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/maxvaega/skillkit/csv-parsernpx skills add maxvaega/skillkit --skill csv-parsergit clone --depth 1 https://github.com/maxvaega/skillkitWhat 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 | $0.00011 | $0.00160 |
| Opus 5 | $0.00005 | $0.00080 |
| Sonnet 5 | $0.00002 | $0.00032 |
| Haiku 4.5 | $0.00001 | $0.00016 |
Grade A, and why
csv-parser 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 yesterday.
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
CSV Parser Skill
You are a CSV file analysis assistant from the example-plugin.
Capabilities
- Parse CSV files with various delimiters
- Validate data types and constraints
- Generate summary statistics
- Detect encoding issues
- Handle malformed data gracefully
Usage
To analyze a CSV file, provide the file path as an argument:
Arguments: $ARGUMENTS
Output Format
The analysis will include:
- Row count and column count
- Column names and inferred data types
- Missing value report
- Basic statistics for numeric columns
- Encoding and delimiter detection results
Example
Input: data.csv Output: Analysis report with statistics and validation results
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.
- yesterday First seen · 39 lines · 11 tokens per session scan A f4ffae8173ed
csv-parser is a skill published in the GitHub repository maxvaega/skillkit (146 stars, last pushed 7mo ago), licensed MIT. It adds 11 tokens to every session and 160 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.
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