milestone-review

milestone-review is a skill for Claude Code from Donchitos/Claude-Code-Game-Studios. It costs 40 tokens per session (1,318 once invoked), scanned A, original, MIT.

A milestone review that summarizes feature progress, quality measures, risks, and whether a game is ready to continue toward a milestone.

In plain words
What is it for?
Use it at a milestone deadline or checkpoint to assess completeness and make a go-or-no-go recommendation.
Why use it?
It brings scattered project information into one checkpoint decision and highlights unfinished or risky work.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; names the AskUserQuestion tool.

Good fit Use it at a milestone deadline or checkpoint to assess completeness and make a go-or-no-go recommendation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/donchitos/claude-code-game-studios/milestone-review
About the project

Claude Code Game Studios is a setup that organizes Claude Code into a coordinated game-development team of specialized AI agents. It supports game projects across design, programming, art, audio, narrative, quality assurance, and production, with skills and workflows for coordinating that work.

Donchitos/Claude-Code-Game-Studios · 24,880 stars · on GitHub

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 Donchitos/Claude-Code-Game-Studios --skill milestone-review
Clone the repo
git clone --depth 1 https://github.com/Donchitos/Claude-Code-Game-Studios

Made for: Claude Code.

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-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/milestone-review.svg)](https://agentmods.dev/skills/donchitos/claude-code-game-studios/milestone-review)
Your own site
<a href="https://agentmods.dev/skills/donchitos/claude-code-game-studios/milestone-review"><img src="https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/milestone-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,318 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 7
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 $0.00040 $0.01318
Opus 5 $0.00020 $0.00659
Sonnet 5 $0.00008 $0.00264
Haiku 4.5 $0.00004 $0.00132

Measured 5d ago against content hash 736a1cffb028, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

milestone-review 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 5d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.claude/skills/milestone-review/SKILL.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Phase 0: Parse Arguments

Extract the milestone name (current or a specific name) and resolve the review mode (once, store for all gate spawns this run):

  1. If --review [full|lean|solo] was passed → use that
  2. Else read production/review-mode.txt → use that value
  3. Else → default to lean

See .claude/docs/director-gates.md for the full check pattern.


Phase 1: Load Milestone Data

Read the milestone definition from production/milestones/. If the argument is current, use the most recently modified milestone file.

Read all sprint reports for sprints within this milestone from production/sprints/.


Phase 2: Scan Codebase Health

  • Scan for TODO, FIXME, HACK markers that indicate incomplete work
  • Check the risk register at production/risk-register/

Phase 3: Generate the Milestone Review

# Milestone Review: [Milestone Name]

## Overview
- **Target Date**: [Date]
- **Current Date**: [Today]
- **Days Remaining**: [N]
- **Sprints Completed**: [X/Y]

## Feature Completeness

### Fully Complete
| Feature | Acceptance Criteria | Test Status |
|---------|-------------------|-------------|

### Partially Complete
| Feature | % Done | Remaining Work | Risk to Milestone |
|---------|--------|---------------|------------------|

### Not Started
| Feature | Priority | Can Cut? | Impact of Cutting |
|---------|----------|----------|------------------|

## Quality Metrics
- **Open S1 Bugs**: [N] -- [List]
- **Open S2 Bugs**: [N]
- **Open S3 Bugs**: [N]
- **Test Coverage**: [X%]
- **Performance**: [Within budget? Details]

## Code Health
- **TODO count**: [N across codebase]
- **FIXME count**: [N]
- **HACK count**: [N]
- **Technical debt items**: [List critical ones]

## Risk Assessment
| Risk | Status | Impact if Realized | Mitigation Status |
|------|--------|-------------------|------------------|

## Velocity Analysis
- **Planned vs Completed** (across all sprints): [X/Y tasks = Z%]
- **Trend**: [Improving / Stable / Declining]
- **Adjusted estimate for remaining work**: [Days needed at current velocity]

## Scope Recommendations
### Protect (Must ship with milestone)
- [Feature and why]

### At Risk (May need to cut or simplify)
- [Feature and risk]

### Cut Candidates (Can defer without compromising milestone)
- [Feature and impact of cutting]

## Go/No-Go Assessment

**Recommendation**: [GO / CONDITIONAL GO / NO-GO]

**Conditions** (if conditional):
- [Condition 1 that must be met]
- [Condition 2 that must be met]

**Rationale**: [Explanation of the recommendation]

## Action Items
| # | Action | Owner | Deadline |
|---|--------|-------|----------|

Read the full file on GitHub · 157 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. 5d ago First seen · 157 lines · 40 tokens per session scan A 736a1cffb028

Subscribe to this mod's changes

milestone-review is a skill published in the GitHub repository Donchitos/Claude-Code-Game-Studios (24,880 stars, last pushed 3mo ago), licensed MIT. It adds 40 tokens to every session and 1,318 once invoked, about $0.0002 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 2026-09-03.

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