New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Memory Review

by hoangsonww in hoangsonww/Claude-Code-Agent-Monitor

Review the file-based memory store via the Agent Monitor Config Explorer API: the user and project CLAUDE.md plus per-project auto-memory files under ~/.claude/projects/<slug/memory/.md.

MITAuto-check passedAgent Workflows

Install Memory Review

skills CLI
$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill memory-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hoangsonww/Claude-Code-Agent-Monitor memory-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ccam-config/skills/memory-review .claude/skills/memory-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
memory-review
GitHub stars
1.1k
Token cost
~970 tokens
SKILL.md length
410 words
Files
2
Skills in repo
78
Repo updated
First seen
Licence
MIT

At a glance

Review the file-based memory store via the Agent Monitor Config Explorer API: the user and project CLAUDE.md plus per-project auto-memory files under ~/.claude/projects/<slug/memory/.md.

  • Works in 4 steps: CLAUDE.md overview → Per-project auto-memory, grouped → Index vs per-fact consistency → …
  • Curating agent memory
  • SKILL.md covers Input, Data Sources, Report Sections and Editing memory (mutations), plus 1 more section
  • Calls curl and npm

What it does

Memory Review is an agent skill from hoangsonww/Claude-Code-Agent-Monitor. Review the file-based memory store via the Agent Monitor Config Explorer API: the user and project CLAUDE.md plus per-project auto-memory files under ~/.claude/projects/<slug/memory/.md. Groups by project, shows the index (MEMORY.md) vs per-fact files, and flags stale or oversized facts. Reads /api/cc-config/memory and /api/cc-config/file?path=. Use when curating agent memory.

Its SKILL.md is about 970 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Agent Workflows, covering Agent instruction files and Agent memory. The repository describes itself as: 🚀 A real-time monitoring dashboard for Claude Code & Codex, built with SQLite3, Node.js, Express, React, Vite, TailwindCSS, & WebSockets. It tracks sessions, agent activity… The licence is MIT.

When your agent uses it

  • Curating agent memory
  • Tasks that involve Agent instruction files
  • Tasks that involve Agent memory

Example prompts

  • “/memory-review”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. CLAUDE.md overview
  2. Per-project auto-memory, grouped
  3. Index vs per-fact consistency
  4. Stale & oversized facts

What it can do on your machine

Read from SKILL.md and the folder at commit a06db03. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • npm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use curl and npm, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Memory Review loads about 970 tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 410 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~970

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hoangsonww/Claude-Code-Agent-Monitor at commit a06db03, republished under its MIT licence (© hoangsonww). 410 words, ~970 tokens.

Download SKILL.mdSave it as .claude/skills/memory-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
memory-review
description
Review the file-based memory store via the Agent Monitor Config Explorer API: the user and project CLAUDE.md plus per-project auto-memory files under ~/.claude/projects/<slug>/memory/*.md. Groups by project, shows the index (MEMORY.md) vs per-fact files, and flags stale or oversized facts. Reads /api/cc-config/memory and /api/cc-config/file?path=. Use when curating agent memory.

Memory Review

Curate the user's file-based agent memory: the long-form CLAUDE.md files plus the per-project auto-memory store — read through the Agent Monitor dashboard at http://localhost:4820.

Input

The user provides: $ARGUMENTS

This may be:

  • empty — review the whole memory store across every project (default).
  • a project slug (e.g. -Users-david-WebstormProjects-foo) — restrict the review to that one project's auto-memory dir.
  • "claude-md" — review only the user/project CLAUDE.md files.

Data Sources

EndpointReturns
GET /api/cc-config/memory{ items:[…] }. CLAUDE.md entries: { scope:"user"|"project", file, size, mtime, preview }. Auto-memory entries: { scope:"auto-memory", project, name, isIndex, file, size, mtime, frontmatter, preview }
GET /api/cc-config/file?path=<abs>full body of one file: { ok, file, size, mtime, truncated, text } — use to read a fact in full before recommending an edit

Report Sections

1. CLAUDE.md overview

List the user and project CLAUDE.md entries with scope, size (KB), and last-modified (mtime). Note any that are truncated (over 256 KB) — these are oversized and worth splitting into auto-memory facts.

2. Per-project auto-memory, grouped

Group scope: "auto-memory" items by project. For each project show the index (isIndex: true, typically MEMORY.md) first, then the per-fact files. For each fact show name, frontmatter.description if present, size, and mtime.

3. Index vs per-fact consistency

Within each project, compare the index (MEMORY.md) against the per-fact files present. Flag facts that exist on disk but are not referenced by the index, and index entries that point at files which no longer appear in /memory.

Show full SKILL.md (182 more words)Show less
4. Stale & oversized facts

Flag facts whose mtime is old relative to the rest of the store (stale — candidates to confirm or retire) and facts whose size is large (oversized — candidates to split into smaller, single-fact files). When the user wants to act on one, fetch its full body with GET /api/cc-config/file?path=<file> before recommending changes.

Editing memory (mutations)

Auto-memory files are editable through the Config Explorer. To create/overwrite a fact:

bash
curl -s -X PUT http://localhost:4820/api/cc-config/file \
  -H 'Content-Type: application/json' \
  -d '{"scope":"auto-memory","type":"auto-memory","project":"<slug>","name":"<fact>.md","content":"..."}'

To delete a fact:

bash
curl -s -X DELETE http://localhost:4820/api/cc-config/file \
  -H 'Content-Type: application/json' \
  -d '{"scope":"auto-memory","type":"auto-memory","project":"<slug>","name":"<fact>.md"}'

A timestamped backup is written automatically before any edit or delete. The user/project CLAUDE.md uses type:"memory" with a scope and no name. Never edit or delete a memory file without explicit per-action confirmation from the user — default to read-only review.

Output

  • Section 1 as a short table (Scope | File | Size | Modified | Truncated).
  • Section 2 grouped by project, index first, then facts.
  • Sizes in KB; timestamps as relative age; use ▲ for oversized / stale flags.
  • Cite only fields the API returned — never invent facts, names, or sizes.
  • If the dashboard is unreachable at http://localhost:4820, say so and tell the user to start it with npm start from the repo root.

© hoangsonww, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in plugins/ccam-config/skills/memory-review of hoangsonww/Claude-Code-Agent-Monitor.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit a06db03

Compare with similar skills

Memory Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Memory Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Memory Review this skillhoangsonww/Claude-Code-Agent-Monitor1.1k—~970Automated safety check: PassMIT
Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills21k—~1.9kAutomated safety check: PassMIT
SkillOpt Sleep Cyclemicrosoft/SkillOpt18k—~2.3kAutomated safety check: PassMIT
CLAUDE.md Improveranthropics/claude-plugins-official38k5 repos~1.5kAutomated safety check: PassApache-2.0
Harness Engineering10xChengTu/harness-engineering1021 repos~1kAutomated safety check: PassNone
Codebase Analyzerseverity1/claude-code-auto-memory159—~1.5kAutomated safety check: PassMIT

Similar skills

  • Neat-Freak Knowledge Closeout

    KKKKhazix/khazix-skills

    Brings project docs, agent rule files, authorized memory and leftover workspace files back in line with what the code and runtime actually do at the end of a work session.

    21k GitHub stars~1.9k tokensUpdated 8 days ago
    Agent WorkflowsAuto-check passed

  • SkillOpt Sleep Cycle

    microsoft/SkillOpt

    Official

    Runs an on-demand or nightly sleep cycle that reviews past Claude Code sessions and proposes validated updates to CLAUDE.md and skills.

    18k GitHub stars~2.3k tokensUpdated 3 days ago
    Agent WorkflowsAuto-check passed

  • CLAUDE.md Improver

    anthropics/claude-plugins-official

    Official

    Finds every CLAUDE.md file in a repository, scores each against quality criteria, shows a report, then makes targeted updates after you approve.

    38k GitHub starsUsed in 5 repos~1.5k tokens
    Agent WorkflowsAuto-check passed

  • Harness Engineering

    10xChengTu/harness-engineering

    Set up and improve harness engineering (AGENTS.md, docs/, lint rules, eval systems, project-level prompt engineering) for AI-agent-friendly codebases.

    102 GitHub starsUsed in 1 repo~1k tokens
    Agent WorkflowsAuto-check passed

  • Codebase Analyzer

    severity1/claude-code-auto-memory

    This skill should be used when the user asks to "initialize auto-memory", "create CLAUDE.md", "set up project memory", or runs the /auto-memory:init command.

    159 GitHub stars~1.5k tokensUpdated 5 mo ago
    Agent WorkflowsAuto-check passed

  • Self Improving For Codex

    GODGOD126/self-improving-for-codex

    Build or maintain a Codex-native self-improving memory loop using global AGENTS.md, a persistent memories directory, and optional nightly refinement automation.

    130 GitHub stars~1.2k tokensUpdated 1 mo ago
    Agent WorkflowsAuto-check passed

More from hoangsonww/Claude-Code-Agent-Monitor

All 78 skills in this repo

  • Version Release

    hoangsonww/Claude-Code-Agent-Monitor

    Choose and apply the correct semantic version bump for this repository.

    1.1k GitHub stars~1.6k tokensUpdated today
    Auto-check passed

  • Budget Set

    hoangsonww/Claude-Code-Agent-Monitor

    Define a spend budget for Claude Code and, optionally, create a cost alert rule that fires when usage crosses the limit, via POST /api/alerts/rules on the Agent Monitor dashboard.

    1.1k GitHub stars~1k tokensUpdated today
    Auto-check passed

  • Cache Efficiency

    hoangsonww/Claude-Code-Agent-Monitor

    Analyze prompt-cache effectiveness for Claude Code usage from the Agent Monitor dashboard — cache hit rate (totalcacheread / (totalcacheread + totalinput)), cachewrite vs cacheread reuse, cache-read…

    1.1k GitHub stars~966 tokensUpdated today
    Auto-check passed

  • Cost Breakdown

    hoangsonww/Claude-Code-Agent-Monitor

    Break down Claude Code costs using the Agent Monitor pricing engine.

    1.1k GitHub stars~845 tokensUpdated today
    Auto-check passed

  • Dag Map

    hoangsonww/Claude-Code-Agent-Monitor

    Render the multi-agent orchestration DAG for a session — parent→child subagent edges, tree depth, and fan-out — from the Agent Monitor workflow intelligence API.

    1.1k GitHub stars~564 tokensUpdated today
    Auto-check passed

  • Dashboard Status

    hoangsonww/Claude-Code-Agent-Monitor

    Quick dashboard health and status overview — checks the Agent Monitor API (port 4820), reports session/agent/event counts from /api/stats, confirms WebSocket connectivity, reads the redacted hook…

    1.1k GitHub stars~600 tokensUpdated today
    Auto-check passed

Categories

Questions about Memory Review

What does Memory Review do?

Review the file-based memory store via the Agent Monitor Config Explorer API: the user and project CLAUDE.md plus per-project auto-memory files under ~/.claude/projects/<slug/memory/.md. Memory Review is an agent skill from hoangsonww/Claude-Code-Agent-Monitor.md.

When should I use Memory Review?

Memory Review fits situations like: curating agent memory; tasks that involve Agent instruction files; tasks that involve Agent memory.

How do I install Memory Review in Claude Code?

Run `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill memory-review -a claude-code`. Or copy the skill folder (plugins/ccam-config/skills/memory-review in hoangsonww/Claude-Code-Agent-Monitor) into .claude/skills/memory-review in your project. Claude Code loads it when a task matches its description.

How do I install Memory Review in Codex?

Run `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill memory-review -a codex`. Or copy the skill folder (plugins/ccam-config/skills/memory-review in hoangsonww/Claude-Code-Agent-Monitor) into .agents/skills/memory-review in your project. Codex loads it when a task matches its description.

Can I use Memory Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill memory-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memory-review, .gemini/skills/memory-review, .github/skills/memory-review and .opencode/skills/memory-review in your project.

What does Memory Review need to run?

Going by SKILL.md and its folder, Memory Review needs the command-line tools its instructions call (curl and npm).

Does Memory Review access the network?

SKILL.md contains no URLs. Its commands use curl and npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Memory Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Memory Review use?

Memory Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Memory Review use?

About 970 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Memory Review?

Skills that share tags, products or a category with Memory Review: Neat-Freak Knowledge Closeout (KKKKhazix/khazix-skills, 21k stars), SkillOpt Sleep Cycle (microsoft/SkillOpt, 18k stars), CLAUDE.md Improver (anthropics/claude-plugins-official, 38k stars) and Harness Engineering (10xChengTu/harness-engineering, 102 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Memory Review?

hoangsonww (a GitHub user) maintains it in hoangsonww/Claude-Code-Agent-Monitor, which has 1,058 GitHub stars. The repository holds 78 skills in this directory. The repository was last updated on October 10, 2026.

Source: hoangsonww/Claude-Code-Agent-Monitor on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.