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DataPython

Report Card

by SerhiiKorniienko

Report Card is a Data skill for Claude Code, published by SerhiiKorniienko in bullshit-detector.

125 stars7 forkson SerhiiKorniienko/bullshit-detectorAdded 2026/08/11+21% in starsRepository updated 2026/08/10
agent-skillsai-agentsclaude-codecontent-analysisfact-checkingmisinformationskillsyt-dlp
Install in seconds
Install Report Card
Copy Report Card into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/SerhiiKorniienko/bullshit-detector/tree/main/skills/publishing/report-card ~/.claude/skills/report-card

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/SerhiiKorniienko/bullshit-detector.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/publishing/report-card/SKILL.md in SerhiiKorniienko/bullshit-detector
Installs to
~/.claude/skills/report-card
Collection
One of 7 skills cataloged from this repository
Category
Data668 skills

What Report Card does

Turns a completed BS report markdown file into a self-contained HTML page with a score hero, filterable claims, mobile-friendly cards, and print styling — ideal for sharing, presenting, or printing the report.

Report Card is cataloged under Data on DirSkills. Report Card comes from a repository tagged agent-skills, ai-agents, claude-code, content-analysis and fact-checking.

Documentation

README

report-card

Turn bs-report-<slug>-<date>.md into one HTML file anybody can open.

The markdown is the artifact and stays the artifact — it is what tally.py checks, what gets diffed against a later run, and what gets committed. This skill adds a reader-facing view of that same file. It renders; it never edits, recounts, or adds. Every number on the page is copied from the markdown verbatim.

Why this exists

A BS report is a five-column claims table. On a laptop that is fine. On a phone — which is where a shared link is actually opened — the Evidence column is unreadable, and the reader's first question ("what's wrong with it?") means scrolling twenty rows to find the two that matter.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Report Card

  • What else does SerhiiKorniienko publish alongside Report Card?

    Report Card is one of 7 skills that DirSkills catalogs from SerhiiKorniienko/bullshit-detector, the repository it ships in. Its siblings there include Bullshit Detector, Coverage Check and Explain. Each one is a separate skill with its own page in this directory, installs the same way Report Card does, and is maintained by SerhiiKorniienko in that same repository. The rest of the collection is listed on the SerhiiKorniienko/bullshit-detector page.

  • How does Report Card compare to other Data skills?

    Report Card ranks #621 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Report Card against them. Open each page to compare what they document and how they install.

More from SerhiiKorniienko/bullshit-detector

Report Card is one of 7 skills cataloged on DirSkills from SerhiiKorniienko/bullshit-detector.

See all 7 skills
🔍
3w ago

Bullshit Detector

Fact-check and hype-audit any content: video, article, tweet, PDF. Extracts claims, verifies each via web search, and produces a report card with per-claim verdicts and an overall BS score (0-10). Use to evaluate credibility or debunk claims.
Quality
1257
🔍
3w ago

Coverage Check

Analyze news coverage to distinguish between many independent sources and a single source reprinted many times. Queries GDELT for articles, groups by headline similarity, and estimates the number of distinct origins behind a claim.
Quality
1257
🔍
3w ago

Explain

Explains content or concepts at the requested depth (ELI5, practitioner, deep-dive) with a jargon glossary and context the original assumes, flagging oversimplifications or errors.
Writing
1257
📥
3w ago

Fetch Content

Fetch and normalize any content source (YouTube, TikTok, web articles, PDFs, tweets, local files) into clean text with metadata. Use when you need to extract actual text for summarization, analysis, or fact-checking.
Automation
1257
📣
3w ago

Share

Converts any analysis report into platform-specific social media posts (X/Twitter, LinkedIn, Facebook, Reddit, Hacker News, newsletters) and generates branded image carousels (PNGs + PDF) for visual platforms. Use when you need to share, publish, or promote a report online.
Automation
1257
📝
3w ago

Summarize

Produce a structured summary of a video, article, tweet thread, or PDF — TLDR, key points with timestamps/locations, notable quotes, and who should read/watch it. Use when the user asks to summarize a link or file, wants a TLDR, or asks 'what does this video/article say' / 'is this worth watching'.
Writing
1257