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.
npx agentmods add skills/tostechbr/memoryclaw/akashic-codebase-mapnpx skills add tostechbr/memoryClaw --skill akashic-codebase-mapgit clone --depth 1 https://github.com/tostechbr/memoryClawWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00038 | $0.01326 |
| Opus 5 | $0.00019 | $0.00663 |
| Sonnet 5 | $0.00008 | $0.00265 |
| Haiku 4.5 | $0.00004 | $0.00133 |
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 yesterday.
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.
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);
// ...
}
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.
- yesterday First seen · 137 lines · 38 tokens per session scan A b99da3a20e83
akashic-codebase-map is a skill published in the GitHub repository tostechbr/memoryClaw (8 stars, last pushed 5mo ago), licensed MIT. It adds 38 tokens to every session and 1,326 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.
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