review-memory

review-memory is a skill for Claude Code from HuntsDesk/ve-kit. It costs 58 tokens per session (1,338 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It finds outdated, duplicated, misplaced, or missing memories before they confuse future work.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 Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions Claude Code.

Good fit Use it to review the memory index and memory files, check their details and freshness, and identify recurring patterns that were not saved.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/huntsdesk/ve-kit/review-memory
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 HuntsDesk/ve-kit --skill review-memory
Clone the repo
git clone --depth 1 https://github.com/HuntsDesk/ve-kit

Made for: Claude Code.

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/github.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/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 review-memory

Your own site · 80×15
<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="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,338 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 $0.00058 $0.01338
Opus 5.5 $0.00023 $0.00535
Sonnet 5.5 $0.00012 $0.00268
Haiku 4.5 $0.00006 $0.00134

Measured 10d ago against content hash 17b2186ec308, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 10d 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 · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 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 · 159 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. 10d ago Changed · +1 lines 17b2186ec308
  2. 1mo ago Changed · +14 tokens per session 150bdea63582
  3. 1mo 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 (3 stars, last pushed 10d ago), licensed MIT. It adds 58 tokens to every session and 1,338 once invoked, about $0.0002 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.