sprint-plan

sprint-plan is a skill for Codex from frabcd/codex-ai-game-studio. It costs 39 tokens per session (2,982 once invoked), scanned A, original, MIT.

A workflow for creating or updating a sprint plan, which is a short list of work for a fixed period. It uses the current milestone, completed work, available capacity, and the team's chosen review depth.

In plain words
What is it for?
Starting a sprint, revising its plan, or checking its planning status from project documents and design backlogs.
Why use it?
It turns scattered project information into a workable set of sprint tasks and keeps planning aligned with team capacity.

Skill for Codex

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

Good fit Starting a sprint, revising its plan, or checking its planning status from project documents and design backlogs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/frabcd/codex-ai-game-studio/sprint-plan
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 sprint-plan
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 sprint-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/sprint-plan/github.svg)](https://agentmods.dev/skills/frabcd/codex-ai-game-studio/sprint-plan)
Your own site
<a href="https://agentmods.dev/skills/frabcd/codex-ai-game-studio/sprint-plan"><img src="https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/sprint-plan/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 sprint-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/frabcd/codex-ai-game-studio/sprint-plan"><img src="https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/sprint-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,982 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 $0.00039 $0.02982
Opus 5 $0.00019 $0.01491
Sonnet 5 $0.00008 $0.00596
Haiku 4.5 $0.00004 $0.00298

Measured 6d ago against content hash b34ef76c8f81, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

sprint-plan 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 6d 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/sprint-plan/SKILL.md · 282 lines

How it starts

The opening of the file, as written. The whole thing — 282 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 mode argument (new, update, or status) 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.

Review mode check (before gates run):

  • Read production/review-mode.txt if it exists. Use that mode.
  • If the file doesn't exist and this is a new sprint: use the available user-input mechanism:
    • Prompt: "No review mode is set. Which review depth would you like for this sprint?"
    • Options:
      • [A] full — spawn all director and lead gates
      • [B] lean — skip non-phase-gate director reviews (recommended for most sprints)
      • [C] solo — skip all gate spawning
    • After selection: write production/review-mode.txt with the chosen mode. Say: "Review mode set to [mode] and saved to production/review-mode.txt."
  • If the file doesn't exist and this is NOT a new sprint (e.g., updating an existing sprint): default to lean silently.

Phase 1: Gather Context

  1. Read the current milestone from production/milestones/.

  2. Read the previous sprint (if any) from production/sprints/ to understand velocity and carryover.

  3. Scan design documents in design/gdd/ for features tagged as ready for implementation.

  4. Check the risk register at production/risk-register/.


Phase 2: Generate Output

For new:

Generate a sprint plan following this format and present it to the user. Do NOT ask to write yet — the producer feasibility gate (Phase 4) runs first and may require revisions before the file is written.

# Sprint [N] — [Start Date] to [End Date]

## Sprint Goal
[One sentence describing what this sprint achieves toward the milestone]

## Capacity
- Total days: [X]
- Buffer (20%): [Y days reserved for unplanned work]
- Available: [Z days]

## Tasks

### Must Have (Critical Path)
| ID | Task | Agent/Owner | Est. Days | Dependencies | Acceptance Criteria |
|----|------|-------------|-----------|-------------|-------------------|

### Should Have
| ID | Task | Agent/Owner | Est. Days | Dependencies | Acceptance Criteria |
|----|------|-------------|-----------|-------------|-------------------|

### Nice to Have
| ID | Task | Agent/Owner | Est. Days | Dependencies | Acceptance Criteria |
|----|------|-------------|-----------|-------------|-------------------|

## Carryover from Previous Sprint
| Task | Reason | New Estimate |
|------|--------|-------------|

## Risks
| Risk | Probability | Impact | Mitigation |
|------|------------|--------|------------|

## Dependencies on External Factors
- [List any external dependencies]

## Definition of Done for this Sprint
- [ ] All Must Have tasks completed
- [ ] All tasks pass acceptance criteria
- [ ] QA plan exists (`production/qa/qa-plan-sprint-[N].md`)
- [ ] All Logic/Integration stories have passing unit/integration tests
- [ ] Smoke check passed (`$ai-game-studio:smoke-check sprint`)
- [ ] QA sign-off report: APPROVED or APPROVED WITH CONDITIONS (`$ai-game-studio:team-qa sprint`)
- [ ] No S1 or S2 bugs in delivered features
- [ ] Design documents updated for any deviations
- [ ] Code reviewed and merged

Read the full file on GitHub · 282 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. 6d ago First seen · 282 lines · 39 tokens per session scan A b34ef76c8f81

Subscribe to this mod's changes

sprint-plan is a skill published in the GitHub repository frabcd/codex-ai-game-studio (10 stars, last pushed 3d ago), licensed MIT. It adds 39 tokens to every session and 2,982 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.

Related

Other skills, from other repositories

manage-taskboard

Manage Codex Taskboard / e-taskboard work with taskctl. Use for taskboard issue IDs, status sync, comments, or taskctl cloud setup—not for unrelated product docs.

chuspeeism/dashi-taskboard · 41 tokens

merge-review

Reviews pending fleet worktree merges before they're accepted. Reads the merge-check queue, detects file-level conflicts between branches, proposes a safe merge order, and surfaces reconciliation plans for overlapping changes.

SethGammon/Citadel · 40 tokens

workspace

Multi-repo campaign coordinator. Same lifecycle as fleet -- scope claims, discovery relay, wave-based execution -- but the unit of work is a repo, not a file. Coordinates campaigns across repositories with shared context.

SethGammon/Citadel · 44 tokens

decision-map

Turn a loose idea into a git-tracked, session-resumable map of typed investigation tickets, then drive them to resolution one at a time. The planning-loop engine for work that is still being figured out — too fuzzy for a campaign, too big for a single intake item. Resolved tickets graduate into .planning/intake/ for…

SethGammon/Citadel · 77 tokens

unharness

Safely leave Citadel using the active adoption receipt. Produces a no-write, reviewable plan, preserves a portable archive, removes only exact owned material, and reports modified or externally registered surfaces as retained or unknown. Legacy installs must be imported before exact leave is claimed.

SethGammon/Citadel · 59 tokens

doblin-ten-types

Maps and designs innovation strategy using Doblin's Ten Types of Innovation across Configuration (Profit Model, Network, Structure, Process), Offering (Product Performance, Product System), and Experience (Service, Channel, Brand, Customer Engagement). Use when auditing current innovation profile, identifying…

fatihguner/foreman · 92 tokens