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 agent-progression-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/agent-progression-designer)<a href="https://agentmods.dev/skills/frankxai/awesome-gamification-agent-skills/agent-progression-designer"><img src="https://agentmods.dev/badge/skills/frankxai/awesome-gamification-agent-skills/agent-progression-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/agent-progression-designer"><img src="https://agentmods.dev/badge/skills/frankxai/awesome-gamification-agent-skills/agent-progression-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 | $0.00068 | $0.00258 |
| Opus 5.5 | $0.00027 | $0.00103 |
| Sonnet 5.5 | $0.00014 | $0.00052 |
| Haiku 4.5 | $0.00007 | $0.00026 |
Grade A, and why
agent-progression-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 1mo 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
Agent Progression Designer
Use this skill to design agent progression that proves capability rather than rewarding noise.
Workflow
- Identify the agent role and task domain.
- Define progression axes: knowledge, craft, judgment, stewardship, throughput, collaboration, productization.
- Define evidence events that count toward XP.
- Define trials that prove rank-up readiness.
- Define autonomy unlocks and renewal requirements.
- Add anti-abuse rules.
- Output Markdown cards and ledger event examples.
Quality Gates
- No XP without evidence.
- No global rank that hides actual strengths and weaknesses.
- Advanced autonomy requires recent accepted work.
- Failed trials create repair tasks.
- Stewardship and risk-catching must count as real progress.
Output Shape
- Agent role card.
- Progression axes.
- Rank table.
- Trial definitions.
- Ledger event examples.
- Autonomy unlock policy.
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.
- 1mo ago First seen · 37 lines · 68 tokens per session scan A 36bb66edfd7f
agent-progression-designer is a skill published in the GitHub repository frankxai/awesome-gamification-agent-skills (1 stars, last pushed 18d ago), licensed MIT. It adds 68 tokens to every session and 258 once invoked, about $0.0003 per session on Opus 5.5. 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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