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Security
Skill

/chain

Build deep exploit chains — dispatches chain-builder agent. Given bug A, recursively walks the chain graph. Usage: /chain (then describe bug A)

From plugin
pentest-agents
79439 skills50 agents3 hooks2 MCP
Install
$ npx -y skills add H-mmer/pentest-agents --skill chain --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/chain

Context preview

The summary Claude sees to decide when to auto-load this skill.

Build deep exploit chains — dispatches chain-builder agent. Given bug A, recursively walks the chain graph. Usage: /chain (then describe bug A)

SKILL.md

chain.SKILL.md
name: chain
description: "Build deep exploit chains — dispatches chain-builder agent. Given bug A, recursively walks the chain graph. Usage: /chain (then describe bug A)"
disable-model-invocation: false

Build exploit chain from: $ARGUMENTS

Process

1. Read brain for current target context: `uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py brief <target>`

2. Get bug A description:

  • If `$ARGUMENTS` contains a bug description → use it
  • Else if brain has a recent confirmed finding → use that
  • Else → ask user to describe the confirmed bug

3. Read `rules/chain-table.md` — the capability→next-bug table

4. Read `policy.md` — extract policy preamble for the agent

5. **ALWAYS dispatch `chain-builder` agent** (model: inherit) with:

  • The confirmed bug A description (exact HTTP request/response)
  • The full chain table from `rules/chain-table.md`
  • Policy preamble (scope + required headers + restrictions)
  • Brain context (tech stack, tested endpoints, known capabilities)
  • Writeup intelligence: call `search_writeups "chain <bug class> escalation"` if MCP available

6. After agent returns:

  • If chain found:
  • `uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py record <target> confirmed "chain: <summary>" "<full chain>"`
  • Show chain to user with combined impact and CVSS
  • Suggest: `/validate` then `/report`
  • If dead end:
  • `uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py record <target> exhausted "chain from <bug A>" "<candidates tried>"`
  • Show what was tried and why it failed

No inline chain logic. No capability table. The chain-builder agent does all the work.

Top-Tier Chain Standard

A chain is valuable only when each link grants a concrete capability.

Before dispatching, classify bug A as one capability:

  • identity control: login, link, session, token, role, invite
  • data read: PII, secrets, tenant data, internal API response
  • data write: config, webhook, template, profile, billing, integration
  • execution: script, server-side call, command, workflow run, model/tool action
  • network pivot: SSRF, callback, metadata, internal host reachability

Ask the chain-builder for three paths: fastest proof, highest impact, and safest policy-compliant path. Kill chains that require guessing, prohibited data access, or unbounded scanning. A reportable chain must include end-to-end reproduction, where link 2 consumes the capability from link 1 rather than merely coexisting with it.

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Ships withpentest-agents

Bug bounty agent framework for Claude Code, Codex, Gemini, Cursor, Windsurf, Copilot, and OpenClaw — 48 agents, 26 commands, 19 CLI tools, 2 MCP servers, autonomous hunt loops, exploit chain builder.

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