Agent skill

Add Partial Recon

by samugit83 in samugit83/redamon

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.

MITAuto-check passedSecurity

Install Add Partial Recon

skills CLI
$ npx skills add samugit83/redamon --skill add-partial-recon -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install samugit83/redamon add-partial-recon --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/samugit83/redamon.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/add-partial-recon .claude/skills/add-partial-recon && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
add-partial-recon
GitHub stars
3k
Token cost
~1.1k tokens
SKILL.md length
424 words
Files
1
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Tasks that involve Penetration testing
  • SKILL.md covers When to Use, Critical Rules, Input-node shape -> reference… and Commands, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Bug bounty

What it does

Add Partial Recon is an agent skill from samugit83/redamon. 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/partialreconmodules/.py; editing SECTIONINPUTMAP in nodeMapping.ts; wiring the partial-recon modal or a single-phase re-run.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Security, covering Penetration testing and Bug bounty. It works with Neo4j. The repository describes itself as: Open-source, self-hosted AI penetration testing framework: maps your attack surface into a graph, autonomously exploits it from a Kali sandbox with human approval gates, and… The licence is MIT.

When your agent uses it

  • Tasks that involve Penetration testing
  • Tasks that involve Bug bounty

Example prompts

  • “/add-partial-recon”

What it can do on your machine

Read from SKILL.md and the folder at commit d90c940. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Add Partial Recon loads about 1.1k tokens when it runs. Until then it costs about 119 tokens; SKILL.md has 424 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~119
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from samugit83/redamon at commit d90c940, republished under its MIT licence (© samugit83). 424 words, ~1,057 tokens.

Download SKILL.mdSave it as .claude/skills/add-partial-recon/SKILL.md (or your agent's skills folder).
name
add-partial-recon
description
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.
license
MIT
metadata.author
redamon
metadata.version
1.0.0
metadata.scope
recon
metadata.auto_invoke
Adding partial-recon support for a recon tool, Editing SECTION_INPUT_MAP or the partial-recon modal wiring

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.
  • ALWAYS read the run's roots through scope_roots(config), NEVER config["domain"]. A Domain-batch run covers every root in config["domains"]; config["domain"] is only the first, so a tool reading it silently skips the rest. test_partial_scope_guard.py fails the gate on a direct read. Pass domain_groups=config.get("domain_groups") to the graph builders so each root keeps its group's scope (a literal group scans only its listed hosts), validate custom hosts with host_in_roots, and attach each host to root_for_host(host, roots).
  • ALWAYS loop an API that takes one domain per call through run_per_root, never a bare for. It fails only the root that raised or called sys.exit, retries a rate-limited root once, and returns the {root: status} the run report and exit code read. Mirror Urlscan (a 429 returns STATUS_RATE_LIMITED) or Shodan.
  • A writer attaches a host through attach_roots(recon_data), not scope_roots: the full pipeline scans one batch group at a time but carries every root in all_project_roots, so a host found under another root joins that root instead of becoming an ExternalDomain.
Show full SKILL.md (53 more words)Show less

Input-node shape -> reference impl

Tool readsUser entersMirror
Subdomain + IPSubdomain + IP (two textareas)Naabu
IP onlyIP (one textarea)Masscan
IP + PortIP (Port from graph)Nmap
BaseURLURL (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

© samugit83, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/add-partial-recon of samugit83/redamon.

Open the folder on GitHubat commit d90c940

Compare with similar skills

Add Partial Recon next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Add Partial Recon compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Add Partial Recon this skillsamugit83/redamon3k—~1.1kAutomated safety check: PassMIT
Nmap ReconCommonHuman-Lab/nyxstrike157—~639Automated safety check: PassCustom licence
Operate Network Reconcyberful/cyberful135—~1.1kAutomated safety check: PassAGPL-3.0
Web ReconCommonHuman-Lab/nyxstrike157—~907Automated safety check: PassCustom licence
Metabigor OSINT Reconj3ssie/metabigor1.9k—~2.4kAutomated safety check: PassMIT
Wooyun Legacytanweai/wooyun-legacy1.8k—~1.9kAutomated safety check: PassCustom licence

Similar skills

  • Nmap Recon

    CommonHuman-Lab/nyxstrike

    Network reconnaissance workflow using nmap, masscan, and rustscan via NyxStrike tools

    157 GitHub stars~639 tokensUpdated yesterday
    SecurityAuto-check passed
  • Operate Network Recon

    cyberful/cyberful

    Build a high-fidelity network and service inventory using Nmap, Masscan, packet capture, DNS, and protocol-specific follow-up.

    135 GitHub stars~1.1k tokensUpdated 1 mo ago
    SecurityAuto-check passed
  • Web Recon

    CommonHuman-Lab/nyxstrike

    Web content discovery and technology fingerprinting using gobuster, ffuf, feroxbuster, katana, httpx, and wafw00f

    157 GitHub stars~907 tokensUpdated yesterday
    SecurityAuto-check passed
  • Metabigor OSINT Recon

    j3ssie/metabigor

    Operates the metabigor CLI to map a target's network ranges, subdomains, ports, related domains, CDNs and archived URLs from free sources without API keys.

    1.9k GitHub stars~2.4k tokensUpdated 2 mo ago
    SecurityAuto-check passed
  • Wooyun Legacy

    tanweai/wooyun-legacy

    WooYun business logic vulnerability methodology — 22,132 real cases across 6 domains (authentication bypass, authorization bypass, payment tampering, information disclosure, logic flaws…

    1.8k GitHub stars~1.9k tokensUpdated 2 mo ago
    SecurityAuto-check passed
  • Client Request Signature Reversal

    awarexone/Agentic-Bug-Hunter

    Recovers a client-side request signature or anti-bot token just far enough to replay blocked requests in bug bounty testing, starting from a captured packet.

    5.3k GitHub stars~4.7k tokensUpdated 3 days ago
    SecurityAuto-check passed

More from samugit83/redamon

All 15 skills in this repo
  • Add Community Skill

    samugit83/redamon

    Adding a Community Agent Skill: a Markdown attack-workflow file that users import from the catalog, which then competes in the Intent Router and is injected into the agent's system prompt.

    3k GitHub stars~775 tokensUpdated yesterday
    Auto-check passed
  • Agentic Tool Integration

    samugit83/redamon

    Wiring a new tool the AI agent can call (not the recon pipeline): the tool registry, the phase map, the hardcoded dispatch chokepoint, and the duplicated execution paths that make a tool work in…

    3k GitHub stars~1.3k tokensUpdated yesterday
    Auto-check passed
  • Builtin Agent Skill

    samugit83/redamon

    Adding a built-in Agent Skill (an attack technique like ssrf, xxe, rce) that ships hardcoded in RedAmon: classified by the Intent Router, injected into the agent prompt, toggled per project, badged…

    3k GitHub stars~1.4k tokensUpdated yesterday
    Auto-check passed
  • Graph DB Writes

    samugit83/redamon

    Writing to the Neo4j attack-surface graph in RedAmon: the tenant-isolation MERGE key every entity node must carry, where graph methods live (mixins, not the client), and the schema places that must…

    3k GitHub stars~2.2k tokensUpdated yesterday
    Auto-check passed
  • LLM Provider Integration

    samugit83/redamon

    Adding an LLM provider to RedAmon: the credential boundary (keys must never reach scan containers), prefix-routed model ids, and the provider registry.

    3k GitHub stars~1.1k tokensUpdated yesterday
    Auto-check passed
  • MCP Server Tools

    samugit83/redamon

    Adding, removing or changing a tool on RedAmon's INBOUND MCP server, where external agents connect in with a personal access token.

    3k GitHub stars~1.8k tokensUpdated yesterday
    Auto-check passed

Works with

Categories

Questions about Add Partial Recon

What does Add Partial Recon do?

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. Add Partial Recon is an agent skill from samugit83/redamon. 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.

When should I use Add Partial Recon?

Add Partial Recon fits situations like: tasks that involve Penetration testing; tasks that involve Bug bounty.

How do I install Add Partial Recon in Claude Code?

Run `npx skills add samugit83/redamon --skill add-partial-recon -a claude-code`. Or copy the skill folder (skills/add-partial-recon in samugit83/redamon) into .claude/skills/add-partial-recon in your project. Claude Code loads it when a task matches its description.

How do I install Add Partial Recon in Codex?

Run `npx skills add samugit83/redamon --skill add-partial-recon -a codex`. Or copy the skill folder (skills/add-partial-recon in samugit83/redamon) into .agents/skills/add-partial-recon in your project. Codex loads it when a task matches its description.

Can I use Add Partial Recon in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add samugit83/redamon --skill add-partial-recon -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/add-partial-recon, .gemini/skills/add-partial-recon, .github/skills/add-partial-recon and .opencode/skills/add-partial-recon in your project.

What does Add Partial Recon need to run?

SKILL.md names no scripts, command-line tools or credentials: Add Partial Recon is instructions for the agent only.

Does Add Partial Recon access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Add Partial Recon safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Add Partial Recon use?

Add Partial Recon is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Add Partial Recon use?

About 1.1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Add Partial Recon?

Skills that share tags, products or a category with Add Partial Recon: Nmap Recon (CommonHuman-Lab/nyxstrike, 157 stars), Operate Network Recon (cyberful/cyberful, 135 stars), Web Recon (CommonHuman-Lab/nyxstrike, 157 stars) and Metabigor OSINT Recon (j3ssie/metabigor, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Add Partial Recon?

samugit83 (a GitHub user) maintains it in samugit83/redamon, which has 2,961 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 7, 2026.

Source: samugit83/redamon on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.