# promote job — updates the version pin in the GitOps repo
promote:
  needs: build
  runs-on: ubuntu-latest
  permissions:
    contents: write
  steps:
    - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0  # v7.0.0
    - name: Update image tag
      env:
        NEW_TAG: ${{ needs.build.outputs.image_tag }}
      run: |
        sed -i "s|image:.*|image: ghcr.io/org/app:${NEW_TAG}|" \
          deploy/overlays/${{ inputs.environment }}/kustomization.yaml
        git config user.email "ci@org.com"
        git config user.name "CI"
        git commit -am "chore: promote app to ${NEW_TAG} in ${{ inputs.environment }}"
        git push

Handoffs:

  • Extracting repeated steps → /platform-skills:composite-actions
  • Terraform plan/apply in the workflow → /platform-skills:terraform
  • GitOps reconciler that picks up the promotion commit → /platform-skills:gitops

Mode: security

Triggers: OIDC, pin, SHA, token, permissions, secrets, secure, harden, federation

Read references/github-actions.md before responding.

Repositories with Kubernetes manifests or Helm charts: the posture gate is /platform-skills:kubescape ci (signature-verified CLI install, fails PRs only on new findings). Do not use kubescape/github-action: its latest release bundles CLI v3.0.21 and its README pins @main.

OIDC federation — AWS

yaml
permissions:
  id-token: write    # required for OIDC token request
  contents: read

steps:
  - uses: aws-actions/configure-aws-credentials@254c19bd240aabef8777f48595e9d2d7b972184b  # v6.2.1
    with:
      role-to-assume: arn:aws:iam::123456789012:role/github-actions-deploy
      aws-region: eu-north-1

IAM trust policy (scope to repo and branch):

json
{
  "Condition": {
    "StringLike": {
      "token.actions.githubusercontent.com:sub": "repo:org/repo:ref:refs/heads/main"
    }
  }
}

OIDC federation — Azure

yaml
permissions:
  id-token: write
  contents: read

steps:
  - uses: azure/login@532459ea530d8321f2fb9bb10d1e0bcf23869a43  # v3.0.0
    with:
      client-id: ${{ secrets.AZURE_CLIENT_ID }}
      tenant-id: ${{ secrets.AZURE_TENANT_ID }}
      subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}

SHA pinning checklist

bash
# Resolve a tag to its current commit SHA
gh api repos/{owner}/{repo}/git/refs/tags/{tag} \
  --jq '.object.sha'

# For actions that use a commit SHA directly (not a tag ref):
gh api repos/{owner}/{repo}/commits/{tag} --jq '.sha'

Add the version as a comment so reviewers can audit without resolving the SHA manually:

yaml
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0  # v7.0.0

Token scoping — minimum permissions per job

Job typePermissions needed
Read-only checkoutcontents: read
Push a commitcontents: write
Create or comment on PRpull-requests: write
Publish packagespackages: write
OIDC token requestid-token: write
Read Issuesissues: read

Set permissions: {} at the workflow level to deny all, then grant per-job:

yaml
permissions: {}   # deny all at workflow level

jobs:
  build:
    permissions:
      contents: read
      id-token: write
      packages: write

Secret hygiene

  • Store secrets in GitHub Environments, not at repository level, for deployment secrets
  • Never print secrets: avoid echo $SECRET in run: steps
  • Mask dynamic secrets: echo "::add-mask::${DYNAMIC_SECRET}"
  • Rotate long-lived tokens on a schedule; prefer OIDC to eliminate them
  • Audit secret usage: gh secret list and gh secret list --env <env>

Mode: review

Triggers: review, audit, checklist, is this workflow safe, production ready

Ask the user to paste the workflow file or provide the path. Then evaluate against:

CRITICAL (must fix before merge)

❌ External `uses:` with mutable tag (@v4, @main, @latest) — supply chain risk; pin to full SHA
❌ `permissions: write-all` or no permissions block — grants all scopes by default
❌ `${{ github.event.*.body }}` or PR title interpolated in run: — script injection risk
❌ Long-lived cloud credentials stored as secrets — replace with OIDC
❌ `pull_request_target` with checkout of the PR head — arbitrary code execution risk

WARNING (should fix)

⚠️  No concurrency group — parallel runs on same branch can conflict or double-deploy
⚠️  No timeout-minutes on jobs — a hung job blocks runners indefinitely
⚠️  Secrets passed to untrusted third-party actions — scope secrets to first-party or audited actions only
⚠️  Environment protection rules not used for production deploys
⚠️  No required status checks on the branch protection rule this workflow targets

INFORMATIONAL

ℹ️  No dependabot.yml for github-actions ecosystem — action versions will drift
ℹ️  Reusable workflow could replace copy-pasted job sequence
ℹ️  Job name does not describe intent clearly

Report format:

## Review: <workflow-name>

### CRITICAL (N findings)
❌ Line 12: uses: actions/checkout@v4 — pin to SHA. Current SHA: <sha>

### WARNING (N findings)
⚠️  No concurrency group defined

### INFORMATIONAL (N findings)
ℹ️  No dependabot.yml for the github-actions ecosystem

### Score: N/15 — Poor | Fair | Good | Excellent

Mode: debug

Triggers: failing, error, permission denied, OIDC, 401, 403, missing context, debug, not working

Identify the failure layer first:

1. Syntax / parse error          → workflow YAML invalid
2. Permission / auth error       → token scoping, OIDC trust, secret missing
3. Missing context               → expression evaluates to empty, wrong event trigger
4. Action version mismatch       → SHA pinned to a version with a breaking change
5. Runner environment            → tool not available on runner image
6. Downstream service error      → cloud API, registry, or deploy target failing

Diagnosis by error type

Resource not accessible by integration / 403

yaml
# Check the permissions block — add the missing scope
permissions:
  contents: write       # missing if you get 403 on git push
  pull-requests: write  # missing if you get 403 on PR comment
  id-token: write       # missing if OIDC token request fails

OIDC rejection (Not authorized to perform sts:AssumeRoleWithWebIdentity)

  1. Confirm id-token: write is set on the job
  2. Check the IAM trust policy sub condition matches the exact repo/branch/env
  3. Confirm the workflow is running from the branch/environment specified in the condition
  4. For environment-scoped trust: repo:org/repo:environment:production — job must use environment: production
yaml
# Decode the OIDC token to inspect claims (add a debug step temporarily)
- name: Inspect OIDC token claims
  run: |
    TOKEN=$(curl -sSfL -H "Authorization: bearer $ACTIONS_ID_TOKEN_REQUEST_TOKEN" \
      "${ACTIONS_ID_TOKEN_REQUEST_URL}&audience=sts.amazonaws.com" | jq -r '.value')
    echo "${TOKEN}" | cut -d. -f2 | base64 -d 2>/dev/null | jq

Expression evaluates to empty

yaml
# Workflow inputs are empty in non-workflow_call events
# Guard with:
- if: ${{ inputs.environment != '' }}

Context access might be invalid

Caused by accessing a context that does not exist for the triggering event (e.g. github.event.pull_request on a push event). Check which contexts are available for the trigger.

Validation command

bash
# Lint the workflow file locally before pushing — syntax, expressions, shell
actionlint .github/workflows/<workflow>.yml

# Audit the same file for security findings — a valid workflow can still be unsafe
zizmor --strict-collection .github/workflows/<workflow>.yml

# Check recent run failures with full logs
gh run list --workflow <workflow>.yml --limit 10
gh run view <run-id> --log-failed

actionlint and zizmor do not overlap. actionlint answers "is this workflow valid" (syntax, expression types, shellcheck on run:). zizmor answers "is this workflow safe" (template injection, credential persistence, unpinned uses:, over-broad permissions:, impostor commits). Run both. For the full audit catalogue, policy file, and CI gate: /platform-skills:zizmor.


Common mistakes

  • pull_request_target + PR head checkout — runs with write permissions and access to secrets; combined with checkout of untrusted code this allows secret exfiltration. Never checkout ${{ github.event.pull_request.head.sha }} in a pull_request_target workflow.
  • Mutable action tags — @v4 can be rewritten by the action author; a supply chain compromise silently executes attacker code. Always pin to SHA.
  • Over-scoped GITHUB_TOKEN — default permissions can be broad depending on repo settings. Always set an explicit permissions: block.
  • Forgetting OIDC requires the job's environment to match the trust policy — if the trust uses environment:production, the job must declare environment: production or the token request is rejected.
  • workflow_dispatch with no input validation — inputs are free-text by default. Use type: choice for enum inputs and validate string inputs in the first step.

Reference

Full guidance: references/github-actions.md

For composite action scaffolding and review: /platform-skills:composite-actions

For workflow security auditing with zizmor (audit catalogue, zizmor.yml policy, auto-fix, CI gate, pre-commit): /platform-skills:zizmor

Examples:

  • examples/github-actions/terraform-cicd.yml — Terraform plan + apply with OIDC
  • examples/github-actions/container-build.yml — Docker build + GHCR push
  • examples/github-actions/reusable-workflows/ — reusable workflow patterns

Frequently asked questions

What does the Github Actions AI skill do?

Design, review, secure, and debug GitHub Actions workflows — reusable workflows, OIDC federation, SHA pinning, token scoping, promotion orchestration, and CI failure diagnosis.

Why use Github Actions on TypingMind?

Because you install it once and use it with any model. Github Actions 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 Github Actions in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nitinjain999/platform-skills/tree/main/plugins/platform-skills/skills/github-actions. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Github Actions?

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 Github Actions?

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

Is the Github Actions AI skill free?

Yes. It is published on GitHub by nitinjain999 under the Apache-2.0 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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