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Resume

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H-mmer
resume

Resume a previous hunt. Shows hunt history, untested endpoints, memory-informed suggestions. Usage: /resume target.com

Overview

PublisherH-mmer
Repositorypentest-agents
Skill nameresume
Stars
999
Forks
188
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by H-mmer on GitHub. Read the source before you install it.

Installation

Install the Resume AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/H-mmer/pentest-agents/tree/main/.claude/skills/resume
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/H-mmer/pentest-agents.git /tmp/pentest-agents
mkdir -p .claude/skills
cp -r /tmp/pentest-agents/.claude/skills/resume .claude/skills/resume
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Resume in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Resume on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Resume is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Resume hunt on: $ARGUMENTS

What This Does

  1. Read brain for target: uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py brief $ARGUMENTS
  2. Read brain exhausted: uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py exhausted $ARGUMENTS
  3. Read chain-pending advisory: cat .claude/agent-memory-local/chain-pending.md 2>/dev/null — feeder findings from prior session waiting for chain dispatch. SURFACE THESE FIRST — they have proven dollar value if chained, vs untested surface which is speculative.
  4. Generate / refresh chain plan: uv run python3 $CLAUDE_PROJECT_DIR/tools/chain_plan.py $ARGUMENTS — writes evidence/<target>/CHAIN_PLAN.md with 3-5 candidate next-links per pending feeder finding plus the agent to dispatch for each. Read this BEFORE picking the next vuln class — proven feeders trump speculative untested surface.
  5. Read recon data from recon/ directory
  6. Show what's been tested vs what remains
  7. Suggest next techniques based on brain patterns

Output

RESUME: target.com
═══════════════════

Brain Status:
  Confirmed findings: N
  Exhausted techniques: N
  Effective techniques: N

Untested Surface:
  1. /api/v2/users/{id}/export — not tested
  2. /api/v2/users/{id}/share — not tested
  ...

Suggestions:
  - Tech stack [X] matches pattern where IDOR was found before
  - Sibling endpoints of confirmed finding not yet tested

Actions:
  [h] /hunt target.com — resume hunting
  [s] /surface target.com — re-rank attack surface
  [r] /recon target.com — re-run recon (surface may have changed)
  [m] /monitor check — check for target changes since last session

Top-Tier Resume Logic

Resume by value, not chronology.

Priority order:

  1. chain-pending confirmed feeders with clear next link
  2. validated partials needing one proof artifact
  3. changed assets from /monitor
  4. untested P1 crown-jewel endpoints
  5. high-confidence class hypotheses from prior wins
  6. stale recon refresh

Show what not to redo. If an area is exhausted, include the exact blocker and matrix coverage. A resumed hunt should start with a single best command, not a menu of every possible command.

Frequently asked questions

What does the Resume AI skill do?

Resume a previous hunt. Shows hunt history, untested endpoints, memory-informed suggestions. Usage: /resume target.com

Why use Resume on TypingMind?

Because you install it once and use it with any model. Resume is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Resume in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/H-mmer/pentest-agents/tree/main/.claude/skills/resume. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Resume?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Resume?

As many as you like. As long as a model supports skills, you can use Resume with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Resume AI skill free?

It is published on GitHub by H-mmer. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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