Endpoint Probe
hoangsonww/Claude-Code-Agent-Monitor
Probes each major Agent Monitor API route — /api/stats, /api/analytics, /api/sessions, /api/pricing/cost, /api/workflows/runs, /api/cc-config/overview — and reports each one's HTTP status, latency…
Measure a public endpoint from thousands of probes worldwide - ping, traceroute, DNS, MTR and HTTP from real vantage points on the internet.
$ npx skills add automateyournetwork/netclaw --skill globalping-external-checks -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install automateyournetwork/netclaw globalping-external-checks --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/globalping-external-checks .claude/skills/globalping-external-checks && 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 "globalping-external-checks" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/globalping-external-checks into .claude/skills/globalping-external-checks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "globalping-external-checks", 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/globalping-external-checksType 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 globalping-external-checks -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install automateyournetwork/netclaw globalping-external-checks --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/globalping-external-checks .agents/skills/globalping-external-checks && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "globalping-external-checks" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/globalping-external-checks into .agents/skills/globalping-external-checks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "globalping-external-checks", 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 globalping-external-checks -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install automateyournetwork/netclaw globalping-external-checks --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/globalping-external-checks .cursor/skills/globalping-external-checks && 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 "globalping-external-checks" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/globalping-external-checks into .cursor/skills/globalping-external-checks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "globalping-external-checks", 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/globalping-external-checks--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 globalping-external-checks -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install automateyournetwork/netclaw globalping-external-checks --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/globalping-external-checks .gemini/skills/globalping-external-checks && 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 "globalping-external-checks" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/globalping-external-checks into .gemini/skills/globalping-external-checks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "globalping-external-checks", 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 globalping-external-checksInstalls 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 globalping-external-checks -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/globalping-external-checks .github/skills/globalping-external-checks && 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 "globalping-external-checks" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/globalping-external-checks into .github/skills/globalping-external-checks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "globalping-external-checks", 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 globalping-external-checks -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 globalping-external-checks --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/globalping-external-checks .opencode/skills/globalping-external-checks && 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 "globalping-external-checks" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/globalping-external-checks into .opencode/skills/globalping-external-checks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "globalping-external-checks", 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.
globalping-external-checksMeasure a public endpoint from thousands of probes worldwide - ping, traceroute, DNS, MTR and HTTP from real vantage points on the internet.
Globalping External Checks is an agent skill from automateyournetwork/netclaw. Measure a public endpoint from thousands of probes worldwide - ping, traceroute, DNS, MTR and HTTP from real vantage points on the internet. Use when asked whether the outside world can reach a service, to compare latency between regions, to check DNS propagation, or to answer 'is it us or the internet?'. Public targets only.
Its SKILL.md is about 2.6k 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.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit aa90e7d. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Globalping External Checks loads about 2.6k tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 1,224 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.
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.
The full file from automateyournetwork/netclaw at commit aa90e7d, republished under its Apache-2.0 licence (© automateyournetwork). 1,224 words, ~2,647 tokens.
.claude/skills/globalping-external-checks/SKILL.md (or your agent's skills folder).Every other device-facing tool NetClaw has looks at the network from the inside. This one looks at it from the outside — ~4,800 probes across ~1,390 autonomous systems, measuring toward a public target.
It is the tool for "the router is fine, so why can't anyone reach us?"
These look similar and mean completely different things. Getting them confused is the single failure mode this skill exists to prevent.
| Response | What it means | What to say |
|---|---|---|
no_probes_found (422) | The measurement never ran. No probe matched the location filter. | "Nothing was tested — no probes matched that location. Retrying with a broader filter." |
finished, 0 of N successful | The target did not answer. Probes ran and got nothing. | "Unreachable from all N probes — this is a real finding." |
| Target refused before calling | Out of scope. Private/internal address. | "Globalping only measures public endpoints. Use pyATS/multivendor-cli instead." |
no_probes_found is NOT an outage. It arrives looking like a failure and tells you nothing whatsoever
about the target. Reporting it as unreachability escalates an incident that does not exist. When you see it,
say the measurement did not run, widen the location, and try again.
0 of N successful IS a finding, and a valuable one. The measurement succeeded; the answer is "nobody out there could reach it." Report it as the answer, not as an error.
Check the target before every call. Refuse locally, do not let Globalping refuse it for you:
| Refuse | Why |
|---|---|
10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16 | RFC1918 private |
127.0.0.0/8, localhost | Loopback |
169.254.0.0/16, fe80::/10 | Link-local |
fc00::/7 | Private IPv6 |
| Any internal-only hostname | Not resolvable from the internet, and discloses naming |
Globalping rejects these server-side too — but by then the address or hostname has already been sent to a third party. Refusing locally is a disclosure control, not a correctness one.
When refusing, name the tool to use instead:
"10.0.0.1 is a private address — Globalping measures from the public internet and can't reach it. For internal reachability use pyATS (
run_show_commandwith ping) or multivendor-cli; for a path from this host outward, use gtrace."
Five measurement tools. All take target, locations, limit and context.
ping — reachability and latencypython3 $MCP_CALL globalping-mcp ping '{
"target":"example.com", "locations":"world", "limit":10, "packets":3,
"context":"Validating external reachability and latency distribution for a public service endpoint during operational troubleshooting."
}'traceroute — the path from a probe toward the targetpython3 $MCP_CALL globalping-mcp traceroute '{
"target":"example.com", "locations":["Japan","Germany"], "limit":2,
"context":"Identifying the network path and potential failure point toward a public endpoint from two distant regions."
}'dns — resolution and propagationpython3 $MCP_CALL globalping-mcp dns '{
"target":"example.com", "locations":"world", "limit":15, "queryType":"A",
"context":"Verifying global DNS propagation consistency for a public domain record following a planned change."
}'mtr — per-hop loss and latency togetherpython3 $MCP_CALL globalping-mcp mtr '{
"target":"example.com", "locations":"Singapore", "limit":2,
"context":"Correlating per-hop packet loss with latency toward a public endpoint to localise a degradation."
}'http — application-layer reachability, status and timingpython3 $MCP_CALL globalping-mcp http '{
"target":"example.com", "locations":"world", "limit":10, "method":"GET", "path":"/",
"context":"Confirming HTTP availability and response timing for a public web endpoint across multiple global regions."
}'limits — check the budget before a big investigationpython3 $MCP_CALL globalping-mcp limits '{
"context":"Reviewing remaining measurement allowance before planning a broad multi-region reachability investigation."
}'locations — are there probes where you want to measure from?python3 $MCP_CALL globalping-mcp locations '{
"context":"Checking probe availability in a target region before issuing a narrowly scoped measurement request."
}'Call this before using a narrow filter. It is the difference between a wasted call and a real answer.
getMeasurement retrieves a prior result by id. help, authStatus, compareLocations and
get_more_tools are self-describing — use them if you want, they need no guidance here.
| To express | Write | |
|---|---|---|
| A city within a country | London+UK | + means AND |
| Several distinct places | ["London","Frankfurt"] | an array |
| A cloud provider in a region | Amazon+Germany | |
| Diverse global spread | world | |
| An autonomous system | AS3320 | |
| A country or region | US, Europe, Greece |
"London,UK" does not work. A comma inside a single string fails. Use + for AND, or an array for
several locations.
AS13335 never returns probes — even though it appears as an example in Globalping's own tool
documentation. Cloudflare hosts no probes. AS15169 (Google) hosts none either. AS3320, AS16509 and AS174 do.
So when an ASN filter returns no_probes_found, the overwhelmingly likely cause is that ASN has no
probes, not that the syntax is wrong. Check locations rather than rewriting the filter. Only ~1,390 of
the internet's autonomous systems host a probe.
limit is what you spend500 probe-measurements/hour with a token (250/hour unauthenticated, per IP). Rolling one-hour window, shared across everything using the token.
The cost of a call equals its probe count. limit: 1 spends 1, limit: 5 spends 5, limit: 20 spends
20. Calling limits to check the budget is free.
So limit is the dial that spends the allowance — choose it for the question being asked:
| Question | Suggested limit | Cost |
|---|---|---|
| "Is it up?" — quick spot check | 3-5 | 3-5 |
| "Is it slow from certain regions?" — geographic spread | 10-20 | 10-20 |
| "Has DNS propagated globally?" — wide sample genuinely needed | 20-30 | 20-30 |
| Anything above 30 | make it a conscious decision | 30+ |
Five 100-probe world tests exhaust the hour. Don't reach for limit: 100 because it is available.
Equally, don't loop where one call would do: ten separate 3-probe pings cost the same 30 units as one 30-probe ping, but give you ten small unattributed samples instead of one broad comparable set. Prefer one right-sized call.
Call limits first before a big investigation — it costs nothing and tells you what you have.
Every latency, loss and resolver figure must be reported with the probe location that produced it. Geographic variance is the entire reason to use this tool; an unattributed average destroys the signal.
Never generalise one probe into a regional claim. One probe in Frankfurt is one probe in Frankfurt, not "Europe".
Good: "Reachable from 9 of 10 probes. 12ms from Frankfurt, 18ms from London, 210ms from São Paulo, timeout from Sydney."
Bad: "Average latency 68ms." — hides that one region is broken.
Resolvers disagreeing is the answer during a propagation check. Report the split, never an average or a single winner.
Good: "11 of 15 probes return the new address (203.0.113.10); 4 still return the old one (198.51.100.5) — Singapore, Mumbai, Sydney, Tokyo. Propagation is incomplete in APAC."
| Question | Tool |
|---|---|
| "Can the outside world reach this, right now, from many places?" | this skill |
| "Is this worse than last week? What's the trend?" | ThousandEyes — continuous, baselined, paid |
| "What path does traffic take from this host outward?" | gtrace — one vantage point, ours |
| "Is the device/interface/protocol itself healthy?" | pyATS, multivendor-cli, SuzieQ |
Globalping is ad-hoc and free with ~4,800 vantage points. It cannot tell you whether today is worse than last Tuesday — it holds no history. If the question involves a baseline, it is a ThousandEyes question.
Use this to measure infrastructure the operator runs. Do not sweep, enumerate, or probe third-party infrastructure, and do not use it to survey hosts the operator has no responsibility for. If a request looks like reconnaissance of somebody else's estate rather than validation of the operator's own service, say so and stop.
context fieldEvery tool requires a context argument: a 15-25 word, third-person description of why the call is being
made. Globalping states it is used for "analytics and user intent tracking".
This text leaves NetClaw and reaches a third party. Keep it generic and task-shaped:
The examples in this skill are all safe to reuse verbatim.
(For reference: the server currently accepts calls with context omitted despite marking it required. Send it
anyway — it is the documented contract, and relying on unenforced behaviour would break every call at once if
that changed.)
limits output includes a short fragment of the token (first 8 characters after a prefix). Don't paste raw
limits output into a ticket, chat channel, or anywhere public.
© 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
Just SKILL.md in workspace/skills/globalping-external-checks of automateyournetwork/netclaw.
Open the folder on GitHubat commit aa90e7d
Globalping External Checks 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 |
|---|---|---|---|---|---|---|
| Globalping External Checks this skillautomateyournetwork/netclaw | 676 | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Endpoint Probehoangsonww/Claude-Code-Agent-Monitor | 1.1k | — | ~734 | Automated safety check: Pass | MIT | |
| PingIvanMurzak/Unity-MCP | 4.4k | — | ~403 | Automated safety check: Pass | Apache-2.0 | |
| Globalping AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~742 | Automated safety check: Pass | None | |
| External Linksthedaviddias/Front-End-Checklist | 74k | — | ~773 | Automated safety check: Pass | MIT | |
| Auditing EndpointsPostHog/posthog | 40k | — | ~2.9k | Automated safety check: Pass | Custom licence |
hoangsonww/Claude-Code-Agent-Monitor
Probes each major Agent Monitor API route — /api/stats, /api/analytics, /api/sessions, /api/pricing/cost, /api/workflows/runs, /api/cc-config/overview — and reports each one's HTTP status, latency…
IvanMurzak/Unity-MCP
Lightweight readiness probe. An agent skill from IvanMurzak/Unity-MCP.
ComposioHQ/awesome-claude-skills
Automate Globalping tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
thedaviddias/Front-End-Checklist
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PostHog/posthog
Audit every endpoint in a PostHog project for staleness, failed materialisations, and unused materialised versions.
PostHog/posthog
Create a PostHog endpoint with the right shape on the first try — covers query kind choice, name conventions, what to expose as variables (HogQL codename vs insight breakdown), datafreshnessseconds…
automateyournetwork/netclaw
Entry point for designing EVE-NG network labs: classifies the request, gathers missing requirements, proposes options and validates the resulting topology.
automateyournetwork/netclaw
Deploys Cisco ACI policy changes only behind an approved ServiceNow Change Request, capturing pre and post-change fault baselines and rolling back automatically on a fault delta.
automateyournetwork/netclaw
Runs a phased health audit of a Cisco ACI fabric through MCP tools: node status, links, tenant and policy review, faults and endpoint learning.
automateyournetwork/netclaw
Validate Arista EOS network state against ANTA's pre-built 208-test catalogue, with structured pass/fail verdicts.
automateyournetwork/netclaw
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automateyournetwork/netclaw
AWS CloudWatch monitoring — metrics, alarms, log queries, VPC flow log analysis, network performance.
Measure a public endpoint from thousands of probes worldwide - ping, traceroute, DNS, MTR and HTTP from real vantage points on the internet. Globalping External Checks is an agent skill from automateyournetwork/netclaw. Measure a public endpoint from thousands of probes worldwide - ping, traceroute, DNS, MTR and HTTP from real vantage points on the internet.
Globalping External Checks fits situations like: asked whether the outside world can reach a service; compare latency between regions; check DNS propagation; answer is it us.
Run `npx skills add automateyournetwork/netclaw --skill globalping-external-checks -a claude-code`. Or copy the skill folder (workspace/skills/globalping-external-checks in automateyournetwork/netclaw) into .claude/skills/globalping-external-checks in your project. Claude Code loads it when a task matches its description.
Run `npx skills add automateyournetwork/netclaw --skill globalping-external-checks -a codex`. Or copy the skill folder (workspace/skills/globalping-external-checks in automateyournetwork/netclaw) into .agents/skills/globalping-external-checks in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add automateyournetwork/netclaw --skill globalping-external-checks -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/globalping-external-checks, .gemini/skills/globalping-external-checks, .github/skills/globalping-external-checks and .opencode/skills/globalping-external-checks in your project.
Going by SKILL.md and its folder, Globalping External Checks needs the command-line tools its instructions call (python3). Our summary lists: Python 3; A credential in GLOBALPING_TOKEN.
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.
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.
Globalping External Checks 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.
About 2.6k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Globalping External Checks: Endpoint Probe (hoangsonww/Claude-Code-Agent-Monitor, 1.1k stars), Ping (IvanMurzak/Unity-MCP, 4.4k stars), Globalping Automation (ComposioHQ/awesome-claude-skills, 77k stars) and External Links (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.