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 cosmicstack-labs/mercury-agent-skills --skill report-generationgit clone --depth 1 https://github.com/cosmicstack-labs/mercury-agent-skillsWrote 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/cosmicstack-labs/mercury-agent-skills/report-generation)<a href="https://agentmods.dev/skills/cosmicstack-labs/mercury-agent-skills/report-generation"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/report-generation/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/cosmicstack-labs/mercury-agent-skills/report-generation"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/report-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00020 | $0.10774 |
| Opus 5.5 | $0.00008 | $0.04310 |
| Sonnet 5.5 | $0.00004 | $0.02155 |
| Haiku 4.5 | $0.00002 | $0.01077 |
Grade A, and why
report-generation 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(api_endpoint, headers=headers, params=params) How it starts
The opening of the file, as written. The whole thing — 1,492 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Report Generation
Create structured, data-driven PDF reports that communicate insights effectively. This skill covers the full pipeline — from data sources and templates to polished PDF output with charts, tables, and professional formatting.
Report Structure Fundamentals
A well-structured report follows a consistent pattern that guides the reader from context to conclusions.
Standard Report Anatomy
┌────────────────────────────────────────┐
│ Cover Page │
│ Title, subtitle, author, date, │
│ organization branding │
├────────────────────────────────────────┤
│ Table of Contents │
│ Auto-generated from headings │
├────────────────────────────────────────┤
│ Executive Summary │
│ Key findings in 1-2 paragraphs │
├────────────────────────────────────────┤
│ Introduction / Background │
│ Context, objectives, scope │
├────────────────────────────────────────┤
│ Methodology │
│ How data was collected/analyzed │
├────────────────────────────────────────┤
│ Findings / Results │
│ Data presentation with charts/tables │
├────────────────────────────────────────┤
│ Discussion │
│ Interpretation of results │
├────────────────────────────────────────┤
│ Conclusions │
│ Summary of key takeaways │
├────────────────────────────────────────┤
│ Recommendations │
│ Actionable next steps │
├────────────────────────────────────────┤
│ Appendices │
│ Raw data, methodology details, refs │
└────────────────────────────────────────┘
Report Metadata Standards
"""Report metadata schema for consistent document properties."""
from dataclasses import dataclass, field
from datetime import datetime
from typing import Optional
@dataclass
class ReportMetadata:
"""Standard metadata for all generated reports."""
title: str
subtitle: Optional[str] = None
author: str = "Automated Report System"
organization: str = "Cosmic Stack Labs"
department: Optional[str] = None
version: str = "1.0"
report_date: str = field(default_factory=lambda: datetime.now().strftime("%Y-%m-%d"))
period_start: Optional[str] = None
period_end: Optional[str] = None
classification: str = "Internal"
document_id: Optional[str] = None
keywords: list[str] = field(default_factory=list)
def to_dict(self) -> dict:
"""Convert to dictionary for template rendering."""
return {
'title': self.title,
'subtitle': self.subtitle,
'author': self.author,
'organization': self.organization,
'department': self.department,
'version': self.version,
'report_date': self.report_date,
'period_start': self.period_start,
'period_end': self.period_end,
'classification': self.classification,
'document_id': self.document_id or f"RPT-{self.report_date}-{hash(self.title) % 10000:04d}",
'keywords': ', '.join(self.keywords) if self.keywords else '',
}
# Usage
metadata = ReportMetadata(
title="Q4 2024 Performance Analysis",
subtitle="Infrastructure & Operations Review",
author="Data Engineering Team",
department="Engineering",
version="2.1",
period_start="2024-10-01",
period_end="2024-12-31",
classification="Confidential",
keywords=["performance", "infrastructure", "q4-2024", "analytics"],
)
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 · 1,492 lines · 20 tokens per session scan A 77ff08fd0f46
report-generation is a skill published in the GitHub repository cosmicstack-labs/mercury-agent-skills (487 stars, last pushed 2mo ago), licensed MIT. It adds 20 tokens to every session and 10,774 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.
Other skills, from other repositories
A set of instructions for working with PDF files, which are documents designed to preserve their layout across devices.
pptx-posters
Create research posters using HTML/CSS that can be exported to PDF or PPTX. Use this skill ONLY when the user explicitly requests PowerPoint/PPTX poster format. For standard research posters, use latex-posters instead. This skill provides modern web-based poster design with responsive layouts and easy visual…
report-generator
A report-generation tool for producing SEO and GEO analysis reports in formats such as Markdown, HTML, PDF, JSON, and Excel. It also supports charts, templates, data processing, and interactive report elements.
PDF manipulation toolkit. Extract text/tables, create PDFs, merge/split, fill forms, for programmatic document processing and analysis.
huashu-md-to-pdf
A document converter that turns Markdown files into professionally formatted PDF white papers with an Apple-style design.
slides-as-code
Build research slides with text-first source (Slidev/Marp/Reveal/Quarto) and reproducible export (PDF). Includes structure, figure reuse rules, and quality checklist for top-tier scientific presentations.