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.
npx skills add jdmorag97-rgb/DDC_Skills_for_AI_Agents_in_Construction --skill n8n-project-managementgit clone --depth 1 https://github.com/jdmorag97-rgb/DDC_Skills_for_AI_Agents_in_ConstructionWrote 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.
[](https://agentmods.dev/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/n8n-project-management)<a href="https://agentmods.dev/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/n8n-project-management"><img src="https://agentmods.dev/badge/skills/jdmorag97-rgb/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.
<a href="https://agentmods.dev/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/n8n-project-management"><img src="https://agentmods.dev/badge/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/n8n-project-management.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once 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 |
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") This is a copy
100% identical to n8n-project-management — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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) │ │
│ └─────────────┘ └─────────────┘ │
│ │
└──────────────────────────────────────────────────────────────────────┘
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.
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.
- 9d ago First seen · 620 lines · 35 tokens per session scan A b2a091d8cf37
n8n-project-management is a skill published in the GitHub repository jdmorag97-rgb/DDC_Skills_for_AI_Agents_in_Construction (2 stars, last pushed 6mo 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). It is 100% identical to n8n-project-management, differing in 0 lines, and is treated as a copy.
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