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.
npx skills add KirKruglov/claude-skills-kit --skill csv-data-analyzergit clone --depth 1 https://github.com/KirKruglov/claude-skills-kitWrote 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.
[](https://agentmods.dev/skills/kirkruglov/claude-skills-kit/csv-data-analyzer)<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/csv-data-analyzer"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/csv-data-analyzer.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00132 | $0.01615 |
| Opus 5 | $0.00066 | $0.00807 |
| Sonnet 5 | $0.00026 | $0.00323 |
| Haiku 4.5 | $0.00013 | $0.00161 |
Grade A, and why
csv-data-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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CSV Data Analyzer
This skill analyzes CSV files with business data for non-technical users through a conversational question flow — without code, formulas, or external tools. Claude reads the CSV directly, profiles its structure, asks one clarifying question about your goal, and delivers numbered insights with a plain-language interpretation.
Input:
- A CSV file accessible in the Cowork workspace (uploaded or in the selected folder)
Output:
- Markdown response with: dataset profile, numbered key insights, data snapshot table, plain-language interpretation, and follow-up suggestions
Language Detection
Detect the user's language from their message:
- If Russian (or contains Cyrillic): respond in Russian
- If English (or other Latin-script language): respond in English
- If ambiguous: respond in the language of the trigger phrase used
Instructions
Step 1: Locate and Read the CSV File
-
Identify the CSV file from the user's message
- If a file path or filename is provided: use it directly
- If no path given: look for a CSV file in the Cowork workspace folder
- If no CSV file found: stop and report — "I don't see a CSV file. Please upload the file or confirm it's in your selected Cowork folder, then try again."
-
Read the file content as plain text
- If the file cannot be parsed as CSV (binary, corrupted, wrong format): stop and report — "This file doesn't appear to be a valid CSV. Please check the file format and try again."
Step 2: Profile the Dataset
-
Count rows and columns (exclude the header row from row count)
- If only 1 row exists (header only, no data): stop and report — "This CSV has no data rows — only headers. Please check the file and try again with a populated dataset."
-
Identify column names from the first row
- If no header row detected (all rows look like data rows): assign generic names Column 1, Column 2, … and note: "I couldn't detect column headers — I'll use generic names."
-
Infer data type for each column: numeric, text, date, or boolean
- If a column contains mixed types (numbers and text): note the inconsistency; treat column as text; recommend cleaning before numeric analysis
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.
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.
- 8d ago First seen · 133 lines · 132 tokens per session scan A 78987651393c
csv-data-analyzer is a skill published in the GitHub repository KirKruglov/claude-skills-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 132 tokens to every session and 1,615 once invoked, about $0.0007 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.
Other skills, from other repositories
vox-video-director
Turn ONE topic into a finished Vox-style paper-collage explainer / ad video, end to end with Aliyun Bailian CLI + local ffmpeg — script, collage keyframes, motion, voice-over, music, captions, all automated. Use this whenever the user wants a "Vox style" video, a paper/torn-paper collage animation, a "motion collage"…
bailian-train-deploy
A workflow for using Alibaba Cloud’s Bailian command-line tool to fine-tune or directly deploy AI models as callable services. It covers text, speech-synthesis, image-generation, and video-generation models.
spark-video-cast
Scaffold and generate reference assets for characters (cast), locations (movie-set / set dressing), and key props — the three pillars of visual consistency in spark-video. Wraps bl image generate / edit for portrait creation. Use when adding new characters/locations/props or when costume/state changes are needed.
spark-video-screenwriter
Turn a user's premise into a structured screenplay (one scene at a time) for the spark-video pipeline. Wraps Shanyin Super Screenwriting Master when available — that upstream Shanyin SKILL is the single source of truth for craft when present.
task-observer
Monitors task execution for skill improvement opportunities. Use during ANY multi-step task, agentic workflow, or work session where the agent uses tools and produces deliverables. Captures patterns, user corrections, workflow insights, and methodology worth preserving as reusable skills. Also triggers in post-task…
financial-expert
A financial research skill for China and Hong Kong securities, funds, company finances, economic indicators, research reports, announcements, news, and business-risk data. It returns data and neutral analysis rather than placing trades or recommending investments.