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 agentmods add skills/striderza/opencodegamestudios/retrospectivenpx skills add striderZA/OpenCodeGameStudios --skill retrospectivegit clone --depth 1 https://github.com/striderZA/OpenCodeGameStudiosWrote 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/striderza/opencodegamestudios/retrospective)<a href="https://agentmods.dev/skills/striderza/opencodegamestudios/retrospective"><img src="https://agentmods.dev/badge/skills/striderza/opencodegamestudios/retrospective.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00032 | $0.01833 |
| Opus 5 | $0.00016 | $0.00916 |
| Sonnet 5 | $0.00006 | $0.00367 |
| Haiku 4.5 | $0.00003 | $0.00183 |
Grade A, and why
retrospective 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 yesterday.
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.
This is a copy
81% identical to retrospective — 49 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phase 1: Parse Arguments
Determine whether this is a sprint retrospective (sprint-N) or a milestone retrospective (milestone-name).
Phase 1b: Check for Existing Retrospective
Before loading any data, glob for an existing retrospective file:
- For sprint retrospectives:
production/retrospectives/retro-[sprint-slug]-*.md(also checkproduction/sprints/sprint-[N]-retrospective.mdas an alternate location) - For milestone retrospectives:
production/retrospectives/retro-[milestone-name]-*.md
If a matching file is found, present the user with:
An existing retrospective was found: [filename]
[A] Update existing retrospective — load it and add/revise sections
[B] Start fresh — generate a new retrospective, archiving the old one
Wait for user selection before continuing. If updating, read the existing file and carry its content forward into the generation phase, revising sections with new data.
Phase 2: Load Sprint or Milestone Data
Read the sprint or milestone plan from the appropriate location:
- Sprint plans:
production/sprints/ - Milestone definitions:
production/milestones/
If the file does not exist or is empty, output:
"No sprint data found for [sprint/milestone]. Run
/sprint-statusto generate sprint data first, or provide the sprint details manually."
Then use question to present two options:
- [A] Provide data manually — ask the user to paste or describe the sprint tasks, dates, and outcomes; use that as the source of truth for the retrospective.
- [B] Stop — abort the skill. Verdict: BLOCKED — no sprint data available.
If the user chooses [A], collect the data and continue to Phase 3 using what they provide. If the user chooses [B], stop here.
Extract: planned tasks, estimated effort, owners, and goals.
Read the git log for the period covered by the sprint or milestone to understand what was actually committed and when.
Phase 3: Analyze Completion and Trends
Scan for completed and incomplete tasks by comparing the plan against actual deliverables. Check for:
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.
- yesterday First seen · 211 lines · 32 tokens per session scan A 8137df4a01c7
retrospective is a skill published in the GitHub repository striderZA/OpenCodeGameStudios (84 stars, last pushed 24d ago), licensed MIT. It adds 32 tokens to every session and 1,833 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 81% identical to retrospective, differing in 49 lines, and is treated as a copy.
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tilemap-pipeline
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game-feel-design
Design moment-to-moment feedback — hit-stop, screen shake, tweening, and response timing — so actions feel readable and satisfying.
combat-design
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level-design
Shape level flow, pacing, navigation, encounter staging, and spatial teaching.
monetization-design
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