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.
npx skills add SecurityTalent/bugskill-ai --skill dependency-confusiongit clone --depth 1 https://github.com/SecurityTalent/bugskill-aiWrote 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.
[](https://agentmods.dev/skills/securitytalent/bugskill-ai/dependency-confusion)<a href="https://agentmods.dev/skills/securitytalent/bugskill-ai/dependency-confusion"><img src="https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/dependency-confusion/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.
<a href="https://agentmods.dev/skills/securitytalent/bugskill-ai/dependency-confusion"><img src="https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/dependency-confusion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00056 | $0.02356 |
| Opus 5.5 | $0.00022 | $0.00942 |
| Sonnet 5.5 | $0.00011 | $0.00471 |
| Haiku 4.5 | $0.00006 | $0.00236 |
Grade A, and why
dependency-confusion scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
# curl "https://search.maven.org/solrsearch/select?q=g:com.example+AND+a:internal-lib&rows=1&wt=json" This is a copy
100% identical to dependency-confusion — 0 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.
How it starts
The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL: Dependency Confusion — Supply Chain Attack Playbook
AI LOAD INSTRUCTION: Expert dependency-confusion methodology. Covers how private package names leak, how public registries can win version resolution, ecosystem-specific pitfalls (npm scopes, pip extra indexes, Maven repo order), recon commands, non-destructive PoC patterns (callbacks, not data exfil), and defensive controls. Pair with supply-chain recon workflows when manifests or CI caches are in scope. Only use on systems and programs you are authorized to test.
0. QUICK START
What to look for first
- Manifests listing package names that look internal (short unscoped names, org-specific tokens, product codenames) without a hard-private registry lock.
- Evidence the same name might exist—or be squattable—on a public registry with a higher semver than the private feed publishes.
- Lockfiles missing, stale, or not enforced in CI so
install/buildcan drift toward public metadata.
Fast mental model: If the resolver can see both private and public indexes, and version ranges allow it, the “newest” matching version may be the attacker’s.
Routing note: if the task comes from supply-chain, repository exposure, or CI-build recon, first use recon-for-sec to list internal package names and possible public-registry collisions.
1. CORE CONCEPT
- Private packages: An organization ships libraries only on an internal registry (or under conventions that imply “ours”), e.g. a scoped name like
@org-scope/internal-utilsor an unscoped name such asacme-billing-sdk. - Attacker squats the name: The same package name is published on a public registry (npmjs, PyPI, RubyGems, etc.).
- Resolver preference: Many setups resolve highest matching version across all configured indexes (or merge metadata), so a public
9.9.9can beat a private1.2.3if ranges allow. - Execution: Package managers run lifecycle scripts (npm
preinstall/postinstall, setuptools entry points, etc.) → attacker code runs on developer laptops, CI, or production image builds.
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.
- 1mo ago First seen · 179 lines · 56 tokens per session scan A 8da1209f3125
dependency-confusion is a skill published in the GitHub repository SecurityTalent/bugskill-ai (13 stars, last pushed 21d ago), licensed MIT. It adds 56 tokens to every session and 2,356 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to dependency-confusion, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
vmware-vks
Use this skill whenever the user needs to manage vSphere Kubernetes Service (VKS) — Supervisor clusters, vSphere Namespaces, and TKC cluster lifecycle. Directly handles: check VKS compatibility, create/delete namespaces, create/scale/upgrade/delete TKC clusters, get kubeconfig, check Harbor registry. Always use this…
dockerfile-optimizer
Audits Dockerfiles for multi-stage build efficiency, layer caching, non-root security, and minimal base image footprint.
Kubernetes编排
A guide for using Kubernetes, a system that deploys and manages containerized applications across servers.
Kubernetes验证器
A guide for checking Kubernetes configuration files, commonly written in YAML, and the resources they define.
Docker容器化
A guide for packaging applications in Docker containers, including architecture, configuration, performance, and microservice design.
容器镜像管理
A guide for managing container images, which are packaged files used to create running containers, in image repositories.