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 arcanea-mastery-engine-designergit 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/arcanea-mastery-engine-designer)<a href="https://agentmods.dev/skills/frankxai/awesome-gamification-agent-skills/arcanea-mastery-engine-designer"><img src="https://agentmods.dev/badge/skills/frankxai/awesome-gamification-agent-skills/arcanea-mastery-engine-designer/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/arcanea-mastery-engine-designer"><img src="https://agentmods.dev/badge/skills/frankxai/awesome-gamification-agent-skills/arcanea-mastery-engine-designer.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 | $0.00083 | $0.00343 |
| Opus 5 | $0.00042 | $0.00171 |
| Sonnet 5 | $0.00017 | $0.00069 |
| Haiku 4.5 | $0.00008 | $0.00034 |
Grade A, and why
arcanea-mastery-engine-designer 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
Arcanea Mastery Engine Designer
Use this skill to turn Arcanea creation work into evidence-based progression.
Workflow
- Identify the target: creator, world, agent, skill, product, or swarm.
- Choose the lane: Academy, Forge, Armory, Trials, Codex, Swarm, or Citadel.
- Define the capability that progression should prove.
- Define artifacts and evidence.
- Define the rank or tier ladder.
- Define Trials and repair paths.
- Define world-repo writeback paths.
- Define privacy and publication boundaries.
Arcanea Gates
- Canon: honors laws, characters, visual DNA, and continuity.
- Agency: unlocks a new meaningful action.
- Evidence: points to artifact, commit, eval, release, or ledger.
- Memory: writes meaningful state when appropriate.
- Stewardship: protects private memory, user work, and IP.
- Product: moves toward a usable book, game, pack, course, or tool.
Output Shape
- Target and lane.
- Rank or tier model.
- XP axes.
- Trial definitions.
- Reward/unlock model.
- Ledger event examples.
- World-repo file paths.
- Risks and repair quests.
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 · 41 lines · 83 tokens per session scan A b001bf1ac821
arcanea-mastery-engine-designer is a skill published in the GitHub repository frankxai/awesome-gamification-agent-skills (0 stars, last pushed 4d ago), licensed MIT. It adds 83 tokens to every session and 343 once invoked, about $0.0004 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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