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/reverse-documentnpx skills add striderZA/OpenCodeGameStudios --skill reverse-documentgit 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/reverse-document)<a href="https://agentmods.dev/skills/striderza/opencodegamestudios/reverse-document"><img src="https://agentmods.dev/badge/skills/striderza/opencodegamestudios/reverse-document.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 | $0.00024 | $0.02097 |
| Opus 5 | $0.00012 | $0.01048 |
| Sonnet 5 | $0.00005 | $0.00419 |
| Haiku 4.5 | $0.00002 | $0.00210 |
Grade A, and why
reverse-document 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
95% identical to reverse-document — 1 line 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 — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reverse Documentation
This skill analyzes existing implementation (code, prototypes, systems) and generates appropriate design or architecture documentation. Use this when:
- You built a feature without writing a design doc first
- You inherited a codebase without documentation
- You prototyped a mechanic and need to formalize it
- You need to document "why" behind existing code
Workflow
Phase 1: Parse Arguments
Format: /reverse-document <type> <path>
Type options:
design→ Generate a game design document (GDD section)architecture→ Generate an Architecture Decision Record (ADR)concept→ Generate a concept document from prototype
Path: Directory or file to analyze
src/gameplay/combat/→ All combat-related codesrc/core/event-system.cpp→ Specific fileprototypes/stealth-mech/→ Prototype directory
Examples:
/reverse-document design src/gameplay/magic-system
/reverse-document architecture src/core/entity-component
/reverse-document concept prototypes/vehicle-combat
Phase 2: Analyze Implementation
Read and understand the code/prototype:
For design docs (GDD):
- Identify mechanics, rules, formulas
- Extract gameplay values (damage, cooldowns, ranges)
- Find state machines, ability systems, progression
- Detect edge cases handled in code
- Map dependencies (what systems interact?)
For architecture docs (ADR):
- Identify patterns (ECS, singleton, observer, etc.)
- Understand technical decisions (threading, serialization, etc.)
- Map dependencies and coupling
- Assess performance characteristics
- Find constraints and trade-offs
For concept docs (prototype analysis):
- Identify core mechanic
- Extract emergent gameplay patterns
- Note what worked vs what didn't
- Find technical feasibility insights
- Document player fantasy / feel
Phase 3: Ask Clarifying Questions
DO NOT just describe the code. ASK about intent:
Design questions:
- "I see a [resource] system that depletes during [activity]. Was this for:
- Pacing (prevent spam)?
- Resource management (strategic depth)?
- Or something else?"
- "The [mechanic] seems central. Is this a core pillar, or supporting feature?"
- "[Value] scales exponentially with [factor]. Intentional design, or needs rebalancing?"
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 · 263 lines · 24 tokens per session scan A a697f1331b5c
reverse-document is a skill published in the GitHub repository striderZA/OpenCodeGameStudios (84 stars, last pushed 24d ago), licensed MIT. It adds 24 tokens to every session and 2,097 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to reverse-document, differing in 1 line, and is treated as a copy.
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