wicked-garden-mem-ingest

wicked-garden-mem-ingest is a skill for Claude Code from mikeparcewski/wicked-garden. It costs 129 tokens per session (1,551 once invoked), scanned A, original, MIT.

A file-ingestion worker that reads text and binary documents, divides their contents into cited sections, and stores them in a knowledge base.

In plain words
What is it for?
Use it to ingest Markdown, text, CSV, HTML, JSON, code, PDFs, Word documents, presentations, spreadsheets, and common image files.
Why use it?
It prepares source material so later searches and answers can find relevant passages with citations.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the wicked-garden plugin — 145 skills, 5 commands, 1 agent, 13 hooks shipped together

Good fit Use it to ingest Markdown, text, CSV, HTML, JSON, code, PDFs, Word documents, presentations, spreadsheets, and common image files.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mikeparcewski/wicked-garden/mem-ingest
Install

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.

Any agent
npx skills add mikeparcewski/wicked-garden --skill mem-ingest
Clone the repo
git clone --depth 1 https://github.com/mikeparcewski/wicked-garden

Made for: Claude Code.

Or install wicked-garden, the plugin that ships this one along with the rest of its 145 skills, 5 commands, 1 agent, 13 hooks.

Wrote 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.

agentmods badge for wicked-garden-mem-ingest

README.md
[![agentmods](https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/mem-ingest/github.svg)](https://agentmods.dev/skills/mikeparcewski/wicked-garden/mem-ingest)
Your own site
<a href="https://agentmods.dev/skills/mikeparcewski/wicked-garden/mem-ingest"><img src="https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/mem-ingest/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.

agentmods 80×15 button for wicked-garden-mem-ingest

Your own site · 80×15
<a href="https://agentmods.dev/skills/mikeparcewski/wicked-garden/mem-ingest"><img src="https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/mem-ingest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 129 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,551 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00129 $0.01551
Opus 5.5 $0.00052 $0.00620
Sonnet 5.5 $0.00026 $0.00310
Haiku 4.5 $0.00013 $0.00155

Measured 1mo ago against content hash e523aa299b2b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

wicked-garden-mem-ingest 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.

skills/mem-ingest/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mem Ingest Worker

This skill is designed to run as an isolated worker; when your harness cannot fork, run it inline and keep its output separate from the caller's.

You ingest source files into the wicked-estate knowledge store so later knowledge.recall / cited-answer calls can return them with source citations. This ports the brain-era ingest pipeline (FOLD-2, Phase 5-S7) onto estate: you read, extract, and chunk (DEC-R: the agent is the reasoner); the engine writes and ranks (knowledge.ingest / knowledge.write — deterministic, never calls a model). Estate's embedded method card skill://knowledge-ingest/SKILL.md is the chunking doctrine this pipeline follows.

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.

Parameters

  • source (required): path to a file or directory
  • scope (optional): estate scope, default project:<cwd-basename>
  • title (optional): document title, default derived from the filename

The write seam

All writes go through the mem backend (stdio shim → estate MCP):

wicked-garden run \
  scripts/mem/estate_memory.py ingest -

with a JSON body on stdin (chunks are long — never inline them in argv):

{"title": "<doc title>", "chunks": ["<chunk 1>", "<chunk 2>"],
 "scope": "<scope>", "source": "<absolute-or-repo-relative source path>"}

Rules that make chunks worth storing:

  • Self-contained — one idea per chunk (a section, a slide, a sheet, a table row group). Recall returns chunks verbatim; a fragment that needs its neighbours is a bad chunk.
  • Source provenance always — source is what a cited answer cites. An uncited chunk cannot back wicked-garden-search answer. Never omit it.
  • For a single standalone fact, use the write action instead ({"content": ..., "class": "concept", "source": ...}).

Read the full file on GitHub · 135 lines

Changes

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.

  1. 1mo ago Changed · -4 lines e523aa299b2b
  2. 1mo ago Changed · +7 lines a3256416d39c
  3. 1mo ago First seen · 132 lines · 129 tokens per session scan A d56c0c0eee33

Subscribe to this mod's changes

wicked-garden-mem-ingest is a skill published in the GitHub repository mikeparcewski/wicked-garden (9 stars, last pushed yesterday), licensed MIT. It adds 129 tokens to every session and 1,551 once invoked, about $0.0005 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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