milestone-workflow

milestone-workflow is a skill for Claude Code from richkuo/rk-skills. It costs 0 tokens per session (2,399 once invoked), scanned A, original, MIT.

A workflow for implementing all eligible GitHub issues in a milestone through multiple coding agents while respecting dependencies. A dependency means one issue must be completed before another can safely start.

In plain words
What is it for?
Use it to organize milestone issues into work tracks, dispatch implementation and review work, merge completed pull requests in order, and publish the release when the milestone is finished.
Why use it?
It prevents dependent work from starting against outdated or incomplete code. It also gives the user a dependency-based run plan before implementation begins.

Skill for Claude Code

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

Part of the rk-skills plugin — 37 skills, 1 command shipped together

Good fit Use it to organize milestone issues into work tracks, dispatch implementation and review work, merge completed pull requests in order, and publish the release when the milestone is finished.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/richkuo/rk-skills/milestone-workflow
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 richkuo/rk-skills --skill milestone-workflow
Clone the repo
git clone --depth 1 https://github.com/richkuo/rk-skills

Made for: Claude Code.

Or install rk-skills, the plugin that ships this one along with the rest of its 37 skills, 1 command.

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 milestone-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/richkuo/rk-skills/milestone-workflow/github.svg)](https://agentmods.dev/skills/richkuo/rk-skills/milestone-workflow)
Your own site
<a href="https://agentmods.dev/skills/richkuo/rk-skills/milestone-workflow"><img src="https://agentmods.dev/badge/skills/richkuo/rk-skills/milestone-workflow/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 milestone-workflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/richkuo/rk-skills/milestone-workflow"><img src="https://agentmods.dev/badge/skills/richkuo/rk-skills/milestone-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,399 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 $0.00000 $0.02399
Opus 5 $0.00000 $0.01200
Sonnet 5 $0.00000 $0.00480
Haiku 4.5 $0.00000 $0.00240

Measured 3d ago against content hash 9beb17d9679c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

milestone-workflow 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 3d 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/milestone-workflow/SKILL.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

milestone-workflow

No subagent ever holds merge authority: at each LGTM the run pauses as awaiting_merge, the session merges (step 5) and resumes with the merge in args.merged. Read-only table: milestoneplan.

Steps

1. Build the dependency tracks

Follow run-plan.md: bucket every issue as build, resume, or skip; settle cross-bucket edges; read **Depends on:** (hard) and **Runs after:** (ordering-only) and label inferred edges; reject outside references and cycles; shape tracks as { issues, after, runsAfter }.

2. Present the run plan; approval is mandatory

Show the target branch (repo default, or the user's targetBranch, which also means no release), numbered tracks with titles, hard after edges apart from runsAfter edges, inferred edges, each issue's model/effort/fableplan (plan effort: stamped, else high) with the harness named on every Codex CLI or Cursor CLI build (cli-dispatch under an Opus 5 driver, never a substituted Claude build), the readiness boundary, and merge order. Do not invoke the Workflow tool until the user approves; the approval is the multi-agent opt-in and step 2 is never skipped.

State the GitHub writes: issue-body corrections, plan comments, PRs, review comments, and, with merging on, squash-merges at LGTM plus green CI, branch deletion, issue closure, a docs-sync change, and a release. Approval authorizes them; merge: false keeps merging manual.

Add a Run size line: baseline 1 prep + per issue (1 validate + (fableplan ? 1 plan : 0) + 1 implement + (subagent review ? 1 reviewer : 0)), ceiling baseline + 3 × issues. Compare both with the session's Dynamic workflow size guideline (else Claude Code's default of more than 25 scheduled agents), name the source, and recommend splitting the milestone when either crosses it or projected tokens exceed 1.5 million (review-loop agents sit outside both). With a token target, an issue that starts with fewer than budgetFloor tokens (default 80k) left returns budget_deferred. External CLI spend is outside every number above. A Codex CLI or Cursor CLI build spends on that CLI's account for the build and every fix pass or retry; say so on any plan with a CLI stamp.

Read the full file on GitHub · 51 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 3d ago Changed · -29 lines 9beb17d9679c
  2. 4d ago Changed 1682d0dc04f4
  3. 5d ago Changed · -37 lines 33147af8e54a
  4. 10d ago First seen · 117 lines · 0 tokens per session scan A 7bcfc9cc7e12

Subscribe to this mod's changes

milestone-workflow is a skill published in the GitHub repository richkuo/rk-skills (49 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,399 tokens. 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.

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