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Ghostwriter Oplog

Organization
SpecterOps
ghostwriter-oplog

Use for Ghostwriter operation log entries from Codex, including config guidance, quick notes, evidence-backed entries, and guided oplog capture through the Ghostwriter MCP tools.

Overview

PublisherSpecterOps
Repositoryskills
Skill nameghostwriter-oplog
Stars
706
Forks
80
Bundled files
3
LicenseApache-2.0
Links
Skill sourceRepository
  • 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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by SpecterOps on GitHub. Read the source before you install it.

Installation

Install the Ghostwriter Oplog 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/SpecterOps/skills/tree/main/plugins/report-drafting/skills/ghostwriter-oplog
  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/SpecterOps/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/report-drafting/skills/ghostwriter-oplog .claude/skills/ghostwriter-oplog
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ghostwriter Oplog 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 Ghostwriter Oplog 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 Ghostwriter Oplog 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.

Ghostwriter Oplog

Use this skill when the user wants to create Ghostwriter operation log entries from Codex.

Inputs

Accept one of these actions:

  • config — show required environment variables and current expected names.
  • quick <description> [--tags tag1,tag2] — create a timestamped entry.
  • evidence <file-path> <description> [--tags tag1,tag2] — create an entry with file contents or a binary-file note.
  • guided — ask for entry type, description, optional evidence, destination, tool, and tags before logging.

Environment

Preferred variables:

  • GHOSTWRITER_OPLOG_ID
  • GHOSTWRITER_OPERATOR
  • GHOSTWRITER_SOURCE_IP optional

Accepted legacy aliases:

  • GW_OPLOG_ID
  • GW_OPERATOR_NAME
  • GW_SOURCE_IP

If required values are missing, do not guess. Tell the user to set the preferred variables in their shell or Codex environment and restart Codex if needed.

Logging Workflow

  1. Resolve oplog_id from GHOSTWRITER_OPLOG_ID or GW_OPLOG_ID.
  2. Resolve operator_name from GHOSTWRITER_OPERATOR or GW_OPERATOR_NAME.
  3. Resolve optional source_ip from GHOSTWRITER_SOURCE_IP or GW_SOURCE_IP.
  4. Get a UTC timestamp with date -u +"%Y-%m-%dT%H:%M:%SZ".
  5. Use the Ghostwriter MCP create_oplog_entry tool with resolved fields.
  6. Confirm the entry ID and summarize the fields recorded.

Action Details

quick

Parse everything before --tags as the description. Parse tags as a comma-separated list. Submit description, start_date, optional tags, and resolved operator/source fields.

evidence

Read the provided file path. If it is text, include file contents as output. If it appears binary or cannot be decoded safely, set output to [Binary file: <path>] and include the file path in the description.

guided

Collect:

  • entry type: command execution, discovery, credential access, or evidence capture
  • description
  • optional evidence file path
  • optional destination IP/hostname
  • optional tool name
  • optional tags

Then submit the completed entry through create_oplog_entry.

config

Show this minimum configuration:

bash
export GHOSTWRITER_OPLOG_ID=<oplog-id>
export GHOSTWRITER_OPERATOR=<operator-name>
export GHOSTWRITER_SOURCE_IP=<source-ip> # optional

If the user needs to discover projects or oplogs first, use the ghostwriter-mcp skill to verify the MCP connection and list projects/oplogs.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ghostwriter Oplog AI skill do?

Use for Ghostwriter operation log entries from Codex, including config guidance, quick notes, evidence-backed entries, and guided oplog capture through the Ghostwriter MCP tools.

Why use Ghostwriter Oplog on TypingMind?

Because you install it once and use it with any model. Ghostwriter Oplog 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 Ghostwriter Oplog in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SpecterOps/skills/tree/main/plugins/report-drafting/skills/ghostwriter-oplog. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ghostwriter Oplog?

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 Ghostwriter Oplog?

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

Is the Ghostwriter Oplog AI skill free?

Yes. It is published on GitHub by SpecterOps under the Apache-2.0 license. 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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