wicked-garden-mem-ingest

wicked-garden-mem-ingest is a skill for Claude Code from mikeparcewski/wicked-garden. It costs 129 tokens per session (1,441 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: allowed-tools in frontmatter. Also seen: model in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the wicked-garden plugin — 148 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

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.

Claude Code
/plugin marketplace add mikeparcewski/wicked-garden
Claude Code
/plugin install wicked-garden

Made for: Claude Code.

Or install wicked-garden, the plugin that ships this one along with the rest of its 148 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
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Your own site
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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 1,441 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 $0.01441
Opus 5 $0.00064 $0.00720
Sonnet 5 $0.00026 $0.00288
Haiku 4.5 $0.00013 $0.00144

Measured 11d ago against content hash d56c0c0eee33, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, 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 11d 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 · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mem Ingest Worker

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.

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):

sh "${CLAUDE_PLUGIN_ROOT}/scripts/_python.sh" \
  "${CLAUDE_PLUGIN_ROOT}/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 alwayssource 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": ...}).

Step 1 — assess the source

  • Single file → Step 2 (text) or Step 3 (binary) by extension.
  • Directory → Step 4 (batch).
  • Health check when in doubt: ... estate_memory.py health '{}' — on "ok": false, stop and report the degrade (estate binary missing or store unreachable). Do not fake success.

Text extensions: .md .txt .csv .html .htm .json .py .js .jsx .ts .tsx .sh .rs .go .java .yaml .yml .toml. Binary (vision) extensions: .pdf .docx .pptx .xlsx .png .jpg .jpeg .gif .webp.

Read the full file on GitHub · 132 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. 11d 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 today), licensed MIT. It adds 129 tokens to every session and 1,441 once invoked, about $0.0006 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.