competition-cloud-metadata-path

A specialized guide for CTF cloud-metadata challenges. CTFs are security exercises, and cloud metadata services can expose information about the identity and permissions of a virtual machine or workload.

In plain words
What is it for?
Tracing instance, workload, node, or task identities; documenting credential paths; and reproducing the smallest metadata-to-privilege route in a sandbox.
Why use it?
It helps separate access to metadata from receiving credentials and proving that those credentials are accepted for a privileged action.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/2233admin/reverse-skill-evolver/competition-cloud-metadata-path
Any agent
npx skills add 2233admin/reverse-skill-evolver --skill competition-cloud-metadata-path
Clone the repo
git clone --depth 1 https://github.com/2233admin/reverse-skill-evolver

Made for: Claude Code, Codex.

Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 675 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% 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 $0.00118 $0.00675
Opus 5 $0.00059 $0.00338
Sonnet 5 $0.00024 $0.00135
Haiku 4.5 $0.00012 $0.00068

Measured 2d ago against content hash 5f15e808652c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

competition-cloud-metadata-path 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 2d 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

100% identical to competition-cloud-metadata-path — 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.

CTF-Sandbox-Orchestrator/competition-cloud-metadata-path/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Competition Cloud Metadata Path

Use this skill only as a downstream specialization after $ctf-sandbox-orchestrator is already active and has established sandbox assumptions, node ownership, and evidence priorities. If that has not happened yet, return to $ctf-sandbox-orchestrator first.

Use this skill when the decisive edge is not just reaching metadata, but proving how metadata-derived identity becomes accepted privilege.

Reply in Simplified Chinese unless the user explicitly requests English.

Quick Start

  1. Identify which metadata surface is active: instance metadata, workload identity, node identity, task role, or platform-specific token endpoint.
  2. Record the exact reachability path: local process, pod, container, proxy, SSRF surface, or host route.
  3. Separate metadata reachability from credential issuance and from downstream privilege acceptance.
  4. Keep token format, role identity, scope, and accepting API in compact evidence blocks.
  5. Reproduce the smallest metadata-to-accepted-privilege path that proves the challenge edge.

Workflow

1. Map Metadata Reachability

  • Record the metadata endpoint, required headers, hop limits, session tokens, workload selectors, or path prefixes.
  • Note whether access comes from direct local calls, pod networking, SSRF, sidecar, or host-level routing.
  • Keep the reaching surface and the metadata endpoint in one chain.

2. Prove Credential Or Identity Issuance

  • Show how the metadata response becomes a token, temporary credential, signed identity doc, or platform-specific workload identity.
  • Record expiration, role name, subject, audience, issuer, or cloud account mapping that matters downstream.
  • Distinguish raw metadata from usable credential material.

3. Reduce To The Decisive Trust Path

  • Compress the result to the smallest sequence: reaching surface -> metadata call -> credential issued -> accepted cloud or cluster action.
  • State clearly whether the weakness lives in reachability, metadata config, role trust, downstream policy, or workload binding.
  • If the challenge narrows to RBAC or cluster mutation after credential issuance, switch back to the tighter control-plane skill.

Read the full file on GitHub · 52 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago First seen · 52 lines · 118 tokens per session scan A 5f15e808652c

Subscribe to this mod's changes

competition-cloud-metadata-path is a skill published in the GitHub repository 2233admin/reverse-skill-evolver (13 stars, last pushed 21d ago), licensed MIT. It adds 118 tokens to every session and 675 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to competition-cloud-metadata-path, differing in 0 lines, and is treated as a copy.

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