MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Reason over the OSPF/IS-IS link-state topology as a whole — shortest and backup paths, per-area LSDB, edge and node failure simulation, MPLS-TE/CSPF feasibility, and a timeline of topology change…
$ npx skills add automateyournetwork/netclaw --skill topolograph-igp-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install automateyournetwork/netclaw topolograph-igp-analysis --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/topolograph-igp-analysis .claude/skills/topolograph-igp-analysis && 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 "topolograph-igp-analysis" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/topolograph-igp-analysis into .claude/skills/topolograph-igp-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "topolograph-igp-analysis", 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/topolograph-igp-analysisType 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 topolograph-igp-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install automateyournetwork/netclaw topolograph-igp-analysis --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/topolograph-igp-analysis .agents/skills/topolograph-igp-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "topolograph-igp-analysis" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/topolograph-igp-analysis into .agents/skills/topolograph-igp-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "topolograph-igp-analysis", 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 topolograph-igp-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install automateyournetwork/netclaw topolograph-igp-analysis --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/topolograph-igp-analysis .cursor/skills/topolograph-igp-analysis && 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 "topolograph-igp-analysis" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/topolograph-igp-analysis into .cursor/skills/topolograph-igp-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "topolograph-igp-analysis", 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/topolograph-igp-analysis--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 topolograph-igp-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install automateyournetwork/netclaw topolograph-igp-analysis --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/topolograph-igp-analysis .gemini/skills/topolograph-igp-analysis && 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 "topolograph-igp-analysis" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/topolograph-igp-analysis into .gemini/skills/topolograph-igp-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "topolograph-igp-analysis", 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 topolograph-igp-analysisInstalls 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 topolograph-igp-analysis -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/topolograph-igp-analysis .github/skills/topolograph-igp-analysis && 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 "topolograph-igp-analysis" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/topolograph-igp-analysis into .github/skills/topolograph-igp-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "topolograph-igp-analysis", 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 topolograph-igp-analysis -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 topolograph-igp-analysis --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/topolograph-igp-analysis .opencode/skills/topolograph-igp-analysis && 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 "topolograph-igp-analysis" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/topolograph-igp-analysis into .opencode/skills/topolograph-igp-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "topolograph-igp-analysis", 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.
topolograph-igp-analysisReason over the OSPF/IS-IS link-state topology as a whole — shortest and backup paths, per-area LSDB, edge and node failure simulation, MPLS-TE/CSPF feasibility, and a timeline of topology change…
Topolograph Igp Analysis is an agent skill from automateyournetwork/netclaw. Reason over the OSPF/IS-IS link-state topology as a whole — shortest and backup paths, per-area LSDB, edge and node failure simulation, MPLS-TE/CSPF feasibility, and a timeline of topology change events. Use when the question is about what the IGP believes the topology is, or what it would do if a link or node failed, rather than what one live device's routing table currently shows. Read-only.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Model Context Protocol. The repository describes itself as: An AI agent that claws through your network. The licence is Apache-2.0.
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.
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.
Hosts in commands or code, which the agent is likely to contact:
topolograph.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
TOPOLOGRAPH_API_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Topolograph Igp Analysis loads about 1.4k tokens when it runs. Until then it costs about 105 tokens; SKILL.md has 523 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). 523 words, ~1,399 tokens.
.claude/skills/topolograph-igp-analysis/SKILL.md (or your agent's skills folder).Every device-facing routing skill NetClaw has — pyats-routing,
pyats-junos-routing, multivendor-device-query — reads one live device's
RIB and LSDB. This one reasons over the whole area's link-state database
at once, from a graph Topolograph already built, and can simulate a change
without touching anything.
It answers "what does the IGP think the topology is, and what would it do if X failed?" — not "what is on this router right now."
topolograph-mcp is a remote HTTP MCP registered in config/openclaw.json.
There is no local server. It fronts your own Topolograph instance
(TOPOLOGRAPH_MCP_URL, default https://topolograph.com/mcp), bearer
TOPOLOGRAPH_API_TOKEN.
The server runs with TOPOLOGRAPH_MCP_READ_ONLY=true: mutation tools
(upload_graph, add_lsp, update_lsp, delete_lsp) are absent from
tools/list and cannot be called. Do not try to reach them — a topology
change belongs in the device-write path, gated, not here.
The tool filter is enforced with the DefenseClaw CLI, not a config block:
defenseclaw tool allow topolograph-mcp get_all_graphs
defenseclaw tool allow topolograph-mcp get_graph_by_time
defenseclaw tool allow topolograph-mcp get_network_by_graph_time
defenseclaw tool allow topolograph-mcp get_graph_status
defenseclaw tool allow topolograph-mcp get_network_events
defenseclaw tool allow topolograph-mcp get_adjacency_events
defenseclaw tool allow topolograph-mcp get_events_timeline
defenseclaw tool allow topolograph-mcp get_nodes
defenseclaw tool allow topolograph-mcp get_edges
defenseclaw tool allow topolograph-mcp get_lsps
defenseclaw tool allow topolograph-mcp get_shortest_path
defenseclaw tool allow topolograph-mcp get_cspf_path
defenseclaw tool allow topolograph-mcp get_edge_failure_reaction
defenseclaw tool block topolograph-mcp upload_graph
defenseclaw tool block topolograph-mcp add_lsp
defenseclaw tool block topolograph-mcp update_lsp
defenseclaw tool block topolograph-mcp delete_lspThe block lines are belt-and-braces: the server already hides those, but a
misconfigured (TOPOLOGRAPH_MCP_READ_ONLY=false) instance must not widen
NetClaw's surface.
| Tool | Answers |
|---|---|
get_all_graphs | Which stored topology snapshots exist (filter by protocol, area, date). Start here to get a graph_time. |
get_graph_by_time | The full graph for one snapshot. |
get_graph_status | Health of a snapshot — is it complete and consistent. |
get_network_by_graph_time | Which prefixes/networks are in the graph, by mask/area. |
get_nodes | Routers in the area, filterable by role flag (ABR/ASBR, IS-IS overload/attached). |
get_edges | Adjacencies, with include=["lsps","is_te_link","lsp_left_bw","edge_key"] for MPLS-TE fields. |
get_lsps | MPLS-TE LSP tunnels, filter by status, via_node, via_edge. |
get_shortest_path | SPF path between two nodes; with_lsps=true accounts for autoroute tunnels. |
get_cspf_path | Constrained-SPF feasibility between two nodes — never mutates the graph. |
get_edge_failure_reaction | Whole-network impact if one or more links fail: stays connected? rerouting pattern? Simulation only. |
get_network_events / get_adjacency_events | Raw topology-change events in a time range. |
get_events_timeline | The same events grouped into waves for incident narration. |
| Question | Skill |
|---|---|
| "What does the IGP topology look like / what if this link fails?" | this skill |
| "What is in this router's routing table / LSDB right now?" | pyats-routing, pyats-junos-routing, multivendor-device-query |
| "Is this adjacency actually up on the device?" | the platform routing skill |
| "Push a metric / cost change" | device-write path, gated — never here |
Topolograph reasons over a stored snapshot. If the question is "is this true on the wire this second", confirm on the device after.
get_edge_failure_reaction,
get_cspf_path) as something that happened. It is a prediction over a
snapshot.graph_time as current — check get_all_graphs for
the latest snapshot, and say how old it is.TOPOLOGRAPH_API_TOKEN is set and valid before assuming a data or device problem.© 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/topolograph-igp-analysis of automateyournetwork/netclaw.
Open the folder on GitHubat commit aa90e7d
Topolograph Igp Analysis 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 |
|---|---|---|---|---|---|---|
| Topolograph Igp Analysis this skillautomateyournetwork/netclaw | 676 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Figma use_figma Plugin API Ruleswarpdotdev/warp | 65k | 4 repos | ~4.4k | Automated safety check: Pass | AGPL-3.0 | |
| Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills | 8.5k | 6 repos | ~3.2k | Automated safety check: Notes | Apache-2.0 |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
anthropics/claude-plugins-official
Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
warpdotdev/warp
Required groundwork before any use_figma call: the rules and reference files for running JavaScript in a Figma file through the Plugin API without common failures.
google-labs-code/stitch-skills
Builds walkthrough videos from Stitch design projects using Remotion, with transitions, zoom effects and text overlays on each screen.
coollabsio/coolify
A skill your agent uses for Laravel MCP development. An agent skill from coollabsio/coolify.
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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.
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Arista CloudVision Portal (CVP) automation via REST API — device inventory, events, connectivity monitoring, tag management (4 tools).
automateyournetwork/netclaw
AWS CloudWatch monitoring — metrics, alarms, log queries, VPC flow log analysis, network performance.
Works with
Reason over the OSPF/IS-IS link-state topology as a whole — shortest and backup paths, per-area LSDB, edge and node failure simulation, MPLS-TE/CSPF feasibility, and a timeline of topology change…. Topolograph Igp Analysis is an agent skill from automateyournetwork/netclaw. Reason over the OSPF/IS-IS link-state topology as a whole — shortest and backup paths, per-area LSDB, edge and node failure simulation, MPLS-TE/CSPF feasibility, and a timeline of topology change events.
Topolograph Igp Analysis fits situations like: the question is about what the IGP believes the topology is; what it would do if a link; rather than what one live devices routing table currently shows.
Run `npx skills add automateyournetwork/netclaw --skill topolograph-igp-analysis -a claude-code`. Or copy the skill folder (workspace/skills/topolograph-igp-analysis in automateyournetwork/netclaw) into .claude/skills/topolograph-igp-analysis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add automateyournetwork/netclaw --skill topolograph-igp-analysis -a codex`. Or copy the skill folder (workspace/skills/topolograph-igp-analysis in automateyournetwork/netclaw) into .agents/skills/topolograph-igp-analysis 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 topolograph-igp-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/topolograph-igp-analysis, .gemini/skills/topolograph-igp-analysis, .github/skills/topolograph-igp-analysis and .opencode/skills/topolograph-igp-analysis in your project.
Going by SKILL.md and its folder, Topolograph Igp Analysis needs credentials named TOPOLOGRAPH_API_TOKEN. Our summary lists: A credential in TOPOLOGRAPH_API_TOKEN.
SKILL.md names 1 domain. In commands or code: topolograph.com; the agent is likely to contact it when it follows the instructions. 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.
Topolograph Igp Analysis 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 1.4k tokens (SKILL.md is roughly 5.6k 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 Topolograph Igp Analysis: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k 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.