Mmcp.market

competition-relay-coercion-chain skill

by zhaoxuya520·zhaoxuya520/reverse-skill·39k stars·MIT

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for forced-auth coercion, relay chains, target selection, NTLM or related acceptance paths, and coercion-to-privilege transitions. Use when the user asks to trace a coercion primitive, follow a relay path, analyze forced authentication, determine which service accepts relayed auth, or connect a coercion step to resulting privilege, enrollment, or code execution. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

A100/100content scan

Is the competition-relay-coercion-chain skill safe?

Clean: nothing in its files matched our rules. We read 3 files in the folder on 2026-09-28.

No findings.

Install the competition-relay-coercion-chain skill

A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.

git clone --depth 1 https://github.com/zhaoxuya520/reverse-skill.git /tmp/reverse-skill
mkdir -p ~/.claude/skills
cp -r /tmp/reverse-skill/CTF-Sandbox-Orchestrator/competition-relay-coercion-chain ~/.claude/skills/competition-relay-coercion-chain
available in every project

In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub

The instructions your agent would load

SKILL.md as published, without the frontmatter. Read it on GitHub

Competition Relay Coercion Chain

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 hard part is proving the full chain from forced authentication to a service that actually accepts the relayed identity.

Reply in Simplified Chinese unless the user explicitly requests English.

Quick Start

  1. Split the chain into coercion source, captured auth, relay target, acceptance point, and resulting effect.
  2. Record transport, protocol, and service identity at each hop.
  3. Separate forced-auth generation from relay success and from downstream privilege.
  4. Keep coercion trigger, relay transcript, and accepting service in one evidence chain.
  5. Reproduce the smallest coercion-to-acceptance path that proves the decisive edge.

Workflow

1. Map The Coercion Source

  • Identify the service, RPC, file path, printer path, WebDAV edge, or protocol trigger that forces authentication.
  • Record source host, coerced principal, transport, and any environmental preconditions.
  • Keep one compact note of exactly what causes the auth to leave the source.

2. Trace The Relay Target

  • Record where the authentication lands, how it is forwarded, and which protocol or service consumes it.
  • Distinguish capture-only, replay-only, and actual relay acceptance.
  • Keep service name, target host, protocol, relay transcript, and acceptance response tied together.

3. Reduce To The Decisive Relay Chain

  • Compress the result to the smallest sequence: coercion trigger -> relayed auth -> accepted service -> resulting privilege or artifact.
  • State clearly whether the decisive weakness lives in the coercion source, the relay target, signing settings, or the accepted downstream service.
  • If the path ultimately becomes a certificate-enrollment issue or a pure Kerberos delegation edge, hand off to the tighter specialized skill.

Read This Reference

  • Load references/relay-coercion-chain.md for the coercion checklist, relay checklist, and evidence packaging.

What To Preserve

  • Coercion trigger details, source host, coerced identity, target host, accepting service, and resulting effect
  • Relay transcripts, error or acceptance responses, and the exact protocol used at each hop
  • The smallest replayable coercion-to-acceptance sequence

More skills from zhaoxuya520/reverse-skill

  • Fapi-securityUse for authorized security assessment of REST, GraphQL, WebSocket, or SOAP APIs, including discovery, authentication, authorization, rate-limit, and CI/CD testing.
  • Capk-reverse在 CLI 环境下做 Android APK 逆向时使用。适用于 APK 解包、Java 反编译、smali 修改、重打包、Frida 动态 Hook,以及按需切换到 so/native 分析。优先使用本机已安装的 jadx、apktool、frida、adb、ida-reverse、radare2。
  • Cattack-chainUse for authorized multi-stage attack-path planning and orchestration when a task spans reconnaissance, initial access, privilege escalation, lateral movement, or impact assessment. Route single-stage tasks directly to their specialist skill.
  • Abinary-diff跨版本符号迁移与二进制差分。当你有旧版本的符号/逆向结果,需要快速迁移到新版本时使用。 适用场景:内核缺 PDB 用旧版符号推导、程序更新后批量迁移函数名、应用更新后快速定位新偏移。 核心方法:用 LLM 做结构化差异比对,程序化输入输出,成本极低(200 函数 ~1 元)。 触发关键词:符号迁移、bindiff、跨版本、PDB 缺失、函数偏移迁移、symbol migration、binary diff、版本对比。
  • Abinary-ninja-reverseUse for authorized binary analysis in Binary Ninja, including HLIL/MLIL/LLIL inspection, strings/imports/exports, cross-references, types, patch review, Python API automation, and optional Binary Ninja MCP or localhost HTTP integration.
  • Abrowser-automation统一自动化入口。覆盖浏览器自动化(Playwright)和 Windows 桌面应用自动化(OpenReverse)。 浏览器场景:打开网页、点击、填表、爬取、截图、自动化登录、渗透页面交互。 桌面场景:操作 IDA/x64dbg 等 GUI 工具、Windows UI Automation、视觉驱动交互、桌面应用网络抓包。 触发关键词:浏览器自动化、桌面自动化、打开网页、填表、爬取、截图、自动化登录、Playwright、agent-browser、headless、OpenReverse、UIA、CUA、桌面操作、Windows 自动化。
  • Abrowser-extension-reverseUse for authorized reverse engineering of browser extensions (Chrome/Firefox) including manifest analysis, background workers, and extension-based credential or traffic logic recovery.
  • Acase-reviewReviews a reverse-skill case package for scope readiness, Evidence to Finding to Path traceability, work item coverage, timeline references, and optional artifact hash integrity before report handoff.
  • Acloud-k8sUse for authorized cloud, container, and Kubernetes security assessment including metadata SSRF, IAM misconfig, container escape paths, and cluster RBAC review.
  • Acode-auditUse for authorized source-code security review and SAST workflows including Semgrep, CodeQL patterns, dangerous API hunting, and fix verification.
  • Acompetition-ad-certificate-abuseInternal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for AD CS, certificate templates, enrollment rights, EKUs, SAN controls, PKINIT, certificate mapping, and cert-based privilege paths. Use when the user asks about ESC-style abuse, certificate templates, enrollment agents, EKUs, SAN or subject controls, smartcard or PKINIT logon, CA policy, or how an issued cert turns into accepted privilege. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
  • Acompetition-agent-cloudInternal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for AI-agent, prompt-injection, MCP or toolchain, cloud, container, CI/CD, and supply-chain challenges. Use when the user asks to analyze prompt-to-tool flows, retrieval poisoning, mounted secrets, deployment drift, runtime-vs-manifest mismatches, registry provenance, or CI-produced artifacts under sandbox assumptions. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

All agent skills → · MCP servers