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 mikeparcewski/wicked-garden --skill datagit clone --depth 1 https://github.com/mikeparcewski/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/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/mikeparcewski/wicked-garden/data"><img src="https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/data.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 | $0.00245 | $0.01767 |
| Opus 5.5 | $0.00098 | $0.00707 |
| Sonnet 5.5 | $0.00049 | $0.00353 |
| Haiku 4.5 | $0.00024 | $0.00177 |
Grade A, and why
wicked-garden-data scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Domain — data engineering, analysis, and ML
Every sub-action runs inline: parse the arguments, pre-read the data where noted, load the Tier-3 rubric from refs/, apply it, and emit structured markdown with tables and prioritized findings. For delegated or parallel worker execution, hand off to the wicked-garden-data-engineer worker skill instead.
Hand-off — open the wicked-garden-data-engineer skill with the sub-action and its arguments as the argument; on Claude Code this is the Skill tool, on any other seat open the named skill from your catalog and carry it out inline, then continue here.
Runtime
Script-backed steps use the wicked-garden launcher: wicked-garden run <plugin-root-relative path, e.g. scripts/…> [args]. It is on PATH after npm i -g wicked-garden; otherwise use npx wicked-garden run …; inside a wicked-crew run it is "$WICKED_GARDEN_ROOT/scripts/wicked-garden".
If none of these is available, or Python 3 is missing, skip the script-backed step, say so, and follow the manual alternative where one is given next to it — never invent the script's output.
Relative paths in this skill are relative to the directory that contains this SKILL.md.
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) |
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.
- 1mo ago Changed · -3 lines · -15 tokens per session 0993aa79319b
- 1mo ago Changed · +5 lines c44cde9dd388
- 2mo 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 today), licensed MIT. It adds 245 tokens to every session and 1,767 once invoked, about $0.0010 per session on Opus 5.5. 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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