Borrowing it
Nothing to install: this file belongs to lonexreb/morningstar. 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/lonexreb/morningstar/main/CLAUDE.mdgit clone --depth 1 https://github.com/lonexreb/morningstarWrote 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/lonexreb/morningstar/claude-md)<a href="https://agentmods.dev/instructions/lonexreb/morningstar/claude-md"><img src="https://agentmods.dev/badge/instructions/lonexreb/morningstar/claude-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/lonexreb/morningstar/claude-md"><img src="https://agentmods.dev/badge/instructions/lonexreb/morningstar/claude-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 | $0.01018 | $0.01018 |
| Opus 5 | $0.00509 | $0.00509 |
| Sonnet 5 | $0.00204 | $0.00204 |
| Haiku 4.5 | $0.00102 | $0.00102 |
Grade A, and why
morningstar 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.
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MorningStar
Autonomous coding agent that reads a PRD from Notion, analyzes a codebase, generates tasks, and implements them using Claude Code CLI. Posts progress to Slack.
Tech Stack
- Python 3.10+ with
typer+rich - Claude Code CLI (headless mode via
-p) - Notion MCP for PRD ingestion
- Slack webhooks for status updates + bot token for two-way Q&A
Install
pip install -e ".[dev]"
Usage
morningstar run \
--notion-url "https://notion.so/PRD-abc123" \
--slack-webhook "https://hooks.slack.com/services/..." \
--repo /path/to/repo
Project Structure
src/morningstar/
__init__.py -- version
cli.py -- typer CLI entry point (run, version, dry-run, process-queue, status)
engine.py -- core loop + 24/7 queue processor (fetch, plan, execute, commit, PR) + RunRecord history
banner.py -- ASCII art banner and branding
morningstar_demo.py -- standalone walkthrough of process-queue with all I/O mocked
.github/workflows/ -- 15-min cron executor + manual dry-run executor
.claude-plugin/
plugin.json -- plugin manifest (name, version, keywords, paths)
marketplace.json -- self-hosted marketplace entry (category, tags, source)
agents/morningstar-runner.md -- autonomous orchestrator agent
skills/run|dry-run|version|watch -- user-facing slash commands
Conventions
TaskResultandRunRecordare frozen (immutable).RunStateandQueueResultare mutable (accumulated in the loop).- All Claude CLI calls go through
_run_claude()in engine.py - One-way Slack posts go through
slack_post()(webhook) - Two-way Slack Q&A goes through
slack_post_and_get_reply()(bot token + polling) - Question detection via
parse_question_block()regex on Claude output - Logs written to
<target-repo>/.agent-logs/ - Run history written to
<target-repo>/.morningstar/run-history.jsonl(append-only, capped at 500 records). Surfaced bymorningstar status. - Weekly spend ledger lives at
<target-repo>/.morningstar/weekly-spend.json(ISO week key + running total). - Budget tracked via
RunState.cost-- includes PRD fetch + task gen + execution - All user-supplied inputs are validated before use (model allowlist, webhook URL, task IDs)
- AI-generated task IDs are sanitized via
_sanitize_task_id()before filesystem use git addexcludes sensitive file patterns (.env,*.pem,*.key, etc.)- PRD fetch runs in a temp directory with read-only tools (no Bash)
- Task generation uses read-only tools (no Bash) -- only execution gets write + Bash
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.
- 9d ago First seen · 93 lines · 1,018 tokens per session scan A 6855e529ed8c
morningstar CLAUDE.md is an instructions file published in the GitHub repository lonexreb/morningstar (1 stars, last pushed 4mo ago), licensed MIT. It adds 1,018 tokens to every session, about $0.0051 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.
Other instructions, from other repositories
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
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.