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Supply Chain

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nitinjain999
supply-chain

Secure the software supply chain from source to running container. Covers Cosign keyless image signing (Sigstore/Rekor), SBOM generation and attestation (Syft), vulnerability scanning with severity gates (Trivy/Grype), SLSA Level 2 provenance, and Kyverno/OPA admission enforcement. All open-source, no license cost. Use when asked to "sign my image", "generate an SBOM", "scan for CVEs", "attest build provenance", "enforce image signatures in Kubernetes", or "implement SLSA".

Overview

Publishernitinjain999
Repositoryplatform-skills
Skill namesupply-chain
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 Supply Chain 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/supply-chain
  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/supply-chain .claude/skills/supply-chain
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Supply Chain 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 Supply Chain 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 Supply Chain 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 the software supply chain — from the build pipeline to running containers.


Interactive Wizard (fires when no arguments are provided)

When invoked with no arguments, ask before proceeding:

Q1 — Mode?

What do you need?
  1. audit    — review an existing CI/CD pipeline for supply chain security gaps
  2. sign     — set up keyless image signing with Cosign (Sigstore/Rekor, no key management)
  3. sbom     — generate and attest an SBOM with Syft
  4. scan     — add a CVE vulnerability gate with Trivy or Grype
  5. enforce  — write a Kyverno policy to block unsigned images at admission
  6. slsa     — generate a SLSA Level 2 provenance workflow

Enter 1–6 or mode name:

Q2 — Context (after mode selected, one at a time):

  • audit: Paste your GitHub Actions workflow file(s) or describe your current CI/CD pipeline:
  • sign: Which container registry? (ECR / GHCR / Docker Hub / other):
  • sbom: Which image and registry? (e.g. ghcr.io/org/image):
  • scan: Which scanner preference? Trivy (recommended) or Grype — or no preference:
  • enforce: Which registry or image prefix should the policy cover? (e.g. ghcr.io/myorg/*):
  • slsa: Which registry and repo? (e.g. ghcr.io/org/image from github.com/org/repo):

Then proceed into the relevant mode below.


Mode: audit

Review an existing CI/CD pipeline and cluster admission configuration for supply chain security gaps.

Steps:

  1. Ask for or read: the GitHub Actions workflow file(s), any existing image scanning steps, and any Kyverno/OPA admission policies
  2. Classify gaps by severity:
    • Critical: images pushed without signing, no CVE gate, unsigned images admitted to cluster
    • High: SBOM not generated or not attested, severity gate only on CRITICAL (misses HIGH)
    • Medium: action versions pinned to tag not SHA, no SLSA provenance
  3. Output a prioritised gap list:
    [CRITICAL] No image signing — any image can be admitted to the cluster
    [CRITICAL] No CVE severity gate — vulnerable images pass CI
    [HIGH]     No SBOM attestation — cannot audit what is running
    [MEDIUM]   Action versions pinned to tag, not SHA
  4. Recommend the fix order: sign → scan-gate → SBOM → enforce → SLSA

Reference: references/supply-chain.md → Gap classification, Fix order

Mode: sign

Set up keyless image signing with Cosign using Sigstore/Rekor (no key management required).

Steps:

  1. Confirm the image registry (ECR, GHCR, Docker Hub) and CI platform (GitHub Actions assumed)
  2. Generate the signing workflow step:
    yaml
    - name: Install Cosign
      uses: sigstore/cosign-installer@11086d9f32b178aa24e93c2b86eba3ef4b16b68a  # v3.8.1
    
    - name: Sign image
      run: |
        cosign sign --yes \
          ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}@${{ steps.build.outputs.digest }}
  3. Explain the keyless flow: GitHub Actions OIDC token → Fulcio CA → Rekor transparency log
  4. Show verification command:
    bash
    cosign verify \
      --certificate-identity-regexp="https://github.com/<org>/<repo>/.github/workflows/.*" \
      --certificate-oidc-issuer="https://token.actions.githubusercontent.com" \
      ghcr.io/<org>/<image>@<digest>
  5. Flag: always sign the digest (@sha256:…), never the tag — tags are mutable

Key rules:

  • Never store signing keys in CI secrets — use keyless only
  • Always sign the digest, not the tag
  • Pin cosign-installer to a full SHA, e.g.: sigstore/cosign-installer@11086d9f32b178aa24e93c2b86eba3ef4b16b68a

Reference: references/supply-chain.md → Keyless signing, Rekor transparency log

Mode: sbom

Generate a Software Bill of Materials with Syft and attest it as an OCI artifact alongside the image.

Steps:

  1. Add the SBOM generation step after build and push (digest is only available after registry push):
    yaml
    - name: Generate SBOM
      uses: anchore/sbom-action@61119d458adab75f756bc0b9e4bde25725f86a7a  # v0.20.0
      with:
        image: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}@${{ steps.build.outputs.digest }}
        format: spdx-json
        output-file: sbom.spdx.json
    
    - name: Attest SBOM
      run: |
        cosign attest --yes \
          --predicate sbom.spdx.json \
          --type spdxjson \
          ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}@${{ steps.build.outputs.digest }}
  2. Show how to retrieve the SBOM attestation:
    bash
    cosign download attestation \
      --predicate-type https://spdx.dev/Document \
      ghcr.io/<org>/<image>@<digest> | jq '.payload | @base64d | fromjson'
  3. Note: use spdx-json format for broadest tooling compatibility; cyclonedx-json is an alternative

Reference: references/supply-chain.md → SBOM formats, Syft, Attestation

Mode: scan

Add a CVE vulnerability scan with a configurable severity gate that fails the build.

Steps:

  1. Add Trivy scan step:
    yaml
    - name: Scan image for vulnerabilities
      uses: aquasecurity/trivy-action@18f2135c0b15d26b3a4c2efded75e06b6f0e4884  # v0.30.0
      with:
        image-ref: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}@${{ steps.build.outputs.digest }}
        format: table
        exit-code: '1'
        ignore-unfixed: true
        vuln-type: os,library
        severity: CRITICAL,HIGH
  2. Explain ignore-unfixed: true — skip CVEs with no fix available (reduces noise without reducing security)
  3. For Grype (alternative), show:
    yaml
    - name: Scan with Grype
      uses: anchore/scan-action@e1165082ffb1fe366ebaf02d8526e7c4989ea9d2  # v7.4.0
      with:
        image: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}@${{ steps.build.outputs.digest }}
        fail-build: true
        severity-cutoff: high
  4. Recommend Trivy for new setups (CNCF, single binary, SBOM support); Grype for teams already using Syft

Reference: references/supply-chain.md → Trivy vs Grype, Severity gates

Mode: enforce

Generate a Kyverno ImageValidatingPolicy that blocks unsigned or unverified images at admission time.

Finding where unsigned images already run: Kubescape reports them as control C-0237 "Check if signature exists" (/platform-skills:kubescape-operator, or kubescape scan control C-0237 on a cluster). Use that list to size the rollout before switching the policy to Deny.

Steps:

  1. Ask: keyless (Sigstore) or key-based signing?
  2. For keyless, generate:
    yaml
    apiVersion: policies.kyverno.io/v1
    kind: ImageValidatingPolicy
    metadata:
      name: require-signed-images
    spec:
      validationActions: [Audit]   # switch to [Deny] after all images are signing
      matchConstraints:
        resourceRules:
        - apiGroups: [""]
          apiVersions: ["v1"]
          operations: ["CREATE", "UPDATE"]
          resources: ["pods"]
      matchImageReferences:
      - glob: "ghcr.io/<org>/*"
      validations:
      - expression: >
          images.containers.map(image, verifyImageSignatures(image, [{"keyless": {
            "url": "https://fulcio.sigstore.dev",
            "rekor": {"url": "https://rekor.sigstore.dev"},
            "identities": [{"issuer": "https://token.actions.githubusercontent.com",
              "subjectRegExp": "https://github.com/<org>/.*"}]
          }}])).all(e, e > 0)
        message: "Image must be signed via Sigstore keyless signing from GitHub Actions"
  3. Show audit-first deployment:
    yaml
    spec:
      validationActions: [Audit]   # start here, switch to [Deny] after validation
  4. Cross-reference: /platform-skills:kyverno for full ImageValidatingPolicy guidance

Reference: references/supply-chain.md → Kyverno enforcement, references/kyverno.md → ImageValidatingPolicy

Mode: slsa

Generate a GitHub Actions workflow for SLSA Level 2 provenance using slsa-github-generator.

Steps:

  1. Explain what SLSA L2 gives: signed provenance linking the artifact to the specific build inputs (source commit, workflow, runner)
  2. Generate the workflow using the official reusable workflow:
    yaml
    jobs:
      build:
        runs-on: ubuntu-latest
        outputs:
          digest: ${{ steps.build.outputs.digest }}
        permissions:
          contents: read
          packages: write
        steps:
          - name: Build and push image
            id: build
            uses: docker/build-push-action@48aba3b46d1b1fec4febb7c5d0c644b249a11355  # v6.10.0
            with:
              push: true
              tags: ghcr.io/<org>/<image>:${{ github.sha }}
    
      provenance:
        needs: build
        permissions:
          actions: read
          id-token: write
          packages: write
        uses: slsa-framework/slsa-github-generator/.github/workflows/generator_container_slsa3.yml@5a775b367a56d5bd118a224a811bba288150a563  # v2.0.0
        with:
          image: ghcr.io/<org>/<image>
          digest: ${{ needs.build.outputs.digest }}
          registry-username: ${{ github.actor }}
        secrets:
          registry-password: ${{ secrets.GITHUB_TOKEN }}
  3. Show provenance verification:
    bash
    slsa-verifier verify-image \
      ghcr.io/<org>/<image>@<digest> \
      --source-uri github.com/<org>/<repo> \
      --source-branch main
  4. Note: generator_container_slsa3.yml produces L2 provenance by default; L3 requires hermetic builds not available on standard GitHub-hosted runners

Reference: references/supply-chain.md → SLSA levels, slsa-github-generator


Signing and SBOMs cover what the pipeline produces. They say nothing about the pipeline itself — an unpinned uses: or a pull_request_target checkout of untrusted code compromises the build before any artifact exists. To audit the workflows that run this supply chain, including unpinned-uses hash-pin policy enforcement, use /platform-skills:zizmor. They also say nothing about whether a credential leaked into the repo that produces this artifact in the first place — for that, live-validate and revoke with /platform-skills:kingfisher.


After completing this task, log errors and learnings via /platform-skills:self-improve log.

Frequently asked questions

What does the Supply Chain AI skill do?

Secure the software supply chain from source to running container. Covers Cosign keyless image signing (Sigstore/Rekor), SBOM generation and attestation (Syft), vulnerability scanning with severity gates (Trivy/Grype), SLSA Level 2 provenance, and Kyverno/OPA admission enforcement. All open-source, no license cost. Use when asked to "sign my image", "generate an SBOM", "scan for CVEs", "attest build provenance", "enforce image signatures in Kubernetes", or "implement SLSA".

Why use Supply Chain on TypingMind?

Because you install it once and use it with any model. Supply Chain 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 Supply Chain in TypingMind?

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

Which AI models can use Supply Chain?

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 Supply Chain?

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

Is the Supply Chain 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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