Add Partial Recon

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samugit83

add-partial-recon

Adding partial-recon support for a tool: running a single pipeline phase on demand from the workflow graph, reading its inputs from the existing Neo4j graph and merging results back. The input-node map decides the modal UI, and some input types must never be manually entered. Trigger: adding a tool to partial recon; a new recon/partial_recon_modules/*.py; editing SECTION_INPUT_MAP in nodeMapping.ts; wiring the partial-recon modal or a single-phase re-run.

Overview

Publisher	samugit83
Repository	`redamon`
Skill name	`add-partial-recon`
Stars	2.5K
Forks	504
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 samugit83 on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/samugit83/redamon.git /tmp/redamon
mkdir -p .claude/skills
cp -r /tmp/redamon/skills/add-partial-recon .claude/skills/add-partial-recon

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Add Partial Recon 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 Add Partial Recon 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 Add Partial Recon 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.

When to Use

Making an existing recon tool runnable as a single on-demand phase from the graph.

For adding the tool to the full pipeline, use recon-tool-integration. For the graph write itself, use graph-db-writes. This skill is the partial-recon path: graph-sourced inputs, the modal, and the single-phase re-run.

Critical Rules

NEVER let partial-recon results create duplicate nodes. Partial runs merge into the existing graph and must dedup via MERGE on the tenant triple - see graph-db-writes. Partial and full share the same graph.
NEVER expose a graph-only input type as a manual textarea. SECTION_INPUT_MAP in nodeMapping.ts lists what the tool reads from the graph, but only the types that make sense for manual entry get a user field. Types like Port and Endpoint come from the graph only and must not be hand-entered.
ALWAYS wire the shared entry so it works in BOTH the full pipeline AND partial recon. Partial recon is spawned as a separate container from the full pipeline (recon_orchestrator/container_manager.py); hook the shared entry function once so both inherit (see recon-ai-enrichment for the same rule).
ALWAYS mirror the reference impl matching your tool's input shape, not an arbitrary one: Naabu (Subdomain + IP), Masscan (IP only), Nmap (IP + Port), Katana (URL). The input-node shape drives the whole wiring.

Input-node shape -> reference impl

Tool reads	User enters	Mirror
Subdomain + IP	Subdomain + IP (two textareas)	Naabu
IP only	IP (one textarea)	Masscan
IP + Port	IP (Port from graph)	Nmap
BaseURL	URL (maps to a BaseURL node)	Katana

Commands

bash
# recon/*.py is spawned fresh per job (volume-mounted) - no rebuild
./redamon.sh test unit                    # recon + root-recon sections

Resources

docs/readmes/coding_agent_prompts/PROMPT.ADD_PARTIAL_RECON.md - full walkthrough, modal UI, input validation, reference impls
Related skills: recon-tool-integration, graph-db-writes, recon-ai-enrichment

Frequently asked questions

What does the Add Partial Recon AI skill do?

Why use Add Partial Recon on TypingMind?

Because you install it once and use it with any model. Add Partial Recon 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 Add Partial Recon in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/samugit83/redamon/tree/master/skills/add-partial-recon. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Add Partial Recon?

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 Add Partial Recon?

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

Is the Add Partial Recon AI skill free?

Yes. It is published on GitHub by samugit83 under the MIT 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

When to Use

Critical Rules

Input-node shape -> reference impl

Commands

Resources

Frequently asked questions

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