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 daily-report-generatorgit 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/daily-report-generator)<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/daily-report-generator"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/daily-report-generator/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/daily-report-generator"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/daily-report-generator.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 112 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 504 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 | $0.00027 | $0.04722 |
| Opus 5.5 | $0.00011 | $0.01889 |
| Sonnet 5.5 | $0.00005 | $0.00944 |
| Haiku 4.5 | $0.00003 | $0.00472 |
Grade A, and why
daily-report-generator 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 1mo 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(url, params=params) Copies of this mod
1 near-identical copy found in the catalogue:
- daily-report-generator — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 573 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Daily Report Generator for Construction Sites
Automate the creation of comprehensive daily construction reports by aggregating data from multiple sources into professional documentation.
Business Case
Problem: Site managers spend 45-60 minutes daily on:
- Collecting information from foremen
- Checking weather conditions
- Compiling worker counts and hours
- Writing narrative summaries
- Formatting and distributing reports
Solution: Automated system that:
- Pulls data from Google Sheets/project database
- Integrates weather API data
- Aggregates worker timesheets
- Generates professional PDF reports
- Distributes to stakeholders automatically
ROI: 80% reduction in daily reporting time (45 min → 9 min for review)
Report Structure
┌──────────────────────────────────────────────────────────────────────┐
│ DAILY CONSTRUCTION REPORT │
│ │
│ Project: ЖК Солнечный, Корпус 2 Date: 24.01.2026 │
│ Report #: DCR-2026-024 Weather: ☁️ -5°C │
├──────────────────────────────────────────────────────────────────────┤
│ │
│ 1. WEATHER CONDITIONS │
│ ┌────────────┬────────────┬────────────┬────────────┐ │
│ │ Morning │ Afternoon │ Evening │ Impact │ │
│ │ -8°C ☀️ │ -5°C ☁️ │ -7°C 🌙 │ Normal │ │
│ └────────────┴────────────┴────────────┴────────────┘ │
│ │
│ 2. WORKFORCE │
│ ┌────────────────────────────────────────────────────┐ │
│ │ Category │ Planned │ Actual │ Hours │ │
│ ├────────────────────────────────────────────────────┤ │
│ │ GC Supervision │ 3 │ 3 │ 27 │ │
│ │ Electrical │ 12 │ 11 │ 88 │ │
│ │ Plumbing │ 8 │ 8 │ 64 │ │
│ │ HVAC │ 6 │ 6 │ 48 │ │
│ │ TOTAL │ 29 │ 28 │ 227 │ │
│ └────────────────────────────────────────────────────┘ │
│ │
│ 3. WORK COMPLETED TODAY │
│ • Electrical: Completed rough-in floors 5-6 │
│ • Plumbing: Installed risers section A │
│ • HVAC: Ductwork installation 60% complete │
│ │
│ 4. WORK PLANNED FOR TOMORROW │
│ • Electrical: Begin rough-in floor 7 │
│ • Plumbing: Continue risers section B │
│ • HVAC: Complete ductwork, begin testing │
│ │
│ 5. ISSUES / DELAYS │
│ • Material delay: Electrical panels (ETA: 26.01) │
│ • Weather: Expected snow may delay exterior work │
│ │
│ 6. SAFETY │
│ ✅ No incidents │
│ ✅ Toolbox talk completed: Fall protection │
│ │
│ 7. PHOTOS │
│ [Photo 1: Floor 5 electrical] [Photo 2: Riser installation] │
│ │
│ ───────────────────────────────────────────────────────────────── │
│ Prepared by: Иван Петров, Site Manager │
│ Approved by: ___________________ │
│ Distribution: Owner, Architect, PM │
└──────────────────────────────────────────────────────────────────────┘
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.
- 1mo ago First seen · 573 lines · 27 tokens per session scan A 7c05a8c37920
daily-report-generator is a skill published in the GitHub repository datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction (373 stars, last pushed 8d ago), licensed MIT. It adds 27 tokens to every session and 4,722 once invoked, about $0.0001 per session on Opus 5.5. 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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