n8n-project-management

n8n-project-management is a skill for Claude Code, Codex from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction. It costs 35 tokens per session (4,822 once invoked), scanned A, original, MIT.

An automated construction project-management system using Telegram, n8n, and Google Sheets. It sends tasks and reminders, collects text, photos, and GPS updates, and gives managers current project information.

In plain words
What is it for?
Use it to manage construction tasks, gather progress reports and site photos, record locations, and store updates in Google Sheets.
Why use it?
It brings task assignment, field reporting, photo records, and completion tracking into one workflow instead of scattered calls and messages.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to manage construction tasks, gather progress reports and site photos, record locations, and store updates in Google Sheets.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/n8n-project-management
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 datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill n8n-project-management
Clone the repo
git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

Made for: Claude Code, Codex.

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 n8n-project-management

README.md
[![agentmods](https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/n8n-project-management/github.svg)](https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/n8n-project-management)
Your own site
<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/n8n-project-management"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/n8n-project-management/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 n8n-project-management

Your own site · 80×15
<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/n8n-project-management"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/n8n-project-management.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,822 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 5 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 425
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • medium Data Exfiltration · line 76
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 189
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 193
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 189
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 $0.00035 $0.04822
Opus 5 $0.00017 $0.02411
Sonnet 5 $0.00007 $0.00964
Haiku 4.5 $0.00003 $0.00482

Measured 9d ago against content hash b2a091d8cf37, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

n8n-project-management scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

response = requests.get(f"https://api.telegram.org/bot{BOT_TOKEN}/getMe")
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

3_DDC_Insights/Automation-Workflows/n8n-project-management/SKILL.md · 620 lines

How it starts

The opening of the file, as written. The whole thing — 620 lines — stays where its author put it; the contents beside it link to each section on GitHub.

n8n Project Management System for Construction

Build a universal task management and reporting system for construction projects using n8n automation, Telegram bot, and Google Sheets.

Business Case

Problem: Construction managers spend 2-3 hours daily on:

  • Distributing tasks to foremen and workers
  • Collecting progress updates via calls/messages
  • Compiling photo documentation
  • Tracking task completion status

Solution: Automated system that:

  • Sends task reminders via Telegram at scheduled times
  • Collects status reports (text + photos + GPS)
  • Auto-saves all data to Google Sheets
  • Provides real-time visibility to managers

ROI: 70% reduction in administrative time for task management

Source Repository

https://github.com/datadrivenconstruction/Project-management-n8n-with-task-management-and-photo-reports

System Architecture

┌──────────────────────────────────────────────────────────────────────┐
│                    PROJECT MANAGEMENT SYSTEM                          │
├──────────────────────────────────────────────────────────────────────┤
│                                                                       │
│   MANAGER                          WORKER                            │
│   ┌─────────────┐                  ┌─────────────┐                   │
│   │ Google      │                  │ Telegram    │                   │
│   │ Sheets      │                  │ Bot         │                   │
│   │             │                  │             │                   │
│   │ • Tasks     │    n8n           │ • /start    │                   │
│   │ • Schedule  │◄──Workflow──────►│ • Tasks     │                   │
│   │ • Reports   │                  │ • Photos    │                   │
│   │ • Photos    │                  │ • GPS       │                   │
│   └─────────────┘                  └─────────────┘                   │
│         │                                │                           │
│         ▼                                ▼                           │
│   ┌─────────────┐                  ┌─────────────┐                   │
│   │ Dashboard   │                  │ Google      │                   │
│   │ View        │                  │ Drive       │                   │
│   │             │                  │ (Photos)    │                   │
│   └─────────────┘                  └─────────────┘                   │
│                                                                       │
└──────────────────────────────────────────────────────────────────────┘

Read the full file on GitHub · 620 lines

Files

What ships with it

2 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 · 620 lines · 35 tokens per session scan A b2a091d8cf37

Subscribe to this mod's changes

n8n-project-management is a skill published in the GitHub repository datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction (312 stars, last pushed 21d ago), licensed MIT. It adds 35 tokens to every session and 4,822 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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