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 | $0.00010 | $0.05387 |
| Sonnet 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 6d 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.
- 6d 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 (470 stars, last pushed 15d ago), licensed MIT. It adds 20 tokens to every session and 10,774 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.
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