competition-container-runtime
Helps your agent analyze how containers run. It investigates how containers operate, where secrets are used, and how they interact.
What it does
This tool compares what a program (container) is actually doing in real-time versus what it's supposed to do according to its original instructions. It helps understand where secret information is used and how additional programs (sidecars, init containers) affect behavior.
When to use it
- ✓When a running program differs from expectations.
- ✓To find out where a secret (sensitive information) is being used.
- ✓To understand how extra programs change the functionality.
Example of what to ask your AI
“Why is the secret 'db_password' being used by the 'app.py' process and not 'worker.py' as the manifest indicates?”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
It analyzes the running program, comparing it against the original configurations. It maps how information reaches the program, from where it's stored to how it's accessed.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add zhaoxuya520/reverse-skill --skill competition-container-runtimeOr download just the file:
curl -L https://raw.githubusercontent.com/zhaoxuya520/reverse-skill/main/CTF-Sandbox-Orchestrator/competition-container-runtime/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Competition Container Runtime
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 challenge is really about what the live container or pod is doing now, not what the checked-in manifest claims it should do.
Reply in Simplified Chinese unless the user explicitly requests English.
Quick Start
- Split intent from reality: manifest, image, startup, live mount, live route, live process.
- Map host -> proxy -> container or pod -> mounted volume -> consuming process.
- Keep secrets, rendered config, init output, and sidecar output separate from static manifests.
- Prove one minimal live path from mounted or injected state to reachable behavior.
- Reproduce the effect with the smallest runtime-specific chain.
Workflow
1. Map The Live Runtime
- Compare compose or kube manifests against running containers, pods, mounted volumes, env, sidecars, init containers, and entrypoints.
- Identify which process actually consumes the mounted secret, rendered config, or shared volume output.
2. Trace Route And Mount Boundaries
- Map virtual host, reverse proxy, service, container port, filesystem mount, and runtime-generated file paths together.
- Record whether the decisive state is image-baked, env-injected, mounted later, or written by an init/sidecar process.
3. Report The Runtime Deviation
- State the earliest point where live runtime diverges from checked-in intent.
- Keep one compact evidence chain from manifest or compose intent to live consumer behavior.
Read This Reference
- Load
references/container-runtime.mdfor the runtime checklist, mount-chain checklist, and common live-vs-static pitfalls. - If the hard part is kube API permissions, service-account trust, RBAC edges, admission mutations, or controller-created workload drift, prefer
$competition-k8s-control-plane. - If the hard part is Host-header routing, path-prefix rewriting, or route-to-service mapping across nodes, prefer
$competition-runtime-routing. - If the hard part is proving container-to-host crossover, kernel attack-surface preconditions, or stable escape primitives, prefer
$competition-kernel-container-escape. - If the hard part is replaying Linux secrets, socket trust edges, or host-to-host pivots after container foothold, prefer
$competition-linux-credential-pivot.
What To Preserve
- Compose/Kubernetes fragments tied to live mounts or routes
- Container IDs, pod names, mount paths, sidecar outputs, rendered config paths, and consuming processes
- The exact route or file path that becomes reachable only at runtime
FAQ
What's the difference between what the program should do and what it actually does?
The program should follow the 'manifest' (original plan) instructions, but sometimes it behaves differently when actually running. This tool identifies those differences.
What are 'sidecars' and 'init containers'?
These are additional programs that run alongside or before the main program. They can modify how the main program functions or access information.
How does this tool discover where secrets are used?
It traces the path of secret information, from where it's stored (mounted) to which program accesses and uses it.
Details
Original description by the author
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for live container runtime analysis, mounted secrets, sidecars, namespaces, init containers, entrypoint drift, and route-to-container resolution. Use when the user asks why a live container differs from manifests, where a mounted secret is consumed, how a sidecar or init container changes runtime state, or which route res
Popularity
- GitHub stars
- 42k
- Ranking position
- #4710
- License
- MIT
- Updated
- 9/22/2026
Comments
- …
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