Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add mikeparcewski/wicked-garden/plugin install wicked-gardenWrote 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/mikeparcewski/wicked-garden/data)<a href="https://agentmods.dev/skills/mikeparcewski/wicked-garden/data"><img src="https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/data.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 | $0.00260 | $0.01726 |
| Opus 5 | $0.00130 | $0.00863 |
| Sonnet 5 | $0.00052 | $0.00345 |
| Haiku 4.5 | $0.00026 | $0.00173 |
Grade A, and why
wicked-garden-data 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.
How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
wicked-garden:data — data engineering, analysis, and ML
Every sub-action runs inline (no dispatch): parse the arguments, pre-read the data where noted, load the Tier-3 rubric from refs/, apply it, and emit structured markdown with tables and prioritized findings. For delegated or parallel worker execution, dispatch the wicked-garden-data-engineer fork skill instead.
Routing
| Sub-action | Use for | Rubric |
|---|---|---|
analyze <file-path> [--focus stats|quality|warehouse|ml] [--context <file>] [--refresh] [--scenarios] |
one-off exploration of a CSV/Excel/data file | refs/analyze.md |
profile <path> |
dataset structure + quality profile | refs/data.md |
validate --schema <schema> --data <path> |
schema validation | refs/data.md |
quality <path> |
quality report (completeness, uniqueness, validity) | refs/data.md |
ml review <path> |
ML model review | refs/ml.md |
ml pipeline --type <classification|regression|ranking> |
training-pipeline design | refs/ml.md |
pipeline design --source <src> --target <tgt> [--frequency <freq>] |
ETL pipeline design | refs/pipeline.md |
pipeline review <path> |
ETL pipeline review | refs/pipeline.md |
ontology <file-path> |
ontology recommendation for a dataset | inline (§ Ontology) |
Detailed templates and examples: refs/analysis-templates.md, refs/ml-templates.md, refs/pipeline-templates.md, refs/data-examples.md.
Analyze — interactive data analysis
Interactive analysis on a CSV/Excel/data file. Use for one-off data
exploration. NOT for schema-level checks (use profile / validate /
quality) or pipeline review (use pipeline review).
- Parse
<file-path>,--focus(stats|quality|warehouse|ml, defaultstats),--context,--refresh,--scenarios. - Read first rows of the file to capture column names / types / nulls / sample.
Read("${CLAUDE_PLUGIN_ROOT}/skills/data/refs/analyze.md")— the EDA rubric, quality/warehouse/ml modes, insight pattern, and output format.- Apply the rubric directly for the chosen
--focusmode and emit the analysis.
What ships with it
8 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.
- 6d ago First seen · 141 lines · 260 tokens per session scan A f33feb9d37d2
wicked-garden-data is a skill published in the GitHub repository mikeparcewski/wicked-garden (9 stars, last pushed yesterday), licensed MIT. It adds 260 tokens to every session and 1,726 once invoked, about $0.0013 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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