Borrowing it
Nothing to install: this file belongs to aget-framework/aget. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/aget-framework/aget/main/.claude/skills/aget-generate-report/SKILL.mdgit clone --depth 1 https://github.com/aget-framework/agetWrote 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/aget-framework/aget/aget-generate-report)<a href="https://agentmods.dev/skills/aget-framework/aget/aget-generate-report"><img src="https://agentmods.dev/badge/skills/aget-framework/aget/aget-generate-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/aget-framework/aget/aget-generate-report"><img src="https://agentmods.dev/badge/skills/aget-framework/aget/aget-generate-report.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 | $0.00015 | $0.00497 |
| Opus 5.5 | $0.00006 | $0.00199 |
| Sonnet 5.5 | $0.00003 | $0.00099 |
| Haiku 4.5 | $0.00002 | $0.00050 |
Grade A, and why
aget-generate-report scanned grade A with 0 findings 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
aget-generate-report
Generate structured reports presenting analysis results, metrics, and insights. Tailored to audience needs.
Instructions
When this skill is invoked:
-
Determine Report Parameters
- Report type: Status, Analysis, Summary, Executive
- Target audience: Executive, Technical, Operational
- Scope and time period
-
Structure the Report
- Executive Summary (always first)
- Key Metrics with definitions
- Findings and Analysis
- Recommendations
- Appendix (if needed)
-
Populate Content
- Lead with most important findings
- Include visualizations where data supports
- Use appropriate detail level for audience
-
Quality Check
- Verify all metrics have context
- Ensure recommendations are actionable
- Check navigation for long reports
Output Format
# [Report Title]
**Date**: [YYYY-MM-DD]
**Author**: [Agent Name]
**Audience**: [Executive/Technical/Operational]
**Period**: [Time range covered]
---
## Executive Summary
[2-3 sentences capturing key takeaways]
**Key Findings**:
- [Finding 1]
- [Finding 2]
---
## Metrics
| Metric | Value | Definition | Trend |
|--------|-------|------------|-------|
| [Metric 1] | [Value] | [What it measures] | [↑/↓/→] |
---
## Findings
### [Finding Category 1]
[Detailed analysis with supporting data]
---
## Recommendations
1. **[Action]**: [Rationale]
---
## Appendix
[Supporting data, methodology, raw tables]
Constraints
- C1: NEVER include raw data dumps without context — reports must interpret data
- C2: NEVER bury critical findings in appendices — key findings must be prominent
- C3: NEVER generate reports exceeding 10 pages without sectioned navigation
Related
- SKILL-017: aget-generate-report specification
- ONTOLOGY_analyst.yaml: Report, Metric, Visualization concepts
- CAP-ANL-002: Report Generation capability
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 · 101 lines · 15 tokens per session scan A 0c258ddeec24
aget-generate-report is a skill published in the GitHub repository aget-framework/aget (12 stars, last pushed 7d ago), licensed Apache-2.0. It adds 15 tokens to every session and 497 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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