milestone-review

milestone-review is a skill for Codex from frabcd/codex-ai-game-studio. It costs 40 tokens per session (1,404 once invoked), scanned A, original, MIT.

A milestone checkpoint report for a software project. It combines feature progress, codebase warning signs, risks, quality information, and a recommendation about whether to proceed.

In plain words
What is it for?
Use it to review the current or a named milestone, read its sprint reports, scan for TODO or FIXME markers, check the risk register, and decide whether the milestone is ready.
Why use it?
It gathers scattered project evidence into one review so teams can spot unfinished work and delivery risks before a deadline.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents; mentions Codex; $skill-name invocation.

Good fit Use it to review the current or a named milestone, read its sprint reports, scan for TODO or FIXME markers, check the risk register, and decide whether the milestone is ready.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/frabcd/codex-ai-game-studio/milestone-review
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 frabcd/codex-ai-game-studio --skill milestone-review
Clone the repo
git clone --depth 1 https://github.com/frabcd/codex-ai-game-studio

Made for: Codex.

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/frabcd/codex-ai-game-studio/milestone-review/github.svg)](https://agentmods.dev/skills/frabcd/codex-ai-game-studio/milestone-review)
Your own site
<a href="https://agentmods.dev/skills/frabcd/codex-ai-game-studio/milestone-review"><img src="https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/milestone-review/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-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/frabcd/codex-ai-game-studio/milestone-review"><img src="https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/milestone-review.svg" alt="Reviewed on agentmods" width="80" 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 1,404 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 $0.00040 $0.01404
Opus 5 $0.00020 $0.00702
Sonnet 5 $0.00008 $0.00281
Haiku 4.5 $0.00004 $0.00140

Measured 9d ago against content hash 6fc4872654a5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 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.

plugins/ai-game-studio/skills/milestone-review/SKILL.md · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Port provenance: adapted from the pinned upstream source at 984023ddac0d5e27624f2baacde6105e45de375f under MIT; see the repository parity ledger for the exact path and blob.

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 the installed Codex role-gate protocol 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 · 159 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. 9d ago First seen · 159 lines · 40 tokens per session scan A 6fc4872654a5

Subscribe to this mod's changes

milestone-review is a skill published in the GitHub repository frabcd/codex-ai-game-studio (9 stars, last pushed 2d ago), licensed MIT. It adds 40 tokens to every session and 1,404 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 2026-08-31.

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