Secure Github Actions logo

Secure Github Actions

Organization
intercom
secure-github-actions

Harden GitHub Actions workflows against supply-chain and injection attacks when creating, modifying, or reviewing a `.github/workflows/*.yml` file. Skip for unrelated CI work (other CI providers, test harnesses, dependency pinning) that does not touch a workflow YAML.

Overview

Publisherintercom
Repository2x-skills
Skill namesecure-github-actions
Stars
251
Forks
14
Bundled files
3
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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Secure 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/intercom/2x-skills/tree/main/plugins/security-tools/skills/secure-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/intercom/2x-skills.git /tmp/2x-skills
mkdir -p .claude/skills
cp -r /tmp/2x-skills/plugins/security-tools/skills/secure-github-actions .claude/skills/secure-github-actions
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Secure 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 Secure 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 Secure 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.

Secure GitHub Actions

Enforces supply chain hardening rules for GitHub Actions workflows. Every rule below addresses a real vulnerability class found in security audits of production workflows.

When to Use

  • Writing a new .github/workflows/*.yml file
  • Modifying an existing workflow
  • Reviewing a PR that touches workflow files
  • Adding a secret, action reference, or reusable workflow call
  • Configuring claude-code-action or claude-code-base-action

When NOT to Use This Skill

This skill is specifically for GitHub Actions workflow YAML files. If you reach it but the actual task is one of the below, step aside: say in a single line that the rules here only apply to .github/workflows/*.yml edits and continue with the real task. Do not run the audit grep commands or the pre-PR checklist on unrelated code.

  • Other CI providers — any non-GitHub-Actions CI config (a Buildkite pipeline, a CircleCI/GitLab/Jenkins config, etc.) — use that provider's own tooling
  • Test / e2e harness setup (Playwright, Cypress, or any framework) that does not edit a workflow YAML
  • Dependency or lockfile pinning in a package manifest of any language (package.json, Gemfile, pom.xml, go.mod, requirements.txt, Cargo.toml, …) — even though supply-chain–adjacent, the rules below are about workflow YAML idioms
  • Generic CI investigation with no workflow file change in scope
  • Package supply-chain questions for any ecosystem (npm, RubyGems, Maven, Go modules, PyPI, crates, …) — use a package supply-chain scanner

If a workflow file is also in scope alongside one of the above, apply the rules to the workflow file and step aside for the rest.

The Rules

Rules 1-11: All Repositories

Rule 1: No ${{ }} in run: blocks

Never interpolate any ${{ }} expression directly in a run: block — route everything through env: variables. This applies to all expressions, not just attacker-controlled ones:

  • Attacker-controlled values (github.event.*, inputs.*) — shell injection risk
  • Secrets (secrets.*) — leak via set -x, shell errors, and process listings
  • Context values (github.repository, github.run_id, steps.*.outputs.*) — trains bad habits, zizmor flags them, and any future refactor that introduces attacker input into the same block inherits the anti-pattern
yaml
# VULNERABLE — attacker-controlled title executes as shell
run: |
  TITLE="${{ github.event.issue.title }}"

# ALSO WRONG — "not attacker-controlled" is not an excuse
run: |
  gh issue edit "${{ github.event.issue.number }}" --repo "${{ github.repository }}"
  curl -H "Authorization: Bearer ${{ secrets.GITHUB_TOKEN }}" "$URL"

# SAFE — env vars are set before shell parses the script
env:
  ISSUE_TITLE: ${{ github.event.issue.title }}
  ISSUE_NUMBER: ${{ github.event.issue.number }}
  REPO: ${{ github.repository }}
  GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
  echo "$ISSUE_TITLE"
  gh issue edit "$ISSUE_NUMBER" --repo "$REPO"

Why: GitHub expands ${{ }} expressions via string interpolation before the shell sees the script. A malicious issue title like "; curl attacker.com; " breaks out of quotes and executes arbitrary commands. Env vars are injected as process environment, not text substitution, so shell metacharacters are inert.

Even "safe" values like github.repository or secrets.GITHUB_TOKEN should go through env: — secrets can leak via set -x or shell error messages, and allowing some ${{ }} in run: blocks trains the pattern as acceptable, leading to copy-paste injection bugs when the same block is extended with attacker-controlled values later.

Simple rule: if you see ${{ }} inside a run: block, it's wrong. Move it to env:.

Highest-risk expressions (attacker-controlled — shell injection):

  • github.event.issue.title, .body
  • github.event.comment.body
  • github.event.pull_request.title, .body, .head.ref
  • github.event.label.name
  • github.event.review.body
  • inputs.* (workflow_dispatch, workflow_call)

Still wrong in run: blocks (not attacker-controlled, but banned):

  • secrets.* — leak risk via shell diagnostics
  • github.repository, github.run_id, github.server_url
  • steps.*.outputs.*, needs.*.outputs.*, job.status
  • github.event.issue.number, github.event.pull_request.number

Safe in with: blocks (YAML context, no shell): ${{ }} in action with: inputs is safe from shell injection, but still a prompt injection vector if passed to AI tools.

Rule 2: No secrets: inherit

Always use explicit secrets: mapping when calling reusable workflows. List exactly which secrets the called workflow needs.

yaml
# VULNERABLE — exposes ALL repo secrets to the called workflow
jobs:
  notify:
    uses: your-org/shared-workflows/.github/workflows/notify.yml@9f8e7d6c5b4a39281706f5e4d3c2b1a09f8e7d6c # v2.3.1
    secrets: inherit

# SAFE — only passes what's needed
jobs:
  notify:
    uses: your-org/shared-workflows/.github/workflows/notify.yml@9f8e7d6c5b4a39281706f5e4d3c2b1a09f8e7d6c # v2.3.1
    secrets:
      SLACK_BOT_TOKEN: ${{ secrets.SLACK_BOT_TOKEN }}

Why: secrets: inherit passes every secret the caller has access to. If the called workflow is compromised, every secret is exfiltrated. This is a well-documented real-world exfiltration path — incidents have traced back to a single secrets: inherit repeated across many workflows.

Rule 3: SHA-pin all action references

Pin every uses: reference to a full commit SHA with a version comment.

yaml
# VULNERABLE — mutable tag, can change without notice
uses: actions/checkout@v4
uses: anthropics/claude-code-action@v1
uses: anthropics/claude-code-base-action@beta

# SAFE — immutable SHA with human-readable comment
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
uses: anthropics/claude-code-action@ad30de060ff4bb30eaa7e07042e4aebacfae7dac # v1.0.29

How to resolve a SHA:

bash
# For tags:
gh api repos/{owner}/{repo}/git/ref/tags/{tag} --jq '.object.sha'
# For branches:
gh api repos/{owner}/{repo}/git/ref/heads/{branch} --jq '.object.sha'

Why: Tags and branches are mutable. A compromised upstream repo can point @v1 to malicious code. SHAs are immutable — the only tamper-proof reference.

Rule 4: Trusted actions only

Restrict which actions can run in your org (Settings → Actions → Allow select actions). A tight allowlist is a strong supply-chain control. A good baseline:

  • actions/*, github/* — GitHub first-party (org-level toggle)
  • Your own org's actions (your-org/*)
  • anthropics/* — Claude code actions, if used
  • A short, explicitly-vetted list of third-party actions you actually depend on (e.g. ruby/setup-ruby, pnpm/action-setup) — each pinned by SHA

Anything not on the allowlist is blocked. Before adding a new third-party action, prefer gh CLI or actions/github-script over taking on a new dependency.

yaml
# Instead of a third-party action:
- run: gh issue comment "$ISSUE_NUMBER" --body "Processed by CI"
  env:
    GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
    ISSUE_NUMBER: ${{ github.event.issue.number }}
Prefer native solutions over third-party actions

Before adding a third-party action — or widening the allowlist to permit one — ask whether the same behaviour is achievable with a few more lines of native code. If yes, use the native approach: it keeps the org's third-party action surface smaller, eliminates a SHA-pinning maintenance burden, and removes a supply chain attack vector entirely.

Native alternatives to reach for first:

NeedNative solution
GitHub API calls (labels, comments, PRs, issues)actions/github-script (always on allowlist)
gh CLI operationsrun: step with GH_TOKEN env var
Simple HTTP requestsrun: step with curl
File manipulation, string processingrun: step with standard shell tools
yaml
# AVOID — third-party action for a trivial operation
- uses: dessant/label-actions@abc123 # v4
  # Requires config file + adds third-party dep to supply chain

# PREFER — same behaviour as two GitHub API calls in actions/github-script
- name: Re-add label and explain
  uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
  with:
    script: |
      await github.rest.issues.createComment({
        owner: context.repo.owner,
        repo: context.repo.repo,
        issue_number: context.issue.number,
        body: ':wave: This label is managed by CI.'
      });
      await github.rest.issues.addLabels({
        owner: context.repo.owner,
        repo: context.repo.repo,
        issue_number: context.issue.number,
        labels: ['protected-label']
      });

The bar for keeping a third-party action: the native equivalent would require significantly more code or is clearly not maintainable inline (e.g., complex multi-step setup actions like ruby/setup-ruby). "A few more lines" is not a reason to keep a dependency.

Rule 5: Always declare permissions:

Every workflow MUST have a top-level permissions: block with least privilege. Even when the org default is read-only, declaring permissions explicitly is defense in depth — org defaults can change, and explicit is self-documenting.

yaml
permissions:
  contents: read
  issues: write
  pull-requests: read

Only add permissions the workflow actually needs. Common mistakes:

  • id-token: write when not using OIDC — remove it. Exception: reusable-workflow callers — if the job uses: a reusable workflow, do not strip id-token: write (or any scope) just because the caller's own steps don't reference it; the callee may need it. See "Reusable workflow callers: caller caps callee" in references/permission-scopes.md.
  • contents: write when only reading — use read (same caller exception)
  • Missing block entirely — defaults to repo-wide setting

Choosing or changing a scope? Read references/permission-scopes.md first. Load it before you add, remove, or narrow any scope — and before you conclude an existing one is unnecessary. In particular, load it when the workflow comments on PRs, manages labels, or edits PR metadata; when the job uses: a reusable workflow, whatever scopes the caller declares, including none; or when you are tempted to strip id-token: write because no step in front of you references OIDC.

It is a hard trigger rather than a "see also" because both failure modes it documents are silent. A clipped GITHUB_TOKEN scope 403s inside the callee while CI logs green; a clipped id-token: write fails at run creation with no logs at all. Neither is visible from the caller you are reading, so "the permissions block looks fine" is not a judgement you can reach without it.

Rule 6: No unpinned runtime dependencies

No npx @latest, no git clone at HEAD, no npm install without a lockfile.

yaml
# VULNERABLE
run: npx @modelcontextprotocol/server-github@latest
run: npx -y @sentry/mcp-server@latest
run: git clone https://github.com/org/repo.git && cd repo && npm install

# SAFE — pinned to exact version
run: npx @modelcontextprotocol/server-github@1.2.3
# SAFE — pinned to commit SHA with lockfile
env:
  REPO_SHA: "abc123def456"
run: |
  git clone https://github.com/org/repo.git
  cd repo
  git checkout "$REPO_SHA"
  npm ci

Common mistake: git clone --revision is not a valid git flag — it gets silently ignored, cloning HEAD instead of the pinned SHA. Use git clone followed by git checkout "$SHA". For shallow clones, use git fetch --depth 1 origin "$SHA" after init.

Why: @latest and HEAD are mutable references that resolve at runtime. A compromised package or repo delivers malicious code the next time the workflow runs.

Rule 7: Never checkout untrusted code with secrets

If using pull_request_target, never checkout the PR head in a job that has secrets. Split into two jobs:

yaml
jobs:
  # Job 1: Unprivileged — validates the PR
  validate:
    runs-on: ubuntu-latest
    permissions:
      contents: read
    outputs:
      safe: ${{ steps.check.outputs.safe }}
    steps:
      - name: Validate via API (no checkout of PR code)
        id: check
        env:
          GH_TOKEN: ${{ github.token }}
        run: |
          # Validate using GitHub API only — never run PR code

  # Job 2: Privileged — acts on validated PR (never checks out PR code)
  act:
    needs: validate
    if: needs.validate.outputs.safe == 'true'
    runs-on: ubuntu-latest
    steps:
      - name: Label PR via API
        env:
          GH_TOKEN: ${{ secrets.ELEVATED_TOKEN }}
          PR_NUMBER: ${{ github.event.pull_request.number }}
        run: gh pr edit "$PR_NUMBER" --add-label "validated"

Trusted script pattern (when you need both base code and PR history):

yaml
steps:
  - name: Checkout base branch (trusted code)
    uses: actions/checkout@SHA # pinned
  - name: Preserve trusted script
    run: cp script/security/scanner.rb /tmp/trusted_scanner.rb
  - name: Fetch PR head (for git history only)
    env:
      PR_NUMBER: ${{ github.event.issue.number }}
    run: |
      git fetch origin "pull/$PR_NUMBER/head"
      git checkout FETCH_HEAD
  - name: Run trusted script
    run: ruby /tmp/trusted_scanner.rb

Rule 8: No pull_request_target unless necessary

Prefer pull_request trigger. It runs in the context of the fork with no secrets access, which is safe by default.

pull_request_target grants secrets and write permissions to code triggered by a fork PR. If you must use it, document why in a YAML comment and follow the split-job pattern from Rule 7.

yaml
# SAFE default — use this
on:
  pull_request:
    types: [opened, synchronize]

# DANGEROUS — only if you need secrets for fork PRs, with documented justification
on:
  pull_request_target:  # Required because: [specific reason]
    types: [opened, synchronize]

Rule 9: Scope Claude/AI tool access when handling untrusted input

When using claude-code-action or claude-code-base-action on workflows that process untrusted input (issue bodies, PR diffs, external content), scope allowed_tools to limit blast radius from prompt injection.

yaml
# Higher risk — if the workflow processes untrusted input
with:
  allowed_tools: "Read,Write,Edit,Bash,Glob,Grep"

# Lower risk — scoped to specific CLI patterns
with:
  allowed_tools: "Read,Grep,Glob,Bash(gh issue:*),Bash(gh pr:*)"

Why: If Claude processes attacker-controlled content (issue bodies, PR diffs), prompt injection could lead to unintended command execution. Scoping Bash to specific patterns reduces the blast radius.

Rule 10: Actions creating or approving PRs

GitHub provides an org/repo setting — Allow GitHub Actions to create and approve pull requests — that is off by default, and turning it off is recommended: it closes a privilege-escalation path where a workflow self-approves or opens PRs. With it off, any workflow that tries to create or approve a PR fails with a permissions error.

If you keep it off (recommended), migrate workflows that create or approve PRs:

  • PR approvals / creation → Use a dedicated GitHub App with narrowly-scoped permissions and policy enforcement, not the Actions GITHUB_TOKEN

Remove any gh pr review --approve, gh pr create, or equivalent API calls from workflow run: blocks when the setting is off. If reviewing a workflow that still contains PR creation or approval steps under that policy, flag it as a required migration.

Rule 11: Guard GITHUB_ENV and GITHUB_PATH from untrusted input

Never write attacker-controlled values to GITHUB_ENV or GITHUB_PATH. These files modify the environment for all subsequent steps in the job.

yaml
# VULNERABLE — attacker-controlled label written to GITHUB_ENV
run: |
  echo "LABEL=${{ github.event.label.name }}" >> $GITHUB_ENV

# VULNERABLE — untrusted step can poison PATH for later steps
run: echo "/tmp/attacker-bin" >> $GITHUB_PATH

# SAFE — use env: block, don't propagate to GITHUB_ENV
env:
  LABEL: ${{ github.event.label.name }}
run: |
  echo "Processing $LABEL"

Why: A compromised or attacker-influenced step can set LD_PRELOAD, inject malicious binaries into PATH, or override variables consumed by later steps. Unlike env: blocks (scoped to one step), GITHUB_ENV persists across all subsequent steps in the job.

Public Repository Rules (Rules 12-14)

Public repos enforce three extra rules on top of Rules 1-11. Before reviewing, detect repo visibility:

bash
gh repo view --json visibility -q '.visibility'

If the result is PUBLIC, load references/public-repo-rules.md and enforce Rules 12-14 (LOTP / no secrets on fork PR builds, persist-credentials: false on checkout, and OIDC over long-lived cloud secrets) in addition to the all-repo rules above. Skip this reference for private repos — Rules 12-14 do not apply there.

Pre-PR Checklist

Run this against your workflow before submitting. Every item maps to a rule above.

[ ] No ${{ }} expressions of any kind in run: blocks (Rule 1)
[ ] No secrets: inherit — all secrets explicitly mapped (Rule 2)
[ ] Every uses: reference is SHA-pinned with version comment (Rule 3)
[ ] All actions are on the org allowlist (Rule 4)
[ ] Third-party actions replaced with native alternatives where feasible (Rule 4)
[ ] Top-level permissions: block with least privilege (Rule 5)
[ ] If calling a reusable workflow, caller permissions: grants at least every scope the callee declares (Rule 5)
[ ] Reusable-workflow caller: no scope stripped on "caller doesn't use it" reasoning — keep id-token: write (and others) the callee needs; stripping id-token: write causes startup_failure (Rule 5)
[ ] PR-commenting workflows keep pull-requests: write — scope mapped by target resource, not API namespace; existing write scopes not downgraded without checking the steps (Rule 5)
[ ] No npx @latest, git clone at HEAD, or npm install without lockfile (Rule 6)
[ ] If pull_request_target: no PR head checkout in jobs with secrets (Rule 7)
[ ] pull_request used instead of pull_request_target where possible (Rule 8)
[ ] Claude allowed_tools scoped if workflow processes untrusted input (Rule 9)
[ ] No PR creation or approval steps if the org setting is off — use a GitHub App (Rule 10)
[ ] No attacker-controlled values written to GITHUB_ENV or GITHUB_PATH (Rule 11)
[ ] (Public repos) No secrets in fork PR build jobs (Rule 12)
[ ] (Public repos) persist-credentials: false on checkout (Rule 13)
[ ] (Public repos) OIDC tokens over long-lived secrets for cloud auth (Rule 14)

Quick Audit Command

To scan an existing set of workflows for violations of the rules above, load references/audit-commands.md — it ships one command per rule (stray ${{ }} in run:, secrets: inherit, unpinned uses:, missing permissions:, unpinned npx, PR creation/approval, unscoped Claude Bash, GITHUB_ENV/GITHUB_PATH writes, missing persist-credentials).

Common Mistakes

MistakeWhy It's WrongFix
Using a third-party action for a trivial operationAdds supply chain surface, SHA maintenance, and may need allowlist wideningReplace with actions/github-script, gh CLI, or run: step
echo "${{ github.event.issue.title }}"Shell injection before echo runsUse env: + $ISSUE_TITLE
curl -H "Bearer ${{ secrets.TOKEN }}"Secret leaks via set -x or shell errorsUse env: GH_TOKEN: ${{ secrets.TOKEN }}
git clone --revision "$SHA" repo.git--revision is not a valid git flag — silently clones HEADUse git clone then git checkout "$SHA"
secrets: inherit with @main refAll secrets exposed if upstream compromisedExplicit secrets: mapping
Dropping the secrets: block when the callee declares accepted inputsCallee falls back to its default (often ${{ github.token }} with caller-bounded scopes); if you needed a different token or override, the side effect silently failsRead the callee's top-level secrets: declaration; explicitly map every input you need with ${{ secrets.X }}
uses: action@v1Tag can be force-pushed to malicious commitSHA-pin: action@abc123 # v1
npx package@latestResolves to whatever is published right nowPin exact version
pull_request_target + actions/checkout of PR headUntrusted code runs with secretsSplit into unprivileged + privileged jobs
Omitting permissions: blockInherits repo default (may be write-all)Declare minimum permissions
Reusable-workflow caller with no permissions: blockCaller's read-only default clips callee's write requests → silent runtime failure (workflow logs green, side effect never happens)Add top-level permissions: mirroring every scope the callee declares (e.g., issues: write for label-management callees)
pull-requests: read on a workflow that comments on PRs (because the call "uses issues.createComment")Commenting on a PR with the GITHUB_TOKEN needs pull-requests: write — issues: write does not cover PR comments; comment API returns 403 at runtimeUse pull-requests: write for PR comments; map scope by the target resource, not the API method's namespace (issues: write stays correct for issue comments)
Downgrading an existing write scope to read during a least-privilege pass without checking the stepsThe workflow may write to that resource at runtime (PR comments, label edits) → silent 403Only remove scopes the workflow does not use; read every step before narrowing an existing write
Stripping id-token: write (or any scope) from a reusable-workflow caller because no caller step uses itThe callee may use it (e.g. OIDC cloud auth); caller caps callee, so a clipped id-token is rejected at run creation → startup_failure (no jobs, no logs)Keep scopes a reusable-workflow caller passes through; verify against the callee's permissions: or keep + comment
gh pr review --approve or gh pr create in a workflow when the org setting is offActions cannot create or approve PRs under that policyMigrate approvals/creation to a dedicated GitHub App
allowed_tools: "Bash" on Claude processing untrusted inputPrompt injection leads to unintended command executionScope: Bash(gh:*)
echo "$INPUT" >> $GITHUB_ENVPoisons environment for all subsequent stepsUse step-level env: instead
persist-credentials: true (default)Credentials in .git/config leak via artifactsSet persist-credentials: false
Long-lived cloud keys as secretsHigh blast radius, no expiryUse OIDC token exchange

Response Style

When applying these rules — reviewing a workflow, answering a question, or writing a new file — output the findings, not the process. This skill's body is long (twelve rules plus a pre-PR checklist); paraphrasing it back adds tokens and hides the verdict.

  • Lead with the verdict or the diff. For a review: which rules are violated (by number) and where. For a new workflow: the corrected YAML. For a question: the answer.
  • No narration of the review flow. Skip "Now I'll check each rule…", "Let me look at the run: blocks…", "The workflow uses…". If a rule is clean, do not name it; silence is the pass signal.
  • No re-recitation of the rule text. Cite the rule by number ("Rule 1 violation: ${{ github.event.issue.title }} in run: at line 42"); do not paste the rule's explanation back from the body — the reader can see it here.
  • Show corrected YAML, not prose about corrections. A three-line diff is a better fix than a paragraph describing one.
  • One-line step-aside for out-of-scope tasks. When the task doesn't touch a workflow YAML (see "When NOT to Use This Skill"), say so in a single sentence and continue — do not walk through the checklist first.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Secure Github Actions AI skill do?

Harden GitHub Actions workflows against supply-chain and injection attacks when creating, modifying, or reviewing a `.github/workflows/*.yml` file. Skip for unrelated CI work (other CI providers, test harnesses, dependency pinning) that does not touch a workflow YAML.

Why use Secure Github Actions on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/intercom/2x-skills/tree/main/plugins/security-tools/skills/secure-github-actions. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Secure 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 Secure Github Actions?

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

Is the Secure Github Actions AI skill free?

Yes. It is published on GitHub by intercom 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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