journal-optimizer

journal-optimizer is a skill for Claude Code, Codex from neverinfamous/memory-journal-mcp. It costs 101 tokens per session (2,111 once invoked), scanned A, original, MIT.

A guided workflow for cleaning a memory-journal-mcp database, which stores searchable notes and their relationships. It identifies entries that appear less useful and soft-deletes them so they can still be recovered.

In plain words
What is it for?
Use it to inspect journal statistics, find low-value or isolated entries, preview cleanup, create backups, soft-delete entries, and restore them if needed.
Why use it?
It makes database cleanup safer by previewing candidates, requiring backups, and avoiding permanent deletion during the first pass.

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/neverinfamous/memory-journal-mcp/journal-optimizer
Any agent
npx skills add neverinfamous/memory-journal-mcp --skill journal-optimizer
Clone the repo
git clone --depth 1 https://github.com/neverinfamous/memory-journal-mcp

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 journal-optimizer

README.md
[![agentmods](https://agentmods.dev/badge/skills/neverinfamous/memory-journal-mcp/journal-optimizer.svg)](https://agentmods.dev/skills/neverinfamous/memory-journal-mcp/journal-optimizer)
Your own site
<a href="https://agentmods.dev/skills/neverinfamous/memory-journal-mcp/journal-optimizer"><img src="https://agentmods.dev/badge/skills/neverinfamous/memory-journal-mcp/journal-optimizer.svg" alt="Measured on agentmods" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,111 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 $0.00101 $0.02111
Opus 5 $0.00051 $0.01056
Sonnet 5 $0.00020 $0.00422
Haiku 4.5 $0.00010 $0.00211

Measured 4d ago against content hash 7681cf25ff1f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

journal-optimizer 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.

skills/journal-optimizer/SKILL.md · 207 lines

How it starts

The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Journal Optimizer

Guided workflows for intelligently pruning, cleaning, and optimizing a memory-journal-mcp database. Every operation uses the soft-delete system as a safe first pass — entries remain recoverable via restore_backup until explicitly purged.

Prerequisites

The following tool groups must be enabled:

Group Required Tools Purpose
admin delete_entry, update_entry Soft-delete entries
analytics get_statistics Importance scores, graph stats
search search_entries, search_by_date_range, semantic_search Find candidates
backup backup_journal, list_backups, restore_backup Safety net
codemode mj_execute_code Batch operations
relationships visualize_relationships Orphan detection

If any required group is missing, inform the user and suggest adding it via --tool-filter or MEMORY_JOURNAL_MCP_TOOL_FILTER.

Importance Score Reference

The server computes importance scores (0.0–1.0) for every entry using a weighted formula. Understanding this formula is essential for making intelligent pruning decisions.

Formula

Component Weight Max Score How It's Earned
Significance 0.30 0.30 Entry has a significance_type (milestone, decision, release, etc.)
Relationships 0.35 0.35 Entry has ≥5 relationships (linear scale: 1 rel = 0.07)
Causal 0.20 0.20 Entry has ≥3 causal relationships (blocked_by, resolved, caused)
Recency 0.15 0.15 Created within the last 90 days (linear decay to 0 at day 90)

Read the full file on GitHub · 207 lines

Files

What ships with it

1 file 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 · 207 lines · 101 tokens per session scan A 7681cf25ff1f

Subscribe to this mod's changes

journal-optimizer is a skill published in the GitHub repository neverinfamous/memory-journal-mcp (20 stars, last pushed 1mo ago), licensed MIT. It adds 101 tokens to every session and 2,111 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 2026-08-30.

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