report-analyzer

report-analyzer is a skill for Claude Code, Codex from KirKruglov/claude-skills-kit. It costs 184 tokens per session (1,807 once invoked), scanned A, original, MIT.

A skill for analyzing large PDF or PowerPoint reports and producing a short structured summary. It identifies the report's main message, figures, insights, and section layout.

In plain words
What is it for?
Use it with consulting, research, market-analysis, or other PDF and PowerPoint reports when you need key findings, data, and structure summarized.
Why use it?
It turns a long report into a quick overview without requiring the reader to inspect every page first.

Skill for Claude CodeCodex

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

Good fit Use it with consulting, research, market-analysis, or other PDF and PowerPoint reports when you need key findings, data, and structure summarized.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kirkruglov/claude-skills-kit/report-analyzer
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 KirKruglov/claude-skills-kit --skill report-analyzer
Clone the repo
git clone --depth 1 https://github.com/KirKruglov/claude-skills-kit

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-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/report-analyzer/github.svg)](https://agentmods.dev/skills/kirkruglov/claude-skills-kit/report-analyzer)
Your own site
<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/report-analyzer"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/report-analyzer/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-analyzer

Your own site · 80×15
<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/report-analyzer"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/report-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 184 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,807 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00184 $0.01807
Opus 5.5 $0.00074 $0.00723
Sonnet 5.5 $0.00037 $0.00361
Haiku 4.5 $0.00018 $0.00181

Measured 1mo ago against content hash 981df30f6652, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

report-analyzer 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.

skills/data-analysis/report-analyzer/SKILL.md · 258 lines

How it starts

The opening of the file, as written. The whole thing — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Report Analyzer

Analyzes large reports (PDF, PPTX) and produces a structured summary with key data and insights.

Target audience: product managers, marketers, analysts, finance professionals, C-level executives.


Language Detection

Detect the language from the user's message. Use that language for all output — the summary document, clarifying questions, and responses. If the user writes in Russian, respond and generate the output in Russian. If in English — in English.


Input

  • A PDF or PPTX report file
  • The user specifies the file name or path in their message, or uploads the file directly

Output

A structured summary document (up to 1.5 pages) containing:

  • Report metadata
  • Executive Summary
  • Key figures and data
  • Key insights
  • Report structure

Instructions

Step 1 — Locate the input file

The user specifies the report file name in their message. Locate the file using this order:

  1. Check the current working directory and subdirectories (e.g. input/ folder or project root)
  2. If the user provided a full path — use it directly

File search:

find . -iname "*.pdf" -o -iname "*.pptx" 2>/dev/null

If the file is not found — ask the user:

"Please specify the exact file name or path to the report, or upload the file directly. Supported formats: PDF, PPTX."

If the format is not supported:

"This skill works with PDF and PPTX files. Please provide a file in one of these formats."


Step 2 — Ask clarifying questions

Ask the user the following questions before proceeding:

Question 1: "What is the analysis focus?"

  • General overview
  • Numbers and data
  • Strategic takeaways
  • Everything combined

Question 2: "What output file format do you prefer?"

  • .md
  • .pdf
  • .docx

Do not create the output file until both questions are answered.


Step 3 — Read and process the file

For PDF:

import pdfplumber

with pdfplumber.open("path/to/file.pdf") as pdf:
    text = ""
    for page in pdf.pages:
        text += page.extract_text() or ""
        # Extract tables
        tables = page.extract_tables()

Read the full file on GitHub · 258 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago First seen · 258 lines · 184 tokens per session scan A 981df30f6652

Subscribe to this mod's changes

report-analyzer is a skill published in the GitHub repository KirKruglov/claude-skills-kit (22 stars, last pushed 3mo ago), licensed MIT. It adds 184 tokens to every session and 1,807 once invoked, about $0.0007 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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