review-memory

review-memory is a skill for Claude Code, Codex from HuntsDesk/ve-kit. It costs 44 tokens per session (1,318 once invoked), scanned A, original, MIT.

A project-memory audit that checks the files an AI coding assistant saves between conversations.

In plain words
What is it for?
Use it to review the memory index and memory files, check their details and freshness, and identify recurring patterns that were not saved.
Why use it?
It finds outdated, duplicated, misplaced, or missing memories before they confuse future work. It records each problem as a task on a project board.

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/huntsdesk/ve-kit/review-memory
Any agent
npx skills add HuntsDesk/ve-kit --skill review-memory
Clone the repo
git clone --depth 1 https://github.com/HuntsDesk/ve-kit

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 review-memory

README.md
[![agentmods](https://agentmods.dev/badge/skills/huntsdesk/ve-kit/review-memory.svg)](https://agentmods.dev/skills/huntsdesk/ve-kit/review-memory)
Your own site
<a href="https://agentmods.dev/skills/huntsdesk/ve-kit/review-memory"><img src="https://agentmods.dev/badge/skills/huntsdesk/ve-kit/review-memory.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,318 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 5.1 $0.00044 $0.01318
Opus 5 $0.00022 $0.00659
Sonnet 5 $0.00009 $0.00264
Haiku 4.5 $0.00004 $0.00132

Measured 5d ago against content hash 7d5379f88e51, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

review-memory 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 5d 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/review-memory/SKILL.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Memory Review Protocol

Reviews the auto-memory system that persists across Claude Code conversations. Scope for this project:

~/.claude/projects/<your-project-slug>/memory/
├── MEMORY.md          (index, always loaded into context — lines after 200 are truncated)
└── *.md               (individual memory files, loaded on demand)

Part of the review-* skill family. Cites ../_shared/review-checklist.md.

Owner: docs-manager agent.

When to invoke

  • MEMORY.md approaching 200 lines (truncation risk)
  • After multiple sessions create new memories without pruning
  • Quarterly audit
  • When memories start feeling stale or duplicated

Output contract

Board tasks only. Lean summary to main agent.


Step 1 — Inventory

  • Read ~/.claude/projects/<your-project-slug>/memory/MEMORY.md — record line count, every - [Title](file.md) — hook entry
  • Glob every *.md in that directory (excluding MEMORY.md)
  • For each memory file, parse frontmatter: name, description, type (user/feedback/project/reference)
  • Record body length and last-modified time

Step 2 — Index integrity

For MEMORY.md:

  • Line count < 200 (lines after 200 are truncated out of context — critical)
  • Every *.md memory file referenced? (orphaned memory files are dead)
  • Every - [link](file.md) resolves?
  • Every entry has a one-line hook < 150 chars?
  • No duplicate entries?
  • Organized semantically (not chronologically)?

Step 3 — Frontmatter validation

For each memory file:

Issue Severity
Missing frontmatter high
type missing or invalid (must be user/feedback/project/reference) high
name missing medium
description missing or generic medium
Body doesn't match declared type high

Type correctness

  • user — user role, preferences, responsibilities, knowledge
  • feedback — guidance given by user, with Why: + How to apply:
  • project — ongoing work, goals, initiatives, with Why: + How to apply:
  • reference — pointers to external systems

Read the full file on GitHub · 158 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. 5d ago First seen · 158 lines · 44 tokens per session scan A 7d5379f88e51

Subscribe to this mod's changes

review-memory is a skill published in the GitHub repository HuntsDesk/ve-kit (2 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 1,318 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

memory

Search conversation history and understand Dream-managed profile and memory files.

HKUDS/nanobot · 14 tokens

context-fundamentals

This skill should be used when the user asks to "understand context", "explain context windows", "design agent architecture", "debug context issues", "optimize context usage", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of…

foryourhealth111-pixel/Vibe-Skills · 69 tokens

knowledge-steward

AI工作经验知识库管理。适用于用户明确要求'保存到Obsidian'、'记录这个'、'save this insight'、'memo this'、'capture this'等知识沉淀场景。将对话中的提示词、模式、问题修复、想法和效率优化保存到Obsidian知识库,并自动同步到GitHub。.

foryourhealth111-pixel/Vibe-Skills · 85 tokens

digital-brain

This skill should be used when the user asks to "write a post", "check my voice", "look up contact", "prepare for meeting", "weekly review", "track goals", or mentions personal brand, content creation, network management, or voice consistency.

foryourhealth111-pixel/Vibe-Skills · 57 tokens

hive.note-taking

Maintain a free-form scratchpad of decisions, extracted values, and open questions so context pruning doesn't lose anything you still need.

aden-hive/hive · 30 tokens

hive.context-preservation

Proactively extract critical values from tool results into working notes before automatic context pruning destroys them.

aden-hive/hive · 24 tokens