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 datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill n8n-photo-reportgit clone --depth 1 https://github.com/datadrivenconstruction/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/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/n8n-photo-report)<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/n8n-photo-report"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/n8n-photo-report/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/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/n8n-photo-report"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/n8n-photo-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
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 →
- medium Data Exfiltration · line 57 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 184 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.
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 | $0.00022 | $0.01807 |
| Opus 5 | $0.00011 | $0.00903 |
| Sonnet 5 | $0.00004 | $0.00361 |
| Haiku 4.5 | $0.00002 | $0.00181 |
Grade A, and why
n8n-photo-report scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.post(webhook_url, json=payload) Copies of this mod
1 near-identical copy found in the catalogue:
- n8n-photo-report — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
n8n Photo Report Automation
Business Case
Site photos require organization, analysis, and reporting. This workflow automates photo collection, AI analysis, and report generation.
Workflow Overview
[Photo Upload] → [AI Analysis] → [Categorization] → [Report Generation] → [Distribution]
n8n Workflow Configuration
1. Photo Input Triggers
{
"nodes": [
{
"name": "Photo Webhook",
"type": "n8n-nodes-base.webhook",
"parameters": {
"httpMethod": "POST",
"path": "photo-upload",
"options": {
"binaryData": true
}
}
},
{
"name": "Watch Dropbox Folder",
"type": "n8n-nodes-base.dropbox",
"parameters": {
"operation": "listFolder",
"path": "/SitePhotos/{{$today}}"
}
}
]
}
2. AI Image Analysis
{
"name": "Analyze with Claude Vision",
"type": "n8n-nodes-base.httpRequest",
"parameters": {
"method": "POST",
"url": "https://api.anthropic.com/v1/messages",
"headers": {
"x-api-key": "={{$env.ANTHROPIC_API_KEY}}",
"anthropic-version": "2023-06-01"
},
"body": {
"model": "claude-3-5-sonnet-20241022",
"max_tokens": 1024,
"messages": [{
"role": "user",
"content": [
{
"type": "image",
"source": {
"type": "base64",
"media_type": "image/jpeg",
"data": "={{$binary.data.toString('base64')}}"
}
},
{
"type": "text",
"text": "Analyze this construction site photo. Identify: 1) Work activity visible, 2) Approximate completion status, 3) Any safety concerns, 4) Weather conditions. Return JSON format."
}
]
}]
}
}
}
3. Categorize and Store
{
"nodes": [
{
"name": "Parse AI Response",
"type": "n8n-nodes-base.code",
"parameters": {
"jsCode": "const response = JSON.parse($json.content[0].text);\n\nreturn [{\n json: {\n filename: $('Photo Webhook').first().json.filename,\n timestamp: new Date().toISOString(),\n activity: response.work_activity,\n completion: response.completion_status,\n safety_issues: response.safety_concerns,\n weather: response.weather,\n category: response.work_activity.includes('concrete') ? 'CONCRETE' :\n response.work_activity.includes('steel') ? 'STEEL' :\n response.work_activity.includes('mep') ? 'MEP' : 'GENERAL'\n }\n}];"
}
},
{
"name": "Store in Airtable",
"type": "n8n-nodes-base.airtable",
"parameters": {
"operation": "create",
"table": "Site Photos",
"fields": {
"Filename": "={{$json.filename}}",
"Date": "={{$json.timestamp}}",
"Activity": "={{$json.activity}}",
"Category": "={{$json.category}}",
"Completion": "={{$json.completion}}",
"Safety Issues": "={{$json.safety_issues}}"
}
}
}
]
}
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 · 211 lines · 22 tokens per session scan A 4b83d93dc182
n8n-photo-report is a skill published in the GitHub repository datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction (310 stars, last pushed 21d ago), licensed MIT. It adds 22 tokens to every session and 1,807 once invoked, about $0.0001 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.
Other skills, from other repositories
catchup
Summarize and review what changed while you were away. Use after a weekend, vacation, or flight to check missed PRs, git commits, Linear tickets, and meetings — one prioritized brief, not a firehose.
plan
Plan features spanning multiple domains: billing (Stripe), auth (RBAC), real-time (Presence), webhooks, jobs (Oban). Use when designing interconnected systems or converting review findings into tasks.
work
Execute Elixir/Phoenix plan tasks with progress tracking. Use after /phx:plan to implement features with mix compile and mix test verification after each step, or --continue to resume interrupted work.
phx-deps-update
Bump outdated Hex deps — inventory, snapshot changelogs, update, fix breaks, split reviewable PRs (patches bundled, majors solo). Use to upgrade/bump Elixir dependencies or when versions fall behind. NOT for deps.get failures (phx-investigate).
timeline-creator
Create HTML timelines and project roadmaps with Gantt charts, milestones, phase groupings, and progress indicators. Use when users request timelines, roadmaps, Gantt charts, project schedules, or milestone visualizations.
proposal-writer
Write a client proposal, quote, scope of work, or engagement letter for a service business. Covers project understanding, scope, timeline, pricing presentation, and terms. Use whenever the user asks for a proposal, quote, project proposal, client proposal, SOW, statement of work, engagement letter, or B2B service…