ai-journal-mcp: Instructions file for Claude Code

CLAUDE.md

ai-journal-mcp CLAUDE.md is an instructions file for Claude Code from solentlabs/ai-journal-mcp. It costs 941 tokens per session, scanned A, original, MIT.

A set of Claude Code instructions for the solentlabs/ai-journal-mcp repository. It points to the project documents that define development, architecture, formats, use cases, and design decisions.

In plain words
What is it for?
Use it when working in that repository to find the right documentation, preserve journal data, follow its architecture, and avoid changing generated files directly.
Why use it?
It tells the coding agent where authoritative information lives and highlights constraints such as treating Markdown as the source of truth and avoiding edits to generated views.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md.

This is solentlabs/ai-journal-mcp's own configuration. It tells Claude Code how to work on ai-journal-mcp 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 ai-journal-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to solentlabs/ai-journal-mcp. 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/solentlabs/ai-journal-mcp/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/solentlabs/ai-journal-mcp

Made for: Claude Code.

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README.md
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Per session 941 This file is loaded in full into every session.
When invoked 941 The same file — it is already loaded in full.
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 $0.00941 $0.00941
Opus 5 $0.00470 $0.00470
Sonnet 5 $0.00188 $0.00188
Haiku 4.5 $0.00094 $0.00094

Measured 9d ago against content hash 0ff4613d1b08, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ai-journal-mcp CLAUDE.md 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 9d 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.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Claude Rules

This file: how Claude behaves in this repository. Architecture, specifications, and decisions live in the docs linked below; this file points rather than restates.

Where Things Live

Topic Authoritative doc
Dev environment (setup, scripts, tooling, make targets) docs/DEVELOPMENT.md
System architecture (components, data flow, journal modes) docs/ARCHITECTURE.md
Formats and contracts (entry files, journals.toml, parser rules, tool surface) docs/SPECIFICATION.md
The "why" behind the design docs/ARCHITECTURE_DECISIONS.md
What the product is for docs/USE_CASES.md
Project status, source inventory, migration history .claude/memory/ (gitignored, session knowledge)

Hard Constraints

  1. Markdown is the source of truth. The SQLite index is disposable and regenerated; never treat it as authoritative, never commit it.
  2. Never hand-edit generated views. JOURNAL.md and themes/*.md in a managed journal are regenerated by refresh_views(). Changes go in entry files; views follow.
  3. No data loss in intake/migration paths. Originals move to attic/, never deleted. Any new destructive-looking operation must preserve a recoverable copy and be covered by a test proving it.
  4. Indexed-mode journals are read-only. Never restructure or write to a source configured with mode = "indexed".
  5. Staging is the user's alone. Never run or suggest git add, git rm --cached, or git restore --staged — staging the index is the user's job, period. Claude may git commit and git push, but only with the user's explicit permission in the moment (never unprompted); commit what the user has already staged, don't stage more. Otherwise, present what changed (a file list or diff) and stop.

Working in This Repo

  • Use the project venv. Prefer the make targets (they pin to .venv/bin and match CI): make test, make check, make lint-fix. Direct equivalents: .venv/bin/pytest -q, .venv/bin/ai-journal-mcp .... Setup: ./scripts/setup.sh. Full guide in docs/DEVELOPMENT.md.
  • Before declaring work done, run make check (lint + format-check + type-check + docs lint + full suite with coverage; the docs lint needs Node/npm). It must be green.
  • No warning creep. Every surfaced finding — from a review, a linter, or CI annotations — reaches a terminal state: fixed with a test, or recorded as a deliberate cut in ARCHITECTURE_DECISIONS.md ("Known limitations"). Never relay a capped/summarized review without expanding its cut list, and never leave "known minor issues" floating in conversation or commit messages as the only record.
  • Ruff is the single linter/formatter and mypy the type authority; all tool config lives in pyproject.toml. Don't add competing config files.
  • New behavior requires tests. Test data is fixture-based, not inline:
    • Formats/parsing → drop a real sample under tests/fixtures/ and let parametrize pick it up (parser changes must add a fixture reproducing the real-world format that motivated them — see tests/fixtures/parser/README.md).
    • Pure logic → table-driven via @pytest.mark.parametrize.
    • Filesystem behavior → the make_journal factory fixture in tests/conftest.py, not ad-hoc inline file-writing.
  • The MCP server (server.py) is a thin layer; logic belongs in the library modules so it stays testable without an MCP client.
  • The user's live journals are configured in ~/.config/ai-journal-mcp/journals.toml. Do not run migrate --apply or bulk-edit scripts against them without an explicit request and a fresh backup.

Read the full file on GitHub · 67 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. 9d ago First seen · 67 lines · 941 tokens per session scan A 0ff4613d1b08

Subscribe to this mod's changes

ai-journal-mcp CLAUDE.md is an instructions file published in the GitHub repository solentlabs/ai-journal-mcp (1 stars, last pushed 1mo ago), licensed MIT. It adds 941 tokens to every session, about $0.0047 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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