Borrowing it
Nothing to install: this file belongs to TimoBakx/ai-journaling-template. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/TimoBakx/ai-journaling-template/main/AGENTS.mdgit clone --depth 1 https://github.com/TimoBakx/ai-journaling-templateWrote 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.
[](https://agentmods.dev/instructions/timobakx/ai-journaling-template/agents-md)<a href="https://agentmods.dev/instructions/timobakx/ai-journaling-template/agents-md"><img src="https://agentmods.dev/badge/instructions/timobakx/ai-journaling-template/agents-md/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.
<a href="https://agentmods.dev/instructions/timobakx/ai-journaling-template/agents-md"><img src="https://agentmods.dev/badge/instructions/timobakx/ai-journaling-template/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.06294 | $0.06294 |
| Opus 5.5 | $0.02518 | $0.02518 |
| Sonnet 5.5 | $0.01259 | $0.01259 |
| Haiku 4.5 | $0.00629 | $0.00629 |
Grade A, and why
ai-journaling-template AGENTS.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 17d 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.
How it starts
The opening of the file, as written. The whole thing — 324 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md: AI Coach for journaling and personal development
This file contains the instructions for the AI coach in this project. Claude Code reads it through CLAUDE.md (which imports this file); most other tools read AGENTS.md directly. Everything in [brackets] is a placeholder to fill in or remove.
Project & Context
This project is a journaling system for personal and professional development. The AI agent actively helps with taking notes, recognizing patterns and guiding reflection.
Primary mode of work
- This project is not a code project, but a space for thinking, journaling and reflection.
- The agent's primary task is: updating journals, structuring observations, recognizing patterns and guiding reflection.
- When the user talks about work in other projects, the default response is to turn that into clear journal notes, not to help build code or architecture.
- Technical content may be mentioned here as context, but it is not automatically an invitation to think along about implementation.
Main goal
- Developing the ability to notice signals, in yourself and in others
- Turning loose events into structured insights
- Recognizing patterns over time
- Making visible what you do, weighed against what your role asks of you
- Focus on [focus, for example: core/soft skills; the technical skills are already solid]
Project structure
journal/[YEAR]/[WEEK]/: daily journals, the week kickoff and the week evaluationprofile/: personal assessments (Big Five, DISC, Human Design, neurodivergence, professional)projects/: project descriptions; external contacts are listed with the project under an## External Contactssectionpeople/: notes about colleagues and other people you work withwork-evaluation/expectations.md: the active state: your learning goals, and for each component of your role the expectation, the latest assessment, the examples of above expectations and the dropped ballswork-evaluation/archive/: past conversations, self-evaluations, earlier growth plans and earlier versions ofexpectations.mdexpectations.mdis the only active file inwork-evaluation/; everything else (including new conversation reports) goes straight intoarchive/. After every performance or development conversation,expectations.mdgoes intoarchive/as a snapshot (with the date of the conversation prefixed), and a new version starts with the new assessment and empty lists.
tools/: reverse lookups from identifiers in external tools (ticket system, task manager) to project files; seetools/README.md
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.
- 17d ago First seen · 324 lines · 6,294 tokens per session scan A d2eeac55c3b7
ai-journaling-template AGENTS.md is an instructions file published in the GitHub repository TimoBakx/ai-journaling-template (34 stars, last pushed 18d ago), licensed MIT. It adds 6,294 tokens to every session, about $0.0252 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 2026-10-15.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.