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 md-skill-tree-architectgit 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/md-skill-tree-architect)<a href="https://agentmods.dev/skills/frankxai/awesome-gamification-agent-skills/md-skill-tree-architect"><img src="https://agentmods.dev/badge/skills/frankxai/awesome-gamification-agent-skills/md-skill-tree-architect/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/md-skill-tree-architect"><img src="https://agentmods.dev/badge/skills/frankxai/awesome-gamification-agent-skills/md-skill-tree-architect.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 | $0.00058 | $0.00283 |
| Opus 5.5 | $0.00023 | $0.00113 |
| Sonnet 5.5 | $0.00012 | $0.00057 |
| Haiku 4.5 | $0.00006 | $0.00028 |
Grade A, and why
md-skill-tree-architect 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
Markdown Skill Tree Architect
Use this skill to design portable skill trees that live in git as Markdown.
Workflow
- Define the audience and capability promise.
- Choose axes and ranks.
- Create track files.
- Create node files with prerequisites and acceptance criteria.
- Create trial files for rank-up.
- Create reward files that unlock useful work.
- Create a ledger event example.
- Add validation checks for unreachable nodes and circular prerequisites.
Frontmatter Minimum
---
id: stable-id
type: track | node | trial | reward
status: draft | active | deprecated
visibility: public | unlisted | private
version: 0.1.0
---
Quality Gates
- Every node must teach or unlock one capability.
- Every trial must have objective acceptance criteria.
- Every reward must change what can be done.
- Keep lore names separate from platform names.
Output Shape
- Folder map.
- Track outline.
- Node cards.
- Trial cards.
- Reward cards.
- Validation checklist.
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 · 49 lines · 58 tokens per session scan A a3e4b7cb43ca
md-skill-tree-architect is a skill published in the GitHub repository frankxai/awesome-gamification-agent-skills (1 stars, last pushed 18d ago), licensed MIT. It adds 58 tokens to every session and 283 once invoked, about $0.0002 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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