Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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"
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Attribution: Sourced from github/awesome-copilot by GitHub Community, licensed MIT. Modified for this collection.
Generate and verify integrity manifests for AI agent plugins and tools. Detect tampering, enforce version pinning, and establish supply chain provenance.
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
Create a deterministic INTEGRITY.json with SHA-256 hashes of all plugin files.
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):
{
"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..."
}
Check that current files match the manifest.
# 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
Check that agent dependencies use pinned versions.
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
Use integrity verification as a gate before promoting plugins.
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}")
Add to your GitHub Actions workflow:
- 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')
"
| Practice | Rationale |
|---|---|
| Generate manifest after code review | Ensures reviewed code matches production code |
| Include manifest in the PR | Reviewers can verify what was hashed |
| Verify in CI before deploy | Catches post-review modifications |
| Chain hash for tamper evidence | Single hash represents entire plugin state |
| Exclude build artifacts | Only hash source files — .git, pycache, node_modules excluded |
| Pin all dependency versions | Unpinned deps = different code on every install |
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Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Adds educational comments to a code file so it becomes a learning resource, asking for the file (with a list of close matches) if none is given. Use when preparing code for learners, onboarding, or teaching.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's security posture before production deployment - Running a compliance check against OWASP ASI 2026 standards - Mapping existing security controls to the 10 agentic risks - Generating a compliance report for security review or audit - Comparing agent framework security features against the standard - Any request like "is my agent OWASP compliant?", "check ASI compliance", or "agentic security audit"
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.