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 frankxai/awesome-gamification-agent-skills --skill unity-progression-systemgit clone --depth 1 https://github.com/frankxai/awesome-gamification-agent-skillsWrote 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/frankxai/awesome-gamification-agent-skills/unity-progression-system)<a href="https://agentmods.dev/skills/frankxai/awesome-gamification-agent-skills/unity-progression-system"><img src="https://agentmods.dev/badge/skills/frankxai/awesome-gamification-agent-skills/unity-progression-system/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/frankxai/awesome-gamification-agent-skills/unity-progression-system"><img src="https://agentmods.dev/badge/skills/frankxai/awesome-gamification-agent-skills/unity-progression-system.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00054 | $0.00339 |
| Opus 5 | $0.00027 | $0.00169 |
| Sonnet 5 | $0.00011 | $0.00068 |
| Haiku 4.5 | $0.00005 | $0.00034 |
Grade A, and why
unity-progression-system 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 11d 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.
What it actually says
Unity Progression System
Use this skill to map Markdown-first progression specs into Unity implementation plans.
Workflow
- Identify the source Markdown artifacts: tracks, nodes, trials, rewards, loadouts.
- Separate static design data from mutable runtime state.
- Map static data to ScriptableObject definitions.
- Map runtime progress to save data, backend state, or an append-only ledger.
- Define validation rules for graph integrity.
- Define UI states for locked, available, in-progress, complete, failed, and mastered.
- Define telemetry events before implementation.
Unity Mapping
| Concept | Unity artifact |
|---|---|
| Track | SkillTrackDefinition : ScriptableObject |
| Node | SkillNodeDefinition : ScriptableObject |
| Trial | TrialDefinition : ScriptableObject |
| Reward | RewardDefinition : ScriptableObject |
| Progress | save data or backend record |
| Event | analytics or JSONL ledger |
Quality Gates
- Do not store mutable player progress in ScriptableObjects.
- Detect circular dependencies.
- Detect unreachable nodes.
- Keep reward effects testable.
- Keep designer-editable data separate from behavior code.
Output Shape
- Unity data model.
- ScriptableObject class list.
- Runtime state model.
- Validation checklist.
- Example Markdown-to-Unity mapping.
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.
- 11d ago First seen · 47 lines · 54 tokens per session scan A 04d0e1fde062
unity-progression-system is a skill published in the GitHub repository frankxai/awesome-gamification-agent-skills (0 stars, last pushed 4d ago), licensed MIT. It adds 54 tokens to every session and 339 once invoked, about $0.0003 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 2026-09-01.
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