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 agentmods add skills/fkesheh/skill-mcp/example-skillnpx skills add fkesheh/skill-mcp --skill example-skillgit clone --depth 1 https://github.com/fkesheh/skill-mcpWrote 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/fkesheh/skill-mcp/example-skill)<a href="https://agentmods.dev/skills/fkesheh/skill-mcp/example-skill"><img src="https://agentmods.dev/badge/skills/fkesheh/skill-mcp/example-skill.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 | $0.00039 | $0.00442 |
| Opus 5 | $0.00019 | $0.00221 |
| Sonnet 5 | $0.00008 | $0.00088 |
| Haiku 4.5 | $0.00004 | $0.00044 |
Grade A, and why
example-data-processor 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 4d 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.
What it actually says
Example Data Processor
This skill demonstrates a complete skill structure with scripts, references, and proper documentation.
What This Skill Does
Processes CSV data files with these capabilities:
- Clean and validate data
- Transform columns
- Generate summary statistics
- Export results
Usage
Process a CSV file
To process a CSV file:
Process the data in myfile.csv
The skill will:
- Read the CSV file
- Clean the data (remove nulls, fix formats)
- Generate statistics
- Output a summary report
Custom Processing
For custom processing options:
Process sales.csv and group by region
Scripts
scripts/process_csv.py - Main data processing script
- Reads CSV files
- Applies transformations
- Generates output
scripts/fetch_data.py - API data fetcher (demonstrates uv dependencies)
- Fetches data from APIs using requests
- Beautiful output formatting with rich
- Auto-installs dependencies via uv inline metadata (PEP 723)
- No manual pip install needed!
scripts/validate.py - Data validation script
- Checks data quality
- Reports issues
Configuration
The scripts use these environment variables:
OUTPUT_DIR- Where to save processed files (optional)MAX_ROWS- Maximum rows to process (optional)
Set them using:
Set OUTPUT_DIR to /path/to/output
Reference Documentation
For detailed information:
- Data Formats - Supported data formats and schemas
- Examples - Common usage examples
Troubleshooting
"File not found" error:
- Ensure the CSV file exists
- Provide the full path to the file
"Invalid data" error:
- Check the CSV format matches expected schema
- See Data Formats for requirements
What ships with it
3 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.
- 4d ago First seen · 83 lines · 39 tokens per session scan A 599cb5e51901
example-data-processor is a skill published in the GitHub repository fkesheh/skill-mcp (30 stars, last pushed 9mo ago), licensed MIT. It adds 39 tokens to every session and 442 once invoked, about $0.0002 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.
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