🛡️
QualityPython

Agent Supply Chain Integrity

by github

Agent Supply Chain Integrity is a Quality skill for Claude Code, published by github in awesome-copilot.

37.8K stars4.8K forkson github/awesome-copilotAdded 2026/08/13Repository updated 2026/08/13
agent-skillsagentsaiawesomecustom-agentsgithub-copilothacktoberfestprompt-engineering
Install in seconds
Install Agent Supply Chain Integrity
Copy Agent Supply Chain Integrity into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/github/awesome-copilot/tree/main/skills/agent-supply-chain ~/.claude/skills/agent-supply-chain

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/github/awesome-copilot.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/agent-supply-chain/SKILL.md in github/awesome-copilot
Installs to
~/.claude/skills/agent-supply-chain
Collection
One of 25 skills cataloged from this repository
Category
Quality1354 skills

What Agent Supply Chain Integrity does

Agent Supply Chain Integrity generates SHA-256 integrity manifests for AI agent plugins and verifies that installed files match those manifests, detecting tampering, missing files, or untracked changes. Use it before promoting plugins, during code review, or as a CI step to audit dependency pinning and establish provenance.

Agent Supply Chain Integrity is cataloged under Quality on DirSkills. Agent Supply Chain Integrity comes from a repository tagged agent-skills, agents, ai, awesome and custom-agents.

Documentation

README

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

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Agent Supply Chain Integrity

  • What else does github publish alongside Agent Supply Chain Integrity?

    Agent Supply Chain Integrity is one of 25 skills that DirSkills catalogs from github/awesome-copilot, the repository it ships in. Its siblings there include AI Prompt Engineering Safety Review, AI Readiness Assessment and AI Ready. Each one is a separate skill with its own page in this directory, installs the same way Agent Supply Chain Integrity does, and is maintained by github in that same repository. The rest of the collection is listed on the github/awesome-copilot page.

  • How does Agent Supply Chain Integrity compare to other Quality skills?

    Agent Supply Chain Integrity ranks #82 by stars among the 1354 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Agent Supply Chain Integrity against them. Open each page to compare what they document and how they install.

More from github/awesome-copilot

Agent Supply Chain Integrity is one of 25 skills cataloged on DirSkills from github/awesome-copilot.

See all 25 skills
🛡️
3w ago

AI Prompt Engineering Safety Review

AI Prompt Engineering Safety Review analyzes AI prompts for safety, bias, security vulnerabilities, and effectiveness, then provides structured improvement recommendations using systematic frameworks and testing methodologies.
AI Engineering
37.8K4.8K
📊
3w ago

AI Readiness Assessment

AI Readiness Assessment runs the AgentRC readiness scan on a repository and generates a static HTML dashboard at reports/index.html with maturity level, score, pillar breakdowns, and remediation plan. Use it when asked to audit, score, or assess the AI readiness of a codebase.
AI Engineering
37.8K4.8K
🤖
3w ago

AI Ready

AI Ready guides users to install and review the ai-ready skill. After installation, the skill analyzes the codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, and issue templates tailored to the stack.
AI Engineering
37.8K4.8K
🤖
3w ago

AI Team Orchestration

AI Team Orchestration bootstraps and runs a lightweight multi-agent development team with producer, developer, and optional QA roles. Use it for project planning, implementation, independent testing, brainstorming, and preserving context across sessions.
AI Engineering
37.8K4.8K
📚
3w ago

Acquire Codebase Knowledge

Acquire Codebase Knowledge scans a repository and produces seven documentation files covering stack, structure, architecture, conventions, integrations, testing, and concerns. Use it when you need to map, document, or onboard into an existing codebase.
Writing
37.8K4.8K
📊
3w ago

Ad Campaign Analyzer

Ad Campaign Analyzer turns raw ad campaign performance data into clear decisions on what to cut, scale, and test. Use it to diagnose wasted ad spend, identify top performers, check statistical significance, and reallocate budget across channels.
Data
37.8K4.8K