mstar-iteration

mstar-iteration is a skill for Claude Code from btspoony/mstar-harness. It costs 45 tokens per session (5,300 once invoked), scanned A, original, MIT.

A workflow for starting, running, resuming, and closing a Morning Star iteration. An iteration is a defined cycle of planning, implementation, review, and delivery.

In plain words
What is it for?
Use it to run the Morning Star phases, manage plan lifecycles, set up isolated worktrees, dispatch implementation and review work, and finish with a mergeable pull request and passing CI.
Why use it?
It coordinates the stages needed to move several plans from initial direction through implementation, quality checks, pull-request delivery, and merge readiness.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the morning-star-harness plugin — 27 skills, 8 commands, 14 agents, 2 hooks shipped together

Good fit Use it to run the Morning Star phases, manage plan lifecycles, set up isolated worktrees, dispatch implementation and review work, and finish with a mergeable pull request and passing CI.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/btspoony/mstar-harness/mstar-iteration
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.

Any agent
npx skills add btspoony/mstar-harness --skill mstar-iteration
Clone the repo
git clone --depth 1 https://github.com/btspoony/mstar-harness

Made for: Claude Code.

Or install morning-star-harness, the plugin that ships this one along with the rest of its 27 skills, 8 commands, 14 agents, 2 hooks.

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 mstar-iteration

README.md
[![agentmods](https://agentmods.dev/badge/skills/btspoony/mstar-harness/mstar-iteration/github.svg)](https://agentmods.dev/skills/btspoony/mstar-harness/mstar-iteration)
Your own site
<a href="https://agentmods.dev/skills/btspoony/mstar-harness/mstar-iteration"><img src="https://agentmods.dev/badge/skills/btspoony/mstar-harness/mstar-iteration/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 mstar-iteration

Your own site · 80×15
<a href="https://agentmods.dev/skills/btspoony/mstar-harness/mstar-iteration"><img src="https://agentmods.dev/badge/skills/btspoony/mstar-harness/mstar-iteration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,300 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00045 $0.05300
Opus 5.5 $0.00018 $0.02120
Sonnet 5.5 $0.00009 $0.01060
Haiku 4.5 $0.00005 $0.00530

Measured 13d ago against content hash dcd63b7d9478, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mstar-iteration 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 13d 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.

skills/mstar-iteration/SKILL.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

mstar-iteration(迭代管理)

Load order

Read mstar-harness-core first. Path symbols → mstar-conventions. Per-plan gates → mstar-phase-gates. Knowledge crystallization → mstar-compound. Phase 2 implement 波次(进入 per-plan implement 前)→ mstar-sdd + mstar-dispatch-gates;Phase 2 QC 前 → mstar-review-qc。Git/worktree 载体(有 git 写或 lease 时)→ mstar-branch-worktree。Phase 1 角色派发 preflight(每次 invoke 前的 assignment preflight;enforcement: hard fail-fast)→ references/command-shared-invariants.md(本 skill 直接触发时不依赖 command 层)。On conflict, mstar-harness-core wins.

Phase 1 roadmap/milestone reads and Phase 3 close updates → mstar-project-governance, the sole owner of project roadmap/milestone read/write rules.

Phase detail 不在本 skill 正文:按下方 Phase route map 只加载当前动作对应的一行 detail——禁止无条件通读全部 phase references。

The primary coordinator owns all rows of the selected iteration and dispatches ordinary leaf tasks. Row configuration remains revisable during active execution; progress records the start and review states, and direct complete verifies QC/QA and the actual serial merge before writing Done. No row-specific PM launch or binding is required. Command entry accepts no arguments; reject nonempty arguments instead of broadening their scope.

设计思路

mstar 实践模式通常是:一次迭代锁定几个 spec 点(specify + clarify),产生多个 plan,每个 plan 含多个 tasks。per-plan 生命周期有完整的闭环(Prepare → Execute → QC → Done)。Compound 不是 per-plan 活动——它是迭代级收口,在迭代内所有 plan Done 后,沉淀一轮知识。

本 skill 管理迭代 Phase 1–6(command 层可聚合编排,但 不得反向引用 command 名;第三方 helper 仅由 command 按需发现):

Phase 1: start
     ↓
Phase 2: Autonomous Execute  —— [per-plan lifecycle × N]
     ↓
Phase 3: iteration-close
     ↓
Phase 4: PR delivery(开 PR)
     ↓
Phase 5: PR merge-ready loop —— 至 mergeable + CI 全绿 + reviews resolved
         ├ reviewed-auto:跑 PR 级 review loop(mstar-pr-loop)→ 当前 head 上 settled、已 posted 的 ship it,**并且**(仅当存在挂载的外部 review bot;无 bot 时记 N/A)外部 AI review(§5.1b)在当前 head 达到其通过线(Greptile 5/5)、不失败、无 blocking finding = merge 授权
         └ owner-gated:停在 merge-ready → 等人类 owner 对当前 PR head 的书面批准
     ↓
Phase 6: post-merge close —— merge 授权完成、PR merged 后 §6.1–§6.4
     ↓
迭代交付完成

Read the full file on GitHub · 138 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. 13d ago Changed dcd63b7d9478
  2. 14d ago Changed · +4 lines 93e6cc65b44b
  3. 16d ago Changed · -76 tokens per session 9e8fcb4f3ab4
  4. 17d ago Changed · +1 lines 142b5a2c1e52
  5. 19d ago Changed · +2 lines b7c766a7aaf2
  6. 27d ago Changed · -7 tokens per session fb95a180cfb4
  7. 1mo ago Changed · -10 lines 60e90254c56f
  8. 1mo ago Changed · +7 tokens per session bfc9a87e75ed
  9. 1mo ago Changed 3550bfd0020f
  10. 1mo ago First seen · 141 lines · 121 tokens per session scan A d7de61cd5f0f

Subscribe to this mod's changes

mstar-iteration is a skill published in the GitHub repository btspoony/mstar-harness (68 stars, last pushed 2d ago), licensed MIT. It adds 45 tokens to every session and 5,300 once invoked, about $0.0002 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 2026-08-30.

Related

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mstar-iteration next to 6 skills from other repositories
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mstar-iterationbtspoony/mstar-harnessSkill682d agoMITA45Claude Code
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cometrpamis/cometSkill3.3kyesterdayMITA44Claude Code, Codex
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comet-designrpamis/cometSkill3.3kyesterdayMITA29Claude Code, Codex