Add Enrichment
simstudioai/sim
Add a code-defined table enrichment (registry entry) under apps/sim/enrichments/ backed by an ordered provider cascade, ensuring every provider tool it calls has hosted-key support.
IP address enrichment — ASN ownership lookup, geolocation (city/region/country/coordinates), and reverse DNS resolution.
Apache-2.0Auto-check passed
Install Gtrace Ip Enrichment
$ npx skills add automateyournetwork/netclaw --skill gtrace-ip-enrichment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install automateyournetwork/netclaw gtrace-ip-enrichment --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/workspace/skills/gtrace-ip-enrichment .claude/skills/gtrace-ip-enrichment && rm -rf skills-srcUse ~/.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/
Install the "gtrace-ip-enrichment" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/gtrace-ip-enrichment into .claude/skills/gtrace-ip-enrichment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gtrace-ip-enrichment", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/gtrace-ip-enrichmentType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add automateyournetwork/netclaw --skill gtrace-ip-enrichment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install automateyournetwork/netclaw gtrace-ip-enrichment --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/workspace/skills/gtrace-ip-enrichment .agents/skills/gtrace-ip-enrichment && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gtrace-ip-enrichment" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/gtrace-ip-enrichment into .agents/skills/gtrace-ip-enrichment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gtrace-ip-enrichment", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add automateyournetwork/netclaw --skill gtrace-ip-enrichment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install automateyournetwork/netclaw gtrace-ip-enrichment --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/workspace/skills/gtrace-ip-enrichment .cursor/skills/gtrace-ip-enrichment && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "gtrace-ip-enrichment" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/gtrace-ip-enrichment into .cursor/skills/gtrace-ip-enrichment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gtrace-ip-enrichment", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/automateyournetwork/netclaw.git --path workspace/skills/gtrace-ip-enrichment--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add automateyournetwork/netclaw --skill gtrace-ip-enrichment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install automateyournetwork/netclaw gtrace-ip-enrichment --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/workspace/skills/gtrace-ip-enrichment .gemini/skills/gtrace-ip-enrichment && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "gtrace-ip-enrichment" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/gtrace-ip-enrichment into .gemini/skills/gtrace-ip-enrichment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gtrace-ip-enrichment", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install automateyournetwork/netclaw gtrace-ip-enrichmentInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add automateyournetwork/netclaw --skill gtrace-ip-enrichment -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/workspace/skills/gtrace-ip-enrichment .github/skills/gtrace-ip-enrichment && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "gtrace-ip-enrichment" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/gtrace-ip-enrichment into .github/skills/gtrace-ip-enrichment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gtrace-ip-enrichment", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add automateyournetwork/netclaw --skill gtrace-ip-enrichment -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install automateyournetwork/netclaw gtrace-ip-enrichment --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/workspace/skills/gtrace-ip-enrichment .opencode/skills/gtrace-ip-enrichment && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "gtrace-ip-enrichment" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/gtrace-ip-enrichment into .opencode/skills/gtrace-ip-enrichment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gtrace-ip-enrichment", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
gtrace-ip-enrichment- GitHub stars
- 676
- Token cost
- ~1.2k tokens
- SKILL.md length
- 547 words
- Files
- 1
- Skills in repo
- 120
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
IP address enrichment — ASN ownership lookup, geolocation (city/region/country/coordinates), and reverse DNS resolution.
- Works in 3 steps: ASN Lookup → Geolocation → Reverse DNS
- Identifying who owns an IP address
- SKILL.md covers How to Call the gtrace MCP Tools, When to Use, Available Tools and Workflow: IP Investigation, plus 6 more sections
- Calls python3
What it does
Gtrace Ip Enrichment is an agent skill from automateyournetwork/netclaw. IP address enrichment — ASN ownership lookup, geolocation (city/region/country/coordinates), and reverse DNS resolution. Use when identifying who owns an IP address, locating an IP geographically, resolving reverse DNS for a traceroute hop, or enriching unknown IPs from logs or flow data.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: An AI agent that claws through your network. The licence is Apache-2.0.
When your agent uses it
- Identifying who owns an IP address
- Locating an IP geographically
- Resolving reverse DNS for a traceroute hop
- Enriching unknown IPs from logs
Example prompts
- “/gtrace-ip-enrichment”
Requirements
- Python 3
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit aa90e7d. 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
Shell commands in SKILL.md call:
python3
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
Gtrace Ip Enrichment loads about 1.2k tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 547 words of instructions outside code blocks.
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 automateyournetwork/netclaw at commit aa90e7d, republished under its Apache-2.0 licence (© automateyournetwork). 547 words, ~1,224 tokens.
Download SKILL.mdSave it as
.claude/skills/gtrace-ip-enrichment/SKILL.md (or your agent's skills folder).- name
- gtrace-ip-enrichment
- description
- IP address enrichment — ASN ownership lookup, geolocation (city/region/country/coordinates), and reverse DNS resolution. Use when identifying who owns an IP address, locating an IP geographically, resolving reverse DNS for a traceroute hop, or enriching unknown IPs from logs or flow data.
- license
- Apache-2.0
- user-invocable
- true
IP Address Enrichment with gtrace
How to Call the gtrace MCP Tools
python3 $MCP_CALL "gtrace mcp" TOOL_NAME '{"param":"value"}'When to Use
- Identify who owns an IP address (ASN, organization name, network range)
- Determine the geographic location of an IP (city, region, country, coordinates)
- Resolve an IP address to its PTR/reverse DNS hostname
- Enrich traceroute hop data with ASN and geo context
- Investigate unknown IPs appearing in logs, flow data, or routing tables
- Map network paths to physical geography for latency analysis
Available Tools
| Tool | Purpose |
|---|---|
asn_lookup | Look up ASN, organization, and network range for an IP |
geo_lookup | Get geographic location (city, region, country, lat/lon) for an IP |
reverse_dns | Resolve an IP to its PTR record (reverse DNS hostname) |
Workflow: IP Investigation
When asked "who owns this IP?" or "where is this IP?":
Step 1: ASN Lookup
Identify the Autonomous System and organization that owns the IP.
python3 $MCP_CALL "gtrace mcp" asn_lookup '{"ip":"8.8.8.8"}'Returns: ASN number, organization name, network CIDR, registry (ARIN, RIPE, APNIC, etc.)
Step 2: Geolocation
Determine the physical location of the IP.
python3 $MCP_CALL "gtrace mcp" geo_lookup '{"ip":"8.8.8.8"}'Returns: City, region/state, country, latitude/longitude, timezone
Step 3: Reverse DNS
Resolve the IP to its PTR record for hostname identification.
python3 $MCP_CALL "gtrace mcp" reverse_dns '{"ip":"8.8.8.8"}'Returns: PTR hostname (e.g., dns.google)
Workflow: Traceroute Hop Enrichment
After running a traceroute (via gtrace-path-analysis skill), enrich each hop with ASN and geo data:
- Run
tracerouteto get the path with hop IPs - For each hop IP, run
asn_lookupto identify the network owner - For key hops (transit boundaries, high-latency hops), run
geo_lookupto map physical location - Use
reverse_dnson hops to identify router naming conventions (often reveals ISP, POP location, interface type)
# Example: enrich a traceroute hop
python3 $MCP_CALL "gtrace mcp" asn_lookup '{"ip":"72.14.215.85"}'
python3 $MCP_CALL "gtrace mcp" geo_lookup '{"ip":"72.14.215.85"}'
python3 $MCP_CALL "gtrace mcp" reverse_dns '{"ip":"72.14.215.85"}'Workflow: BGP Peer Identification
When investigating BGP peers or routes:
- Get the peer IP from
bgp_get_peers(protocol-participation skill) - Run
asn_lookupto verify the peer's ASN matches what BGP reports - Run
geo_lookupto confirm the peer's physical location - Run
reverse_dnsto identify the peer's hostname and operator
Tool Parameters
asn_lookup
ip(required): IPv4 or IPv6 address to look up
geo_lookup
ip(required): IPv4 or IPv6 address to geolocate
Show full SKILL.md (217 more words)Show less
reverse_dns
ip(required): IPv4 or IPv6 address to resolve
Output Format
- asn_lookup — ASN number, organization name, network CIDR prefix, RIR (ARIN/RIPE/APNIC/LACNIC/AFRINIC)
- geo_lookup — city, region/state, country, country code, latitude, longitude, timezone
- reverse_dns — PTR hostname, or indication that no PTR record exists
Important Rules
- These tools require internet access for IP intelligence lookups
- Geolocation accuracy varies — typically city-level for broadband, region-level for mobile/cloud
- ASN lookup is the most reliable enrichment — it uses RIR delegation data
- Reverse DNS depends on the IP owner having configured PTR records
- Use all three tools together for comprehensive IP enrichment
- Cross-reference ASN data with BGP RIB entries for routing consistency verification
- Record all IP enrichment in GAIT
Failure Behavior
- If a tool call fails with an authentication or connection error, check that
GTRACE_MCP_BINis set and valid before assuming a data or device problem. - On a tool error (timeout, unreachable host, malformed response), report the failure and its error message directly to the user rather than fabricating or guessing at results.
- For a confirmed read-only call, check connectivity and retry once if appropriate. For any call that changes state or sends a message, a timeout does not prove the action failed: inspect current state or delivery status before retrying, preserve the required approval/change gates, and do not repeat an action whose outcome is unknown.
© automateyournetwork, Apache-2.0. 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 workspace/skills/gtrace-ip-enrichment of automateyournetwork/netclaw.
Open the folder on GitHubat commit aa90e7d
Compare with similar skills
Gtrace Ip Enrichment 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Gtrace Ip Enrichment this skillautomateyournetwork/netclaw | 676 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Add Enrichmentsimstudioai/sim | 30k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Documentation Lookupaffaan-m/ECC | 276k | 1 repos | ~670 | Automated safety check: Pass | MIT | |
| Documentation Lookupaffaan-m/ECC | 276k | — | ~640 | Automated safety check: Pass | MIT | |
| Pathway EnrichmentK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~4.2k | Automated safety check: Pass | MIT | |
| Performing Ioc Enrichment Automationmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Documentation Lookup
affaan-m/ECC
通过 Context7 MCP 使用最新的库和框架文档，而非训练数据。当用户提出设置问题、API参考、代码示例或命名框架（例如 React、Next.js、Prisma）时激活。
Documentation Lookup
affaan-m/ECC
訓練データの代わりにContext7 MCP経由で最新のライブラリとフレームワークドキュメント使用。セットアップの質問、APIリファレンス、コード例、またはユーザーがフレームワーク（例：React、Next.js、Prisma）に名前を付けるときにアクティベーション。
Pathway Enrichment
K-Dense-AI/scientific-agent-skills
Performs pathway and gene-set enrichment analysis on gene lists or ranked gene data and interprets the results.
Performing Ioc Enrichment Automation
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Questions about Gtrace Ip Enrichment
What does Gtrace Ip Enrichment do?
IP address enrichment — ASN ownership lookup, geolocation (city/region/country/coordinates), and reverse DNS resolution. Gtrace Ip Enrichment is an agent skill from automateyournetwork/netclaw. IP address enrichment — ASN ownership lookup, geolocation (city/region/country/coordinates), and reverse DNS resolution.
When should I use Gtrace Ip Enrichment?
Gtrace Ip Enrichment fits situations like: identifying who owns an IP address; locating an IP geographically; resolving reverse DNS for a traceroute hop; enriching unknown IPs from logs.
How do I install Gtrace Ip Enrichment in Claude Code?
Run `npx skills add automateyournetwork/netclaw --skill gtrace-ip-enrichment -a claude-code`. Or copy the skill folder (workspace/skills/gtrace-ip-enrichment in automateyournetwork/netclaw) into .claude/skills/gtrace-ip-enrichment in your project. Claude Code loads it when a task matches its description.
How do I install Gtrace Ip Enrichment in Codex?
Run `npx skills add automateyournetwork/netclaw --skill gtrace-ip-enrichment -a codex`. Or copy the skill folder (workspace/skills/gtrace-ip-enrichment in automateyournetwork/netclaw) into .agents/skills/gtrace-ip-enrichment in your project. Codex loads it when a task matches its description.
Can I use Gtrace Ip Enrichment 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 automateyournetwork/netclaw --skill gtrace-ip-enrichment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gtrace-ip-enrichment, .gemini/skills/gtrace-ip-enrichment, .github/skills/gtrace-ip-enrichment and .opencode/skills/gtrace-ip-enrichment in your project.
What does Gtrace Ip Enrichment need to run?
Going by SKILL.md and its folder, Gtrace Ip Enrichment needs the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Gtrace Ip Enrichment 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 Gtrace Ip Enrichment 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 Gtrace Ip Enrichment use?
Gtrace Ip Enrichment is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Gtrace Ip Enrichment use?
About 1.2k tokens (SKILL.md is roughly 4.9k 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 Gtrace Ip Enrichment?
Skills that share tags, products or a category with Gtrace Ip Enrichment: Add Enrichment (simstudioai/sim, 30k stars), Documentation Lookup (affaan-m/ECC, 276k stars), Documentation Lookup (affaan-m/ECC, 276k stars) and Pathway Enrichment (K-Dense-AI/scientific-agent-skills, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Gtrace Ip Enrichment?
automateyournetwork (a GitHub user) maintains it in automateyournetwork/netclaw, which has 676 GitHub stars. The repository holds 120 skills in this directory. The repository was last updated on October 9, 2026.
Source: automateyournetwork/netclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.