hr-organization-network-analysis

hr-organization-network-analysis is a skill for Claude Code, Codex from tuanductran/hr-skills. It costs 69 tokens per session (831 once invoked), scanned A, original, MIT.

A guide to organizational network analysis, which studies informal patterns of communication and collaboration between employees. It can reveal influential connectors, bottlenecks, silos, and weak links that an org chart does not show.

In plain words
What is it for?
Use it to design network studies, map collaboration patterns, identify hidden influencers and bottlenecks, assess onboarding or reorganizations, and plan targeted interventions.
Why use it?
It helps organizations understand how work and information actually move between people and teams. This can expose collaboration risks and show whether reorganizations or onboarding improve connections.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to design network studies, map collaboration patterns, identify hidden influencers and bottlenecks, assess onboarding or reorganizations, and plan targeted interventions.

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Install with agentmods
npx agentmods add skills/tuanductran/hr-skills/hr-organization-network-analysis
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add tuanductran/hr-skills --skill hr-organization-network-analysis
Clone the repo
git clone --depth 1 https://github.com/tuanductran/hr-skills

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin hr-organization-network-analysis/plugin install hr-organization-network-analysis after adding the marketplace above.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for hr-organization-network-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-organization-network-analysis/github.svg)](https://agentmods.dev/skills/tuanductran/hr-skills/hr-organization-network-analysis)
Your own site
<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-organization-network-analysis"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-organization-network-analysis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for hr-organization-network-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-organization-network-analysis"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-organization-network-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 831 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00069 $0.00831
Opus 5 $0.00034 $0.00415
Sonnet 5 $0.00014 $0.00166
Haiku 4.5 $0.00007 $0.00083

Measured 9d ago against content hash 26827ca9ad98, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

hr-organization-network-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/hr-organization-network-analysis/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Organizational network analysis

Analyze informal collaboration patterns — communication flows, cross-team connections, and influence networks — to surface dynamics the formal org chart doesn't show, from hidden influencers to silent bottlenecks and silos.

Supported tasks

  • Designing an organizational network analysis (ONA) study and data approach
  • Identifying informal influencers and connectors not reflected in the org chart
  • Detecting collaboration bottlenecks where too much flow depends on one person
  • Mapping silos and weak cross-team connections that limit collaboration
  • Analyzing network health before and after a reorganization
  • Identifying flight risk based on network centrality and disengagement signals
  • Assessing onboarding network integration for new hires
  • Designing interventions to strengthen weak but strategically important connections
  • Using ONA to inform succession planning beyond formal hierarchy
  • Communicating ONA findings sensitively, respecting privacy and trust
  • Comparing network structure across teams, functions, or locations
  • Tracking network changes over time to measure the effect of interventions

Key prompts

Study design

  1. "Design an organizational network analysis study for [team/function], including data sources and privacy safeguards."
  2. "What data sources (survey, calendar, communication metadata) are appropriate and proportionate for an ONA in [context]?"
  3. "Draft a consent and privacy framework for running an ONA that respects employee trust."
  4. "How do we communicate the purpose of an ONA to employees so it doesn't feel like covert surveillance?"

Identifying patterns

  1. "Analyze this network data to identify informal influencers or connectors who aren't reflected in the formal org chart."
  2. "Where are the collaboration bottlenecks in [team] — points where too much flow depends on one person?"
  3. "Identify silos or weak connections between [team A] and [team B] that could be limiting collaboration."
  4. "Which roles show signs of being overloaded network hubs at risk of burnout or single-point-of-failure attrition?"

Read the full file on GitHub · 65 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 65 lines · 69 tokens per session scan A 26827ca9ad98

Subscribe to this mod's changes

hr-organization-network-analysis is a skill published in the GitHub repository tuanductran/hr-skills (58 stars, last pushed today), licensed MIT. It adds 69 tokens to every session and 831 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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