report-writing

report-writing is a skill for Claude Code, Codex from vstorm-co/pydantic-deepagents. It costs 14 tokens per session (433 once invoked), scanned A, original, MIT.

A set of guidelines for writing organized research reports with evidence, inline citations, conclusions, and a reference list.

In plain words
What is it for?
Use it to plan and write reports based on sources, including summaries, topic sections, cited claims, conclusions, and references.
Why use it?
It gives research findings a clear structure and helps readers check where factual claims came from. It also encourages defining technical terms and noting limitations.

Skill for Claude CodeCodex

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

Good fit Use it to plan and write reports based on sources, including summaries, topic sections, cited claims, conclusions, and references.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vstorm-co/pydantic-deepagents/report-writing
About the project

Pydantic Deep Agents is a self-hosted terminal AI assistant and Python framework for building coding, research, and other AI agents. It gives agents tools such as file access, shell commands, planning, memory, sub-agents, sandboxed execution, and MCP connections, and supports different models.

vstorm-co/pydantic-deepagents · 1,059 stars · on GitHub · vstorm-co.github.io

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 vstorm-co/pydantic-deepagents --skill report-writing
Clone the repo
git clone --depth 1 https://github.com/vstorm-co/pydantic-deepagents

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 report-writing

README.md
[![agentmods](https://agentmods.dev/badge/skills/vstorm-co/pydantic-deepagents/report-writing/github.svg)](https://agentmods.dev/skills/vstorm-co/pydantic-deepagents/report-writing)
Your own site
<a href="https://agentmods.dev/skills/vstorm-co/pydantic-deepagents/report-writing"><img src="https://agentmods.dev/badge/skills/vstorm-co/pydantic-deepagents/report-writing/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 report-writing

Your own site · 80×15
<a href="https://agentmods.dev/skills/vstorm-co/pydantic-deepagents/report-writing"><img src="https://agentmods.dev/badge/skills/vstorm-co/pydantic-deepagents/report-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 433 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 $0.00014 $0.00433
Opus 5 $0.00007 $0.00217
Sonnet 5 $0.00003 $0.00087
Haiku 4.5 $0.00001 $0.00043

Measured 10d ago against content hash e520b9284707, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

report-writing 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 10d 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.

apps/deepresearch/skills/report-writing/SKILL.md · 64 lines

What it actually says

Report Writing Guide

Report Structure

1. Title

  • Descriptive and specific
  • Include the scope or time frame if relevant
  • Example: "Advances in Protein Folding Since AlphaFold 3 (2024-2025)"

2. Executive Summary

  • 2-3 paragraphs summarizing key findings
  • Written last, after the full report is complete
  • Should stand alone — a reader should understand the main conclusions

3. Body Sections

  • Organize logically (chronological, thematic, or comparative)
  • Each section should address one sub-topic
  • Use inline citations [1][2] for every factual claim
  • Include data, statistics, and direct quotes where appropriate

4. Conclusions

  • Synthesize findings across all sections
  • Highlight key takeaways and implications
  • Note limitations of the research
  • Suggest areas for further investigation

5. References

  • Number references in order of first appearance
  • Format: [N] Author/Organization, "Title", URL, Accessed: YYYY-MM-DD

Writing Style

Clarity

  • Use clear, direct language
  • Define technical terms on first use
  • Prefer active voice over passive
  • Keep paragraphs focused on one idea

Objectivity

  • Present evidence before conclusions
  • Acknowledge counter-arguments
  • Use hedging language for uncertain claims ("suggests", "indicates", "appears to")
  • Distinguish between facts and interpretation

Citation Practices

  • Cite every factual claim, statistic, and quote
  • Use inline citations [N] immediately after the claim
  • Multiple citations for well-supported claims: [1][3][7]
  • Never present information without attribution

Formatting Tips

  • Use headers (##, ###) to create clear hierarchy
  • Use bullet points for lists of findings
  • Use tables for comparative data
  • Use blockquotes for direct quotes from sources
  • Bold key terms and important findings
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. 10d ago First seen · 64 lines · 14 tokens per session scan A e520b9284707

Subscribe to this mod's changes

report-writing is a skill published in the GitHub repository vstorm-co/pydantic-deepagents (1,059 stars, last pushed 18d ago), licensed MIT. It adds 14 tokens to every session and 433 once invoked, about $0.0001 per session on Opus 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

Other skills, from other repositories

pydantic-ai

Build production-ready AI agents with PydanticAI — type-safe tool use, structured outputs, dependency injection, and multi-model support.

davila7/claude-code-templates · 32 tokens

hive.slack-notifications-setup

Set up a Slack notification channel (Sentinel) for a colony by driving the browser — reuse or create the "Hive Sentinel" Slack app from a JSON manifest, install it, capture the bot + app tokens, create/select the channel via the Slack API, and turn Sentinel on so the colony can ping the user on Slack and accept…

aden-hive/hive · 136 tokens

hive.pdf

Read, write, merge, split, rotate, watermark, encrypt, and OCR PDF files using Python (pypdf, pdfplumber, reportlab, pypdfium2) and command-line tools (poppler-utils, qpdf). Use when the user asks to extract text/tables/images from a PDF, create or modify a PDF, combine or split PDFs, OCR a scanned PDF…

aden-hive/hive · 98 tokens

hive.chart-creation-foundations

Required reading whenever any chart tool is available. Teaches the one-tool embedding contract (call chartrender → live chart appears in chat AND a downloadable PNG lands in the queen session dir), the ECharts (data viz) vs Mermaid (structural diagrams) decision, the BI/financial-grade aesthetic baseline (no…

aden-hive/hive · 133 tokens

browser-edge-cases

SOP for debugging browser automation failures on complex websites. Use when browser tools fail on specific sites like LinkedIn, Twitter/X, SPAs, or sites with Shadow DOM.

aden-hive/hive · 40 tokens

hive.note-taking

Maintain a free-form scratchpad of decisions, extracted values, and open questions so context pruning doesn't lose anything you still need.

aden-hive/hive · 30 tokens