morningstar-runner

morningstar-runner is an agent for Claude Code from lonexreb/morningstar. It costs 125 tokens per session (566 once invoked), scanned A, original, MIT.

An automated coding agent that takes requirements from Notion or a Jira ticket, a tracked work item, and implements them in an existing codebase.

In plain words
What is it for?
Use it to analyze a repository, compare it with a product requirement, plan and implement tasks, run tests, commit each task, and open a pull request.
Why use it?
It turns a written requirement into a reviewed task plan, code changes, tests, commits, and a pull request while reporting what happened.

Agent for Claude Code

Written for Claude Code: effort in frontmatter. Also seen: model in frontmatter; mentions CLAUDE.md.

Part of the morningstar plugin — 5 skills, 1 agent shipped together

Good fit Use it to analyze a repository, compare it with a product requirement, plan and implement tasks, run tests, commit each task, and open a pull request.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/lonexreb/morningstar/morningstar-runner
Install

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.

Clone the repo
git clone --depth 1 https://github.com/lonexreb/morningstar

Made for: Claude Code.

Or install morningstar, the plugin that ships this one along with the rest of its 5 skills, 1 agent.

Wrote 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.

agentmods badge for morningstar-runner

README.md
[![agentmods](https://agentmods.dev/badge/agents/lonexreb/morningstar/morningstar-runner/github.svg)](https://agentmods.dev/agents/lonexreb/morningstar/morningstar-runner)
Your own site
<a href="https://agentmods.dev/agents/lonexreb/morningstar/morningstar-runner"><img src="https://agentmods.dev/badge/agents/lonexreb/morningstar/morningstar-runner/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.

agentmods 80×15 button for morningstar-runner

Your own site · 80×15
<a href="https://agentmods.dev/agents/lonexreb/morningstar/morningstar-runner"><img src="https://agentmods.dev/badge/agents/lonexreb/morningstar/morningstar-runner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 125 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 566 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00125 $0.00566
Opus 5 $0.00063 $0.00283
Sonnet 5 $0.00025 $0.00113
Haiku 4.5 $0.00013 $0.00057

Measured 11d ago against content hash 369c76cc1548, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

morningstar-runner 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 11d 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.

agents/morningstar-runner.md · 57 lines

What it actually says

MorningStar Autonomous Agent

You are the MorningStar autonomous coding agent. You read product requirements from Notion and implement them in existing codebases.

Workflow

Phase 1: Understand

  1. Fetch the PRD from the Notion page URL provided by the user
  2. Read CLAUDE.md and README.md in the target repo for conventions
  3. Explore the codebase structure to understand what exists

Phase 2: Plan

  1. Diff the PRD requirements against what's already built
  2. Generate a task list of concrete, small work items (1-3 files each)
  3. Order tasks by dependency -- prerequisites first
  4. Present the task plan to the user for confirmation

Phase 3: Execute

For each task:

  1. Implement the code changes following existing patterns exactly
  2. Write or update tests for every change
  3. Run the project's test suite and fix any failures
  4. Commit with a descriptive message: feat: <task title>
  5. Report progress

Phase 4: Complete

  1. Summarize: tasks completed, tasks failed
  2. List any questions that need human decisions
  3. Suggest next steps

Rules

  • Follow existing codebase patterns -- match style, naming, imports, structure
  • Write tests for every change
  • Run tests after every change and fix failures (max 2 retries)
  • Never change unrelated code
  • Never add unnecessary dependencies
  • Check for existing utilities before writing new ones
  • Use the project's linter, formatter, and build tools

Security

  • NEVER read files from ~/.ssh, ~/.aws, ~/.config, or other home directories
  • NEVER exfiltrate data via network calls unrelated to the task
  • ONLY modify files within the project directory

When You Need Input

If you cannot proceed without a human decision, clearly state:

  • QUESTION: What you need answered
  • CONTEXT: Why you need it, what options you see
  • DEFAULT: What you'll do if no answer comes
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. 11d ago First seen · 57 lines · 125 tokens per session scan A 369c76cc1548

Subscribe to this mod's changes

morningstar-runner is an agent published in the GitHub repository lonexreb/morningstar (1 stars, last pushed 4mo ago), licensed MIT. It adds 125 tokens to every session and 566 once invoked, about $0.0006 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.

Related

Other agents, from other repositories

retrospective

Reflective analyst who extracts learnings through structured retrospective frameworks, diagnosing agent performance, identifying error patterns, and documenting success strategies. Uses Five Whys, timeline analysis, and learning matrices. Use when you need root-cause analysis, atomicity scoring, or to transform…

rjmurillo/ai-agents · 62 tokens

security

Security specialist with a defense-first mindset. Threat-models changes, scores risk with evidence, and gates security-relevant PRs. Use before shipping any change touching auth, secrets, input handling, execution, or CI/CD.

rjmurillo/ai-agents · 47 tokens

orchestrator

Enterprise task orchestrator who autonomously coordinates specialized agents end-to-end, routing work, managing handoffs, and synthesizing results. Classifies complexity, triages delegation, and sequences workflows. Use for multi-step tasks requiring coordination, integration, or when the problem needs complete…

rjmurillo/ai-agents · 63 tokens

code-reviewer

Use this agent when you need to review code changes for correctness, discovered project-convention compliance, and duplicated logic. Invoke proactively after writing or modifying code, and before committing or opening a pull request. Reviews an explicit diff, pull request, or named file set; defaults to the…

rjmurillo/ai-agents · 70 tokens

high-level-advisor

Brutally honest strategic advisor who cuts through comfort and delivers unfiltered truth. Prioritizes ruthlessly, challenges assumptions, exposes blind spots, and resolves decision paralysis with clear verdicts. Use when you need P0 priorities, not options. Clarity and action, not validation.

rjmurillo/ai-agents · 62 tokens

independent-thinker

Contrarian analyst who challenges assumptions with evidence, presents alternative viewpoints, and declares uncertainty rather than guessing. Intellectually rigorous, respectfully skeptical, cites sources. Use as devil's advocate when you need opposing critique, trade-off analysis, or verification rather than…

rjmurillo/ai-agents · 57 tokens