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-photo-reportgit 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-photo-report)<a href="https://agentmods.dev/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/n8n-photo-report"><img src="https://agentmods.dev/badge/skills/jdmorag97-rgb/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/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/n8n-photo-report"><img src="https://agentmods.dev/badge/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/n8n-photo-report.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 | $0.00022 | $0.01807 |
| Opus 5 | $0.00011 | $0.00903 |
| Sonnet 5 | $0.00004 | $0.00361 |
| Haiku 4.5 | $0.00002 | $0.00181 |
Grade A, and why
n8n-photo-report scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.post(webhook_url, json=payload) This is a copy
100% identical to n8n-photo-report — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
n8n Photo Report Automation
Business Case
Site photos require organization, analysis, and reporting. This workflow automates photo collection, AI analysis, and report generation.
Workflow Overview
[Photo Upload] → [AI Analysis] → [Categorization] → [Report Generation] → [Distribution]
n8n Workflow Configuration
1. Photo Input Triggers
{
"nodes": [
{
"name": "Photo Webhook",
"type": "n8n-nodes-base.webhook",
"parameters": {
"httpMethod": "POST",
"path": "photo-upload",
"options": {
"binaryData": true
}
}
},
{
"name": "Watch Dropbox Folder",
"type": "n8n-nodes-base.dropbox",
"parameters": {
"operation": "listFolder",
"path": "/SitePhotos/{{$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.
- 8d ago First seen · 211 lines · 22 tokens per session scan A 4b83d93dc182
n8n-photo-report 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 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). It is 100% identical to n8n-photo-report, differing in 0 lines, and is treated as a copy.
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List all managed projects with status, branch, open PRs, and open issue counts — portfolio-level view.
magpie-security-issue-import-from-md
Open one or more tracking issues from a markdown file containing a batch of security findings. Each finding becomes one tracker landing in the Needs triage board column. The file itself is the full report — there is no inbound reporter to reply to and no PR to inspect.