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 StamKavid/last-ds-mile --skill ds-exploregit clone --depth 1 https://github.com/StamKavid/last-ds-mileWrote 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/stamkavid/last-ds-mile/ds-explore)<a href="https://agentmods.dev/skills/stamkavid/last-ds-mile/ds-explore"><img src="https://agentmods.dev/badge/skills/stamkavid/last-ds-mile/ds-explore/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/stamkavid/last-ds-mile/ds-explore"><img src="https://agentmods.dev/badge/skills/stamkavid/last-ds-mile/ds-explore.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00071 | $0.00701 |
| Opus 5 | $0.00036 | $0.00351 |
| Sonnet 5 | $0.00014 | $0.00140 |
| Haiku 4.5 | $0.00007 | $0.00070 |
Grade A, and why
ds-explore 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 9d 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ds-explore — Exploratory Data Analysis
Overview
Systematically sweeps a profiled dataset for patterns relevant to the target, logging a hypothesis for each finding instead of plotting aimlessly.
When to Use
- After
/ds-datahas produced a data dictionary and integrity findings. - Before feature engineering begins.
- NOT for: acting on findings by transforming features (that's
/ds-prep) — this stage observes and hypothesizes, it doesn't change the data.
Core Process
- Univariate pass: distribution of each key variable (numeric: histogram and summary stats; categorical: value counts).
- Bivariate pass: relationship of each candidate feature to the target, and obvious collinearity between candidate features.
- Log a hypothesis for every pattern noticed ("higher X seems associated with target=1, hypothesis: because ...") rather than producing plots with no question behind them.
- Flag anything that looks too predictive at this stage (see
ds-method's Red Flags) as a leakage candidate for/ds-prepto resolve. - Export the 1-3 plots that actually back the strongest findings from steps 1-2 (not
every plot considered) to
.last-ds-mile/figures/02-<name>.png— perdata-viz-standards, state the hypothesis before building each one. Typically: the target's distribution (and its transform, if skewed) and the single strongest bivariate relationship found. This is the "critical/important only" bar, not exhaustive EDA output. - Write to
.last-ds-mile/stages/02-explore.md: key findings, the hypothesis log, leakage candidates flagged for follow-up, and a reference to each exported figure next to the finding it illustrates.
Common Rationalizations
| Rationalization | Reality |
|---|---|
| "I'll just make a bunch of plots and see what jumps out" | Aimless plotting produces cherry-picked patterns. Every plot should test a stated hypothesis. |
See ds-method for the shared Rationalizations that apply to every stage.
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.
- 9d ago First seen · 64 lines · 71 tokens per session scan A a23eb888f4ba
ds-explore is a skill published in the GitHub repository StamKavid/last-ds-mile (3 stars, last pushed 1mo ago), licensed MIT. It adds 71 tokens to every session and 701 once invoked, about $0.0004 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 2026-08-31.
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