memorizer

memorizer is a skill for Claude Code, Codex from luutru433-coder/local-knowledge-suite. It costs 90 tokens per session (720 once invoked), scanned A, original, MIT.

A project-specific memory system for recalling, saving, correcting, organizing, checking, exporting, and restoring durable information.

In plain words
What is it for?
Use it to remember project context, capture one-off decisions, inspect stored memories, check memory health, and recover or export the project's knowledge.
Why use it?
It keeps useful project preferences, decisions, facts, and conventions available across work while separating them from other projects.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/luutru433-coder/local-knowledge-suite/memorizer
Any agent
npx skills add luutru433-coder/local-knowledge-suite --skill memorizer
Clone the repo
git clone --depth 1 https://github.com/luutru433-coder/local-knowledge-suite

Made for: Claude Code, Codex.

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 memorizer

README.md
[![agentmods](https://agentmods.dev/badge/skills/luutru433-coder/local-knowledge-suite/memorizer.svg)](https://agentmods.dev/skills/luutru433-coder/local-knowledge-suite/memorizer)
Your own site
<a href="https://agentmods.dev/skills/luutru433-coder/local-knowledge-suite/memorizer"><img src="https://agentmods.dev/badge/skills/luutru433-coder/local-knowledge-suite/memorizer.svg" alt="Measured on agentmods" height="20"></a>
Per session 90 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 720 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00090 $0.00720
Opus 5 $0.00045 $0.00360
Sonnet 5 $0.00018 $0.00144
Haiku 4.5 $0.00009 $0.00072

Measured 4d ago against content hash 5b15c0664251, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

memorizer 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 4d 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.

plugins/local-knowledge-suite/skills/memorizer/SKILL.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Memorizer

Use the plugin-owned runtime with the absolute project root. Require schema 2 and a Memory-enabled profile (memory-only or combined). Never use a company repository or another project's vault.

Read references/memory-policy.md before capture, correction, or export. Read references/vault-format.md before repair, migration, snapshot inspection, or integration work.

Prefer MCP

Use recall_context with only Memory enabled for normal search and capture_memory for one durable signal. Follow capture with knowledge_status; require zero pending events.

Use the pinned CLI for recovery:

& "$PluginRoot\scripts\Invoke-LocalKnowledge.ps1" `
  -Tool memorizer -Root $ProjectRoot `
  -ToolArguments @("status")

The launcher never imports code from the target project.

Recall

  1. Check status after an interrupted capture.
  2. Distill pending events. Rebuild only when derived state is stale.
  3. Search with a focused query and small limit.
  4. Use supporting excerpts and surface contradictions.
  5. Distinguish remembered project context from verified company facts.
  6. Use show MEMORY_ID --no-touch for inspection; count a revisit only when the Memory informs the work.

Capture or correct

  1. Search for equivalent and conflicting active Memory.
  2. Capture one user-grounded durable signal with kind, title, text, and a stable memory_key.
  3. Remove every credential value. A secret event may record only a safe indicator, never the secret.
  4. For correction, use exact active IDs in supersedes; never guess.
  5. Use a stable event ID for retries.
  6. Require distilled: true, an accepted or matched ID, and zero pending events before reporting success.

Supported kinds: correction, preference, habit, decision, commitment, entity-fact, project-knowledge, and safe-indicator secret.

Maintain

  • Preserve history by superseding rather than erasing.
  • Use pin, link, backlinks, and graph for intentional curation.
  • After supported Markdown repair, run rebuild and validate.
  • Preserve unknown frontmatter and user-authored bodies.
  • Never edit SQLite or delete .write.lock as a repair shortcut.

Read the full file on GitHub · 77 lines

Files

What ships with it

3 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.

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. 4d ago First seen · 77 lines · 90 tokens per session scan A 5b15c0664251

Subscribe to this mod's changes

memorizer is a skill published in the GitHub repository luutru433-coder/local-knowledge-suite (0 stars, last pushed 4d ago), licensed MIT. It adds 90 tokens to every session and 720 once invoked, about $0.0005 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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