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 ihatesea69/kiro-kit --skill pandas-analysisgit clone --depth 1 https://github.com/ihatesea69/kiro-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/ihatesea69/kiro-kit/pandas-analysis)<a href="https://agentmods.dev/skills/ihatesea69/kiro-kit/pandas-analysis"><img src="https://agentmods.dev/badge/skills/ihatesea69/kiro-kit/pandas-analysis/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.
<a href="https://agentmods.dev/skills/ihatesea69/kiro-kit/pandas-analysis"><img src="https://agentmods.dev/badge/skills/ihatesea69/kiro-kit/pandas-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00028 | $0.00296 |
| Opus 5 | $0.00014 | $0.00148 |
| Sonnet 5 | $0.00006 | $0.00059 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
pandas-analysis 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 6d 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
Pandas Analysis
Activate this skill when working with tabular data using pandas.
When to Use
- Cleaning and preprocessing datasets
- Performing groupby aggregations
- Merging and joining multiple DataFrames
- Time series manipulation
- Exploratory data analysis
Patterns
import pandas as pd
# Method chaining for clean pipelines
result = (
df.pipe(clean_column_names)
.query("revenue > 0")
.assign(margin=lambda x: x.revenue - x.cost)
.groupby("category")
.agg(total_margin=("margin", "sum"), count=("margin", "size"))
.sort_values("total_margin", ascending=False)
)
Performance Tips
- Use
categorydtype for low-cardinality strings - Prefer vectorized operations over
apply() - Use
read_csv(usecols=...)to load only needed columns - Consider
pyarrowbackend for large datasets - Use
query()over boolean indexing for readability
Rules
- Always inspect data shape and dtypes first
- Handle missing values explicitly (never ignore NaN)
- Validate assumptions about uniqueness and cardinality
- Use
.copy()to avoid SettingWithCopyWarning - Document data transformations with comments
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.
- 6d ago First seen · 50 lines · 28 tokens per session scan A 4e67cf203b40
pandas-analysis is a skill published in the GitHub repository ihatesea69/kiro-kit (18 stars, last pushed 21d ago), licensed MIT. It adds 28 tokens to every session and 296 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 2026-09-03.
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