memoryClaw: Skill for Claude Code

.claude/skills/akashic-codebase-map/SKILL.md

akashic-codebase-map is a skill for Claude Code from tostechbr/memoryClaw. It costs 38 tokens per session (1,326 once invoked), scanned A, original, MIT.

A reference map of the Akashic Context codebase, showing its main packages, files, types, and implementation conventions. Akashic Context is a memory system built around stored text, search, and user context.

In plain words
What is it for?
Use it to locate memory management, SQLite and keyword search, text chunking, embeddings, MCP server code, and related tests.
Why use it?
It gives agents a shared view of the project before they change code, reducing the need to rediscover its structure.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

This is tostechbr/memoryClaw's own configuration. It tells Claude Code how to work on memoryClaw itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything memoryClaw configures →

Reuse

Borrowing it

Nothing to install: this file belongs to tostechbr/memoryClaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/tostechbr/memoryClaw/main/.claude/skills/akashic-codebase-map/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/tostechbr/memoryClaw

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 akashic-codebase-map

README.md
[![agentmods](https://agentmods.dev/badge/skills/tostechbr/memoryclaw/akashic-codebase-map/github.svg)](https://agentmods.dev/skills/tostechbr/memoryclaw/akashic-codebase-map)
Your own site
<a href="https://agentmods.dev/skills/tostechbr/memoryclaw/akashic-codebase-map"><img src="https://agentmods.dev/badge/skills/tostechbr/memoryclaw/akashic-codebase-map/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 akashic-codebase-map

Your own site · 80×15
<a href="https://agentmods.dev/skills/tostechbr/memoryclaw/akashic-codebase-map"><img src="https://agentmods.dev/badge/skills/tostechbr/memoryclaw/akashic-codebase-map.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,326 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 $0.00038 $0.01326
Opus 5.5 $0.00015 $0.00530
Sonnet 5.5 $0.00008 $0.00265
Haiku 4.5 $0.00004 $0.00133

Measured 2mo ago against content hash b99da3a20e83, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

akashic-codebase-map 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 2mo 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.

.claude/skills/akashic-codebase-map/SKILL.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Akashic Context — Codebase Map

Project Structure

packages/
├── core/src/
│   ├── types.ts              <- Core interfaces: Message, MemoryConfig, MemoryChunk, Session
│   ├── index.ts              <- Main exports
│   ├── memory/
│   │   ├── manager.ts        <- MemoryManager class (orchestrates everything)
│   │   ├── storage.ts        <- MemoryStorage class (SQLite + FTS5)
│   │   ├── chunking.ts       <- chunkMarkdown() (~400 tokens, 80 overlap)
│   │   ├── hybrid.ts         <- mergeHybridResults() (70% vec + 30% keyword)
│   │   ├── manager.test.ts   <- Unit tests for MemoryManager
│   │   └── providers/
│   │       └── openai.ts     <- createOpenAIEmbeddingProvider()
│   └── utils/
│       ├── hash.ts           <- hashText(content): string
│       └── files.ts          <- listMemoryFiles(), exists(), ensureDir()
│
└── mcp-server/src/
    ├── index.ts              <- MemoryMcpServer class (4 MCP tools)
    ├── cli.ts                <- CLI entry point (env vars + args)
    └── index.test.ts         <- Unit tests for MCP server

Key Classes and Interfaces

MemoryManagerConfig (manager.ts)

interface MemoryManagerConfig {
  dataDir: string;       // Where DBs are stored
  userId: string;        // User identifier
  sessionId?: string;    // Optional session scope
  workspaceDir: string;  // Where MEMORY.md + memory/*.md live
  memory: MemoryConfig;
  vectorExtensionPath?: string;
}

StorageConfig (storage.ts)

interface StorageConfig {
  dataDir: string;
  userId: string;
  sessionId?: string;
}
// Current DB path: {dataDir}/memory_{userId}.db
// Sprint 0 target: {dataDir}/users/{userId}/memory.db

MemoryStorage constructor (storage.ts:85-92)

constructor(config: StorageConfig) {
  const sessionPart = config.sessionId ? `_${config.sessionId}` : "";
  const dbName = `memory_${config.userId}${sessionPart}.db`;
  this.dbPath = path.join(ensureDir(config.dataDir), dbName);
  // ...
}

Read the full file on GitHub · 137 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. 2mo ago First seen · 137 lines · 38 tokens per session scan A b99da3a20e83

Subscribe to this mod's changes

akashic-codebase-map is a skill published in the GitHub repository tostechbr/memoryClaw (8 stars, last pushed 8mo ago), licensed MIT. It adds 38 tokens to every session and 1,326 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.

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