generate-report

generate-report is a skill for Claude Code, Codex from dandye/ai-runbooks. It costs 38 tokens per session (611 once invoked), scanned A, original, Apache-2.0.

A reporting workflow that saves investigation results as timestamped Markdown files. Markdown is a plain-text format commonly used for readable technical documents.

In plain words
What is it for?
Use it to create reports about alerts, indicators of compromise, cases, threat hunts, or incidents in a reports directory.
Why use it?
It turns temporary findings from security triage or investigation into a persistent report that can be reviewed later.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create reports about alerts, indicators of compromise, cases, threat hunts, or incidents in a reports directory.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dandye/ai-runbooks/generate-report
Install

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.

Any agent
npx skills add dandye/ai-runbooks --skill generate-report
Clone the repo
git clone --depth 1 https://github.com/dandye/ai-runbooks

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for generate-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/dandye/ai-runbooks/generate-report/github.svg)](https://agentmods.dev/skills/dandye/ai-runbooks/generate-report)
Your own site
<a href="https://agentmods.dev/skills/dandye/ai-runbooks/generate-report"><img src="https://agentmods.dev/badge/skills/dandye/ai-runbooks/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.

agentmods 80×15 button for generate-report

Your own site · 80×15
<a href="https://agentmods.dev/skills/dandye/ai-runbooks/generate-report"><img src="https://agentmods.dev/badge/skills/dandye/ai-runbooks/generate-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 611 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.00611
Opus 5.5 $0.00015 $0.00244
Sonnet 5.5 $0.00008 $0.00122
Haiku 4.5 $0.00004 $0.00061

Measured 2mo ago against content hash fe995efc75bf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 2mo 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.

skills/generate-report/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Generate Report Skill

Save generated report content to a markdown file with standardized naming convention.

Inputs

  • REPORT_CONTENT - The full markdown content of the report
  • REPORT_TYPE - Short identifier for the report type:
    • alert_triage - Alert triage reports
    • ioc_enrichment - IOC enrichment reports
    • case_investigation - Case investigation reports
    • hunt_summary - Threat hunt reports
    • incident_report - Incident response reports
  • REPORT_NAME_SUFFIX - Descriptive suffix (e.g., case ID, IOC value, hunt name)
  • (Optional) TARGET_DIRECTORY - Directory to save in (default: ./reports/)

Workflow

Step 1: Construct Filename

Generate standardized filename:

{TARGET_DIRECTORY}/{REPORT_TYPE}_{REPORT_NAME_SUFFIX}_{YYYYMMDD_HHMM}.md

Examples:

  • ./reports/alert_triage_case_1234_20250115_1430.md
  • ./reports/ioc_enrichment_198.51.100.10_20250115_0900.md
  • ./reports/hunt_summary_APT29_20250115_1200.md

Step 2: Write File

Use the Write tool to save REPORT_CONTENT to the constructed path.

Outputs

Output Description
REPORT_FILE_PATH Full path to the saved report file
WRITE_STATUS Success/failure status of the write operation

Report Template Structure

# [Report Type]: [Subject]

**Generated:** [timestamp]
**Runbook:** [runbook name that generated this]
**Case/Alert ID:** [if applicable]

## Summary
[Brief overview of findings]

## Details
[Detailed findings, enrichment data, etc.]

## Assessment
[Risk assessment, classification]

## Recommendations
[Next steps, actions to take]

## Appendix
[Raw data, tool outputs, diagrams]

Naming Convention

Report Type Suffix Example Full Example
alert_triage case_1234 alert_triage_case_1234_20250115_1430.md
ioc_enrichment evil.com ioc_enrichment_evil.com_20250115_0900.md
hunt_summary APT29 hunt_summary_APT29_20250115_1200.md

Read the full file on GitHub · 84 lines

Changes

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.

  1. 2mo ago First seen · 84 lines · 38 tokens per session scan A fe995efc75bf

Subscribe to this mod's changes

generate-report is a skill published in the GitHub repository dandye/ai-runbooks (132 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 38 tokens to every session and 611 once invoked, about $0.0002 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.

Related

generate-report compared with skills from other repositories

generate-report next to 6 skills from other repositories
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generate-reportdandye/ai-runbooksSkill1322mo agoApache-2.0A38Claude Code, Codex
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local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79kyesterdayMITA200Claude Code, Codex
playwright-climicrosoft/playwrightSkill100kyesterdayApache-2.0A19Claude Code
browser-automationopenclaw/openclawSkill394ktodayMITA36Claude Code
systematic-debuggingobra/superpowersSkill315k5d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code