kbask: Instructions file for Claude Code

CLAUDE.md

kbask CLAUDE.md is an instructions file for Claude Code, Codex from sughosh-pocketfm/kbask. It costs 3,623 tokens per session, scanned B, original, MIT.

Project-specific instructions for kbask, a Python MCP server that combines two code-analysis tools. One maps where code is connected, while the other explains why parts of the code exist; MCP is a standard way for AI clients to use tools.

In plain words
What is it for?
Asking questions about a codebase, tracing calls and imports, finding ownership, and creating onboarding explanations through an MCP-compatible client.
Why use it?
They help an AI assistant understand both a codebase’s structure and its purpose, reducing the guesswork involved in tracing unfamiliar code and onboarding to a project.

Instructions file for Claude CodeCodex

Written for Codex and Claude Code: reads ~/.codex or $CODEX_HOME, but also the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions Codex.

This is sughosh-pocketfm/kbask's own configuration. It tells Claude Code and Codex how to work on kbask 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 kbask configures →

Reuse

Borrowing it

Nothing to install: this file belongs to sughosh-pocketfm/kbask. 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/sughosh-pocketfm/kbask/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/sughosh-pocketfm/kbask

Made for: Claude Code, Codex.

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Per session 3,623 This file is loaded in full into every session.
When invoked 3,623 The same file — it is already loaded in full.
Security scan B 1 finding. 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 $0.03623 $0.03623
Opus 5 $0.01811 $0.01811
Sonnet 5 $0.00725 $0.00725
Haiku 4.5 $0.00362 $0.00362

Measured 8d ago against content hash 9dfd87b6b7c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade B, and why

kbask CLAUDE.md scanned grade B with 1 finding 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 8d 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

│ │ ├── codex.py # writes ~/.codex/config.toml
CLAUDE.md · 330 lines

How it starts

The opening of the file, as written. The whole thing — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md — kbask

Guidance for Claude Code (and other AI agents) working in this repo.


What this project is

kbask is a single Python MCP (Model Context Protocol) server that joins two upstream code-analysis tools into one MCP endpoint:

  • Graphify — deterministic tree-sitter AST graph (calls, imports, ownership). Tells you where things are.
  • Understand-Anything — LLM-derived semantic knowledge graph (purpose, domain, onboarding narrative). Tells you why things exist.

The product value is the hybrid layer (ask / trace / onboard), which queries the structural graph and decorates the result with the semantic graph's narrative. The host LLM (Claude / Codex / Gemini) does the synthesis — kbask itself never calls a model.

Host-agnostic: works in any MCP-compatible client (Claude Code, Codex CLI, Gemini CLI, AGY future).

Public repo: https://github.com/sughosh-pocketfm/kbask. PyPI name target: kbask (fallback kbask).


Critical mental model

Graphify is a self-running CLI; Understand-Anything is not.

  • graphify update . runs deterministically — tree-sitter parses, writes graphify-out/graph.json. Cheap, fast, idempotent.
  • Understand-Anything has no analyzer binary. Its knowledge graph is built by an LLM following prompts shipped in the Claude Code plugin (auto-update-prompt.md). The output lives at <repo>/.understand-anything/knowledge-graph.json.

So kbask update does not rebuild the semantic graph from scratch. It:

  1. Runs graphify update for the structural side.
  2. Mirrors the upstream .understand-anything/knowledge-graph.json into kbask-out/knowledge-graph.json if present.
  3. Tracks per-file content hashes in kbask-out/meta.json for incremental change detection.

If .understand-anything/ is absent, structural tools still work; the semantic tools return a clean not built error pointing the user at the right command in their host (/understand-update in Claude Code).

Read the full file on GitHub · 330 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. 8d ago First seen · 330 lines · 3,623 tokens per session scan B 9dfd87b6b7c1

Subscribe to this mod's changes

kbask CLAUDE.md is an instructions file published in the GitHub repository sughosh-pocketfm/kbask (0 stars, last pushed 26d ago), licensed MIT. It adds 3,623 tokens to every session, about $0.0181 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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