Agent Supply Chain logo

Agent Supply Chain

OrganizationPopular
github
agent-supply-chain

Verify supply chain integrity for AI agent plugins, tools, and dependencies. Use this skill when: - Generating SHA-256 integrity manifests for agent plugins or tool packages - Verifying that installed plugins match their published manifests - Detecting tampered, modified, or untracked files in agent tool directories - Auditing dependency pinning and version policies for agent components - Building provenance chains for agent plugin promotion (dev → staging → production) - Any request like "verify plugin integrity", "generate manifest", "check supply chain", or "sign this plugin"

Overview

Publishergithub
Repositoryawesome-copilot
Skill nameagent-supply-chain
Stars
39.1K
Forks
5K
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 github on GitHub. Read the source before you install it.

Installation

Install the Agent 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.
  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/github/awesome-copilot.git /tmp/awesome-copilot
mkdir -p .claude/skills
cp -r /tmp/awesome-copilot/skills/agent-supply-chain .claude/skills/agent-supply-chain
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent 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 Agent 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 Agent 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.

Agent Supply Chain Integrity

Generate and verify integrity manifests for AI agent plugins and tools. Detect tampering, enforce version pinning, and establish supply chain provenance.

Overview

Agent plugins and MCP servers have the same supply chain risks as npm packages or container images — except the ecosystem has no equivalent of npm provenance, Sigstore, or SLSA. This skill fills that gap.

Plugin Directory → Hash All Files (SHA-256) → Generate INTEGRITY.json
Later: Plugin Directory → Re-Hash Files → Compare Against INTEGRITY.json
                                          Match? VERIFIED : TAMPERED

When to Use

  • Before promoting a plugin from development to production
  • During code review of plugin PRs
  • As a CI step to verify no files were modified after review
  • When auditing third-party agent tools or MCP servers
  • Building a plugin marketplace with integrity requirements

Pattern 1: Generate Integrity Manifest

Create a deterministic INTEGRITY.json with SHA-256 hashes of all plugin files.

python
import hashlib
import json
from datetime import datetime, timezone
from pathlib import Path

EXCLUDE_DIRS = {".git", "__pycache__", "node_modules", ".venv", ".pytest_cache"}
EXCLUDE_FILES = {".DS_Store", "Thumbs.db", "INTEGRITY.json"}

def hash_file(path: Path) -> str:
    """Compute SHA-256 hex digest of a file."""
    h = hashlib.sha256()
    with open(path, "rb") as f:
        for chunk in iter(lambda: f.read(8192), b""):
            h.update(chunk)
    return h.hexdigest()

def generate_manifest(plugin_dir: str) -> dict:
    """Generate an integrity manifest for a plugin directory."""
    root = Path(plugin_dir)
    files = {}

    for path in sorted(root.rglob("*")):
        if not path.is_file():
            continue
        if path.name in EXCLUDE_FILES:
            continue
        if any(part in EXCLUDE_DIRS for part in path.relative_to(root).parts):
            continue
        rel = path.relative_to(root).as_posix()
        files[rel] = hash_file(path)

    # Chain hash: SHA-256 of all file hashes concatenated in sorted order
    chain = hashlib.sha256()
    for key in sorted(files.keys()):
        chain.update(files[key].encode("ascii"))

    manifest = {
        "plugin_name": root.name,
        "generated_at": datetime.now(timezone.utc).isoformat(),
        "algorithm": "sha256",
        "file_count": len(files),
        "files": files,
        "manifest_hash": chain.hexdigest(),
    }
    return manifest

# Generate and save
manifest = generate_manifest("my-plugin/")
Path("my-plugin/INTEGRITY.json").write_text(
    json.dumps(manifest, indent=2) + "\n"
)
print(f"Generated manifest: {manifest['file_count']} files, "
      f"hash: {manifest['manifest_hash'][:16]}...")

Output (INTEGRITY.json):

json
{
  "plugin_name": "my-plugin",
  "generated_at": "2026-04-01T03:00:00+00:00",
  "algorithm": "sha256",
  "file_count": 12,
  "files": {
    ".claude-plugin/plugin.json": "a1b2c3d4...",
    "README.md": "e5f6a7b8...",
    "skills/search/SKILL.md": "c9d0e1f2...",
    "agency.json": "3a4b5c6d..."
  },
  "manifest_hash": "7e8f9a0b1c2d3e4f..."
}

Pattern 2: Verify Integrity

Check that current files match the manifest.

python
# Requires: hash_file() and generate_manifest() from Pattern 1 above
import json
from pathlib import Path

def verify_manifest(plugin_dir: str) -> tuple[bool, list[str]]:
    """Verify plugin files against INTEGRITY.json."""
    root = Path(plugin_dir)
    manifest_path = root / "INTEGRITY.json"

    if not manifest_path.exists():
        return False, ["INTEGRITY.json not found"]

    manifest = json.loads(manifest_path.read_text())
    recorded = manifest.get("files", {})
    errors = []

    # Check recorded files
    for rel_path, expected_hash in recorded.items():
        full = root / rel_path
        if not full.exists():
            errors.append(f"MISSING: {rel_path}")
            continue
        actual = hash_file(full)
        if actual != expected_hash:
            errors.append(f"MODIFIED: {rel_path}")

    # Check for new untracked files
    current = generate_manifest(plugin_dir)
    for rel_path in current["files"]:
        if rel_path not in recorded:
            errors.append(f"UNTRACKED: {rel_path}")

    return len(errors) == 0, errors

# Verify
passed, errors = verify_manifest("my-plugin/")
if passed:
    print("VERIFIED: All files match manifest")
else:
    print(f"FAILED: {len(errors)} issue(s)")
    for e in errors:
        print(f"  {e}")

Output on tampered plugin:

FAILED: 3 issue(s)
  MODIFIED: skills/search/SKILL.md
  MISSING: agency.json
  UNTRACKED: backdoor.py

Pattern 3: Dependency Version Audit

Check that agent dependencies use pinned versions.

python
import re

def audit_versions(config_path: str) -> list[dict]:
    """Audit dependency version pinning in a config file."""
    findings = []
    path = Path(config_path)
    content = path.read_text()

    if path.name == "package.json":
        data = json.loads(content)
        for section in ("dependencies", "devDependencies"):
            for pkg, ver in data.get(section, {}).items():
                if ver.startswith("^") or ver.startswith("~") or ver == "*" or ver == "latest":
                    findings.append({
                        "package": pkg,
                        "version": ver,
                        "severity": "HIGH" if ver in ("*", "latest") else "MEDIUM",
                        "fix": f'Pin to exact: "{pkg}": "{ver.lstrip("^~")}"'
                    })

    elif path.name in ("requirements.txt", "pyproject.toml"):
        for line in content.splitlines():
            line = line.strip()
            if ">=" in line and "<" not in line:
                findings.append({
                    "package": line.split(">=")[0].strip(),
                    "version": line,
                    "severity": "MEDIUM",
                    "fix": f"Add upper bound: {line},<next_major"
                })

    return findings

Pattern 4: Promotion Gate

Use integrity verification as a gate before promoting plugins.

python
def promotion_check(plugin_dir: str) -> dict:
    """Check if a plugin is ready for production promotion."""
    checks = {}

    # 1. Integrity manifest exists and verifies
    passed, errors = verify_manifest(plugin_dir)
    checks["integrity"] = {
        "passed": passed,
        "errors": errors
    }

    # 2. Required files exist
    root = Path(plugin_dir)
    required = ["README.md"]
    missing = [f for f in required if not (root / f).exists()]

    # Require at least one plugin manifest (supports both layouts)
    manifest_paths = [
        root / ".github/plugin/plugin.json",
        root / ".claude-plugin/plugin.json",
    ]
    if not any(p.exists() for p in manifest_paths):
        missing.append(".github/plugin/plugin.json (or .claude-plugin/plugin.json)")

    checks["required_files"] = {
        "passed": len(missing) == 0,
        "missing": missing
    }

    # 3. No unpinned dependencies
    mcp_path = root / ".mcp.json"
    if mcp_path.exists():
        config = json.loads(mcp_path.read_text())
        unpinned = []
        for server in config.get("mcpServers", {}).values():
            if isinstance(server, dict):
                for arg in server.get("args", []):
                    if isinstance(arg, str) and "@latest" in arg:
                        unpinned.append(arg)
        checks["pinned_deps"] = {
            "passed": len(unpinned) == 0,
            "unpinned": unpinned
        }

    # Overall
    all_passed = all(c["passed"] for c in checks.values())
    return {"ready": all_passed, "checks": checks}

result = promotion_check("my-plugin/")
if result["ready"]:
    print("Plugin is ready for production promotion")
else:
    print("Plugin NOT ready:")
    for name, check in result["checks"].items():
        if not check["passed"]:
            print(f"  FAILED: {name}")

CI Integration

Add to your GitHub Actions workflow:

yaml
- name: Verify plugin integrity
  run: |
    PLUGIN_DIR="${{ matrix.plugin || '.' }}"
    cd "$PLUGIN_DIR"
    python -c "
    from pathlib import Path
    import json, hashlib, sys

    def hash_file(p):
        h = hashlib.sha256()
        with open(p, 'rb') as f:
            for c in iter(lambda: f.read(8192), b''):
                h.update(c)
        return h.hexdigest()

    manifest = json.loads(Path('INTEGRITY.json').read_text())
    errors = []
    for rel, expected in manifest['files'].items():
        p = Path(rel)
        if not p.exists():
            errors.append(f'MISSING: {rel}')
        elif hash_file(p) != expected:
            errors.append(f'MODIFIED: {rel}')
    if errors:
        for e in errors:
            print(f'::error::{e}')
        sys.exit(1)
    print(f'Verified {len(manifest[\"files\"])} files')
    "

Best Practices

PracticeRationale
Generate manifest after code reviewEnsures reviewed code matches production code
Include manifest in the PRReviewers can verify what was hashed
Verify in CI before deployCatches post-review modifications
Chain hash for tamper evidenceSingle hash represents entire plugin state
Exclude build artifactsOnly hash source files — .git, pycache, node_modules excluded
Pin all dependency versionsUnpinned deps = different code on every install

Related Resources

Frequently asked questions

What does the Agent Supply Chain AI skill do?

Verify supply chain integrity for AI agent plugins, tools, and dependencies. Use this skill when: - Generating SHA-256 integrity manifests for agent plugins or tool packages - Verifying that installed plugins match their published manifests - Detecting tampered, modified, or untracked files in agent tool directories - Auditing dependency pinning and version policies for agent components - Building provenance chains for agent plugin promotion (dev → staging → production) - Any request like "verify plugin integrity", "generate manifest", "check supply chain", or "sign this plugin"

Why use Agent Supply Chain on TypingMind?

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

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

Which AI models can use Agent 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 Agent Supply Chain?

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

Is the Agent Supply Chain AI skill free?

Yes. It is published on GitHub by github 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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