supply-chain-risk-auditor

supply-chain-risk-auditor is a skill for Claude Code from RedHatProductSecurity/prodsec-skills. It costs 37 tokens per session (1,537 once invoked), scanned A, a copy of supply-chain-risk-auditor, Apache-2.0.

A security review for software dependencies, meaning the external libraries and packages a project relies on. It looks for warning signs that a dependency could be taken over or used in a supply-chain attack.

In plain words
What is it for?
Use it when assessing a project's dependency attack surface or preparing a security engagement focused on third-party packages.
Why use it?
A project can be exposed through a package that is poorly maintained, controlled by too few people, or otherwise easy to compromise. This helps identify those risks before a wider security review.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the prodsec-skills plugin — 133 skills shipped together

Good fit Use it when assessing a project's dependency attack surface or preparing a security engagement focused on third-party packages.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/redhatproductsecurity/prodsec-skills/supply-chain-risk-auditor
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add RedHatProductSecurity/prodsec-skills --skill supply-chain-risk-auditor
Clone the repo
git clone --depth 1 https://github.com/RedHatProductSecurity/prodsec-skills

Made for: Claude Code.

Or install prodsec-skills, the plugin that ships this one along with the rest of its 133 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for supply-chain-risk-auditor

README.md
[![agentmods](https://agentmods.dev/badge/skills/redhatproductsecurity/prodsec-skills/supply-chain-risk-auditor/github.svg)](https://agentmods.dev/skills/redhatproductsecurity/prodsec-skills/supply-chain-risk-auditor)
Your own site
<a href="https://agentmods.dev/skills/redhatproductsecurity/prodsec-skills/supply-chain-risk-auditor"><img src="https://agentmods.dev/badge/skills/redhatproductsecurity/prodsec-skills/supply-chain-risk-auditor/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for supply-chain-risk-auditor

Your own site · 80×15
<a href="https://agentmods.dev/skills/redhatproductsecurity/prodsec-skills/supply-chain-risk-auditor"><img src="https://agentmods.dev/badge/skills/redhatproductsecurity/prodsec-skills/supply-chain-risk-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,537 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 86% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00037 $0.01537
Opus 5 $0.00018 $0.00768
Sonnet 5 $0.00007 $0.00307
Haiku 4.5 $0.00004 $0.00154

Measured 8d ago against content hash e4193eba1958, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

supply-chain-risk-auditor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

86% identical to supply-chain-risk-auditor — 75 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

module/skills/supply-chain-risk-auditor/SKILL.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Supply Chain Risk Auditor

Activates when the user says "audit this project's dependencies".

When to Use

  • Assessing dependency risk before a security audit
  • Evaluating supply chain attack surface of a project
  • Identifying unmaintained or risky dependencies
  • Pre-engagement scoping for supply chain concerns

When NOT to Use

  • Active vulnerability scanning (use dedicated tools like npm audit, pip-audit)
  • Runtime dependency analysis
  • License compliance auditing

Purpose

You systematically evaluate all dependencies of a project to identify red flags that indicate a high risk of exploitation or takeover. You generate a summary report noting these issues.

Risk Criteria

A dependency is considered high-risk if it features any of the following risk factors:

  • Single maintainer or team of individuals - The project is primarily or solely maintained by a single individual, or a small number of individuals. The project is not managed by an organization such as the Linux Foundation or a company such as Microsoft. If the individual is an extremely prolific and well-known contributor to the ecosystem, such as sindresorhus or Drew Devault, the risk is lessened but not eliminated. Conversely, if the individual is anonymous — that is, their GitHub identity is not readily tied to a real-world identity — the risk is significantly greater. Justification: If a developer is bribed or phished, they could unilaterally push malicious code. Consider the left-pad incident.
  • Unmaintained - The project is stale (no updates for a long period of time) or explicitly deprecated/archived. The maintainer may have put a note in the README.md or a GitHub issue that the project is inactive, understaffed, or seeking new maintainers. The project's GitHub repository may have a large number of issues noting bugs or security issues that the maintainers have not responded to. Feature request issues do NOT count. Justification: If vulnerabilities are identified in the project, they may not be patched in a timely manner.
  • Low popularity: The project has a relatively low number of GitHub stars and/or downloads compared to other dependencies used by the target. Justification: Fewer users means fewer eyes on the project. If malicious code is introduced, it will not be noticed in a timely manner.
  • High-risk features: The project implements features that by their nature are especially prone to exploitation, including FFI, deserialization, or third-party code execution. Justification: These dependencies are key to the target's security posture, and need to meet a high bar of scrutiny.
  • Presence of past CVEs: The project has high or critical severity CVEs, especially a large number relative to its popularity and complexity. Justification: This is not necessarily an indicator of concern for extremely popular projects that are simply subject to more scrutiny and thus are the subject of more security research.
  • Absence of a security contact: The project has no security contact listed in .github/SECURITY.md, CONTRIBUTING.md, README.md, etc., or separately on the project's website (if one exists). Justification: Individuals who discover a vulnerability will have difficulty reporting it in a safe and timely manner.

Read the full file on GitHub · 116 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 116 lines · 37 tokens per session scan A e4193eba1958

Subscribe to this mod's changes

supply-chain-risk-auditor is a skill published in the GitHub repository RedHatProductSecurity/prodsec-skills (52 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 37 tokens to every session and 1,537 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to supply-chain-risk-auditor, differing in 75 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens