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.
npx skills add frabcd/codex-ai-game-studio --skill sprint-plangit clone --depth 1 https://github.com/frabcd/codex-ai-game-studioWrote 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.
[](https://agentmods.dev/skills/frabcd/codex-ai-game-studio/sprint-plan)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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
984023ddac0d5e27624f2baacde6105e45de375funder 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):
- If
--review [full|lean|solo]was passed → use that - Else read
production/review-mode.txt→ use that value - 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.txtif it exists. Use that mode. - If the file doesn't exist and this is a
newsprint: usethe 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.txtwith 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
newsprint (e.g., updating an existing sprint): default toleansilently.
Phase 1: Gather Context
-
Read the current milestone from
production/milestones/. -
Read the previous sprint (if any) from
production/sprints/to understand velocity and carryover. -
Scan design documents in
design/gdd/for features tagged as ready for implementation. -
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
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.
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.
- 6d ago First seen · 282 lines · 39 tokens per session scan A b34ef76c8f81
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.
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