A tool for creating structured Markdown reports, which are plain-text documents that use simple formatting symbols for headings, tables, and other sections.

Use it to create reports, documentation, summaries, writeups, status reports, tables, metrics, code examples, and other saved Markdown documents.

It turns a request for a report or summary into a consistently formatted file with organised sections and supporting details.

How minhlucvan/notebookmd configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to minhlucvan/notebookmd. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/minhlucvan/notebookmd/main/.claude/skills/report/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/minhlucvan/notebookmd

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/minhlucvan/notebookmd/report/github.svg)](https://agentmods.dev/skills/minhlucvan/notebookmd/report)

Your own site

<a href="https://agentmods.dev/skills/minhlucvan/notebookmd/report"><img src="https://agentmods.dev/badge/skills/minhlucvan/notebookmd/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/minhlucvan/notebookmd/report"><img src="https://agentmods.dev/badge/skills/minhlucvan/notebookmd/report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 758 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.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00046	$0.00758
Opus 5.5	$0.00018	$0.00303
Sonnet 5.5	$0.00009	$0.00152
Haiku 4.5	$0.00005	$0.00076

Measured 2mo ago against content hash 51970695f0f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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.

.claude/skills/report/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Markdown Report Generator

Generate a structured, professional Markdown report using the notebookmd library.

Input

Report topic: $ARGUMENTS

Instructions

1. Setup

from notebookmd import nb, NotebookConfig

n = nb("dist/report.md", title="<descriptive title>")

2. Report Structure

Adapt the structure to the topic. Common patterns:

Executive Summary Pattern:

n.section("Executive Summary")
n.metric_row([...])  # Top-line KPIs
n.write("Brief overview...")

n.section("Background")
n.write("Context and motivation...")

n.section("Methodology")
with n.expander("Details"):
    n.write("Step-by-step approach...")

n.section("Results")
n.table(results_df, name="Key Results")
n.kv(metrics_dict, title="Performance Metrics")

n.section("Conclusion")
n.success("Summary of outcomes")

Technical Report Pattern:

n.section("Overview")
n.kv(config_dict, title="Configuration")

n.section("Implementation")
n.code(code_snippet, lang="python")
n.note("Key technical detail...")

n.section("Results")
n.table(benchmarks_df, name="Benchmarks")

n.section("Next Steps")
n.write("1. Item one\n2. Item two")

Status Report Pattern:

n.section("Status Overview")
n.metric_row([
    {"label": "Complete", "value": "73%", "delta": "+5%"},
    {"label": "On Track", "value": "12/15"},
    {"label": "Blocked", "value": "2"},
])

n.section("Completed This Period")
n.write("- Task 1\n- Task 2")

n.section("In Progress")
n.progress(0.73, "Overall completion")
n.write("Current work items...")

n.section("Risks & Blockers")
n.warning("Risk description...")
n.error("Blocker description...")

3. Available Widgets

Text: n.title(), n.header(), n.subheader(), n.write(), n.md(), n.caption(), n.code(), n.latex(), n.text()

Data: n.metric(), n.metric_row(), n.table(), n.dataframe(), n.kv(), n.json(), n.summary()

Status: n.success(), n.error(), n.warning(), n.info(), n.progress(), n.badge()

Read the full file on GitHub · 110 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.

2mo ago First seen · 110 lines · 46 tokens per session scan A 51970695f0f9

Subscribe to this mod's changes

report is a skill published in the GitHub repository minhlucvan/notebookmd (10 stars, last pushed 6mo ago), licensed MIT. It adds 46 tokens to every session and 758 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 2026-08-31.

Documents Writing and docs ai-agents generator markdown notebook reporting

report next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
reportminhlucvan/notebookmd	Skill	10	6mo ago	MIT	A	46	Claude Code
reporting-pipelinesbobmatnyc/claude-mpm-skills	Skill	78	3mo ago	MIT	A	25	Claude Code
html-artifact-reportDeepCogNeural/html-artifact-report-skill	Skill	2	1mo ago	MIT	A	24	Claude Code, Codex
processing-markdownharehare/mq	Skill	1.1k	yesterday	MIT	A	36	Claude Code, Codex
document-generationautomateyournetwork/netclaw	Skill	715	yesterday	Apache-2.0	A	118	Claude Code
reportingericrisco/rsc-harness	Skill	503	2d ago	MIT	A	85	Claude Code, Codex
publishingdanjdewhurst/story-skills	Skill	392	2d ago	MIT	A	204	Claude Code

notebookmd: Skill for Claude Code