Calculate network centrality metrics to identify important nodes in graphs.
$ npx skills add asgard-ai-platform/skills --skill algo-net-centrality -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgard-ai-platform/skills algo-net-centrality --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/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/algo-net-centrality .claude/skills/algo-net-centrality && 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 "algo-net-centrality" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-net-centrality into .claude/skills/algo-net-centrality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-net-centrality", 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/asgard-ai-platform/skills/tree/main/algo-net-centralityType 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 asgard-ai-platform/skills --skill algo-net-centrality -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgard-ai-platform/skills algo-net-centrality --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/algo-net-centrality .agents/skills/algo-net-centrality && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "algo-net-centrality" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-net-centrality into .agents/skills/algo-net-centrality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-net-centrality", 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 asgard-ai-platform/skills --skill algo-net-centrality -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgard-ai-platform/skills algo-net-centrality --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/algo-net-centrality .cursor/skills/algo-net-centrality && 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 "algo-net-centrality" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-net-centrality into .cursor/skills/algo-net-centrality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-net-centrality", 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/asgard-ai-platform/skills.git --path algo-net-centrality--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 asgard-ai-platform/skills --skill algo-net-centrality -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgard-ai-platform/skills algo-net-centrality --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/algo-net-centrality .gemini/skills/algo-net-centrality && 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 "algo-net-centrality" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-net-centrality into .gemini/skills/algo-net-centrality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-net-centrality", 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 asgard-ai-platform/skills algo-net-centralityInstalls 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 asgard-ai-platform/skills --skill algo-net-centrality -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/algo-net-centrality .github/skills/algo-net-centrality && 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 "algo-net-centrality" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-net-centrality into .github/skills/algo-net-centrality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-net-centrality", 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 asgard-ai-platform/skills --skill algo-net-centrality -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgard-ai-platform/skills algo-net-centrality --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/algo-net-centrality .opencode/skills/algo-net-centrality && 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 "algo-net-centrality" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-net-centrality into .opencode/skills/algo-net-centrality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-net-centrality", 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.
algo-net-centralityCalculate network centrality metrics to identify important nodes in graphs.
Algo Net Centrality is an agent skill from asgard-ai-platform/skills. Calculate network centrality metrics to identify important nodes in graphs. Use this skill when the user needs to find key influencers, critical infrastructure nodes, or central actors in a network — even if they say 'who is most important in this network', 'key nodes', or 'network influence measurement'.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `examples/sample_scenario.md`, `references/approximate-betweenness.md` and `references/metric-comparison.md`).
It sits in Marketing & SEO, covering Influencer and creator marketing. The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 4e7f4f8. 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 json).
From 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.
Algo Net Centrality loads about 1.3k tokens when it runs, and up to ~6.3k if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 479 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 asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 479 words, ~1,266 tokens.
.claude/skills/algo-net-centrality/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Centrality measures quantify node importance in a network. Four classical metrics: degree (connections), betweenness (bridge role), closeness (proximity), eigenvector (connection quality). Each captures a different aspect of importance. Complexity ranges from O(V+E) for degree to O(V×E) for betweenness.
Trigger conditions:
When NOT to use:
IRON LAW: Different Centrality Metrics Answer DIFFERENT Questions
- Degree: Who has the most connections? (popularity)
- Betweenness: Who bridges communities? (brokerage)
- Closeness: Who can reach everyone fastest? (efficiency)
- Eigenvector: Who is connected to important people? (prestige)
Using the WRONG metric answers the WRONG question. Choose based on
what "important" means in your context.Build network graph from edge list or adjacency matrix. Determine: directed vs undirected, weighted vs unweighted, connected vs disconnected. Gate: Graph is well-formed, largest connected component identified.
Check: centrality values normalized [0,1]. Top nodes by each metric may differ — this is expected and informative. Sanity check top-5 against domain knowledge. Gate: All metrics computed, top nodes make intuitive sense.
Return centrality scores with multi-metric comparison.
{
"centralities": [{"node": "Alice", "degree": 0.85, "betweenness": 0.42, "closeness": 0.71, "eigenvector": 0.90}],
"metadata": {"nodes": 500, "edges": 2000, "directed": false, "connected_components": 1}
}Input: 5-node undirected graph (bridge topology): edges = {(A,B), (A,C), (B,C), (C,D), (D,E)}
A --- B
\ /
C
|
D --- EExpected centralities (normalized by N-1 = 4):
| Node | Degree | Betweenness | Closeness | Eigenvector |
|---|---|---|---|---|
| A | 0.50 (2/4) | 0.000 | 0.571 (4/7) | 0.452 |
| B | 0.50 (2/4) | 0.000 | 0.571 (4/7) | 0.452 |
| C | 0.75 (3/4) | 0.667 | 0.800 (4/5) | 0.628 |
| D | 0.50 (2/4) | 0.500 | 0.667 (4/6) | 0.386 |
| E | 0.25 (1/4) | 0.000 | 0.500 (4/8) | 0.201 |
Verify: C is the bridge — highest in ALL four metrics. E is the periphery — lowest in all metrics. A and B are symmetric (identical scores). D has nonzero betweenness (bridges C to E) but lower degree than C.
| Input | Expected | Why |
|---|---|---|
| Star graph | Center has max all centralities | Hub dominates in all metrics |
| Disconnected graph | Closeness undefined for disconnected pairs | Use harmonic centrality instead |
| Directed graph | In-degree ≠ out-degree centrality | Popularity (in) vs activity (out) |
references/metric-comparison.mdreferences/approximate-betweenness.md© asgard-ai-platform, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in algo-net-centrality of asgard-ai-platform/skills.
Open the folder on GitHubat commit 4e7f4f8
Algo Net Centrality 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 |
|---|---|---|---|---|---|---|
| Algo Net Centrality this skillasgard-ai-platform/skills | 242 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Audience ResearchScrapeCreators/social-media-research-skills | 3.4k | — | ~635 | Automated safety check: Notes | MIT | |
| Influencer Discoverytigerless-labs/influencer-discovery | 212 | — | ~2.5k | Automated safety check: Notes | None | |
| Opencloneteam-attention/openclone | 130 | — | ~2.6k | Automated safety check: Notes | MIT | |
| Reelclaw Adsdansugc/reelclaw | 145 | — | ~3.9k | Automated safety check: Notes | MIT | |
| Affiliate CheckAffitor/affiliate-skills | 701 | — | ~808 | Automated safety check: Notes | MIT |
ScrapeCreators/social-media-research-skills
A skill your agent uses when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments…
tigerless-labs/influencer-discovery
Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in Google Sheets.
team-attention/openclone
Create, manage, or talk to an openclone "clone" — a named AI persona with one or more categories (vc, tech, founder, expert, influencer, politician, celebrity) and attached knowledge.
dansugc/reelclaw
Make short-form UGC video ads (TikTok, Reels, Shorts) for the product in the current repo with DansUGC ReelClaw and real human creator reactions from the DansUGC library.
Affitor/affiliate-skills
Live affiliate program data from openaffiliate.dev. An agent skill from Affitor/affiliate-skills.
vivy-yi/xiaohongshu-skills
A skill your agent uses when monitoring Xiaohongshu marketing campaign performance, tracking promotion effectiveness, analyzing advertising ROI, measuring influencer collaboration results…
asgard-ai-platform/skills
Implement BM25 ranking function for e-commerce product search relevance scoring.
asgard-ai-platform/skills
Calculate Cpk process capability index to assess whether a process meets specification requirements.
asgard-ai-platform/skills
Calculate price elasticity of demand to quantify how price changes affect sales volume.
asgard-ai-platform/skills
Apply Bayesian averaging to rank items by combining observed ratings with prior expectations.
asgard-ai-platform/skills
Implement Elo rating system to rank items or players from pairwise comparison outcomes.
asgard-ai-platform/skills
Calculate Wilson Score confidence intervals for ranking items by positive proportion with sample size correction.
Categories
Calculate network centrality metrics to identify important nodes in graphs. Algo Net Centrality is an agent skill from asgard-ai-platform/skills. Calculate network centrality metrics to identify important nodes in graphs.
Algo Net Centrality fits situations like: the user needs to find key influencers; critical infrastructure nodes; central actors in a network — even if they say who is most important in this network; network influence measurement.
Run `npx skills add asgard-ai-platform/skills --skill algo-net-centrality -a claude-code`. Or copy the skill folder (algo-net-centrality in asgard-ai-platform/skills) into .claude/skills/algo-net-centrality in your project. Claude Code loads it when a task matches its description.
Run `npx skills add asgard-ai-platform/skills --skill algo-net-centrality -a codex`. Or copy the skill folder (algo-net-centrality in asgard-ai-platform/skills) into .agents/skills/algo-net-centrality 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 asgard-ai-platform/skills --skill algo-net-centrality -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/algo-net-centrality, .gemini/skills/algo-net-centrality, .github/skills/algo-net-centrality and .opencode/skills/algo-net-centrality in your project.
SKILL.md names no scripts, command-line tools or credentials: Algo Net Centrality is instructions for the agent only.
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.
Algo Net Centrality is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Algo Net Centrality: Audience Research (ScrapeCreators/social-media-research-skills, 3.4k stars), Influencer Discovery (tigerless-labs/influencer-discovery, 212 stars), Openclone (team-attention/openclone, 130 stars) and Reelclaw Ads (dansugc/reelclaw, 145 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.
Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
