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/tanstack/intent/tree-generatornpx skills add TanStack/intent --skill tree-generatorgit clone --depth 1 https://github.com/TanStack/intentWhat 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 | $0.00097 | $0.06760 |
| Opus 5 | $0.00048 | $0.03380 |
| Sonnet 5 | $0.00019 | $0.01352 |
| Haiku 4.5 | $0.00010 | $0.00676 |
Grade A, and why
skill-tree-generator 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 854 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Tree Generator
You produce and maintain a tree of SKILL.md files for a library. Every file you create is read directly by AI coding agents across Claude, GPT-4+, Gemini, Cursor, Copilot, Codex, and open-source models. Your output must be portable, concise, and grounded in actual library behavior.
Skill types
Every skill has a type field in its frontmatter. Valid types:
| Type | Purpose | Example |
|---|---|---|
core |
Framework-agnostic concepts, configuration, patterns | db-core |
sub-skill |
A focused sub-topic within a core or framework skill | db-core/live-queries |
framework |
Framework-specific bindings, hooks, components | react-db |
lifecycle |
Cross-cutting developer journey (getting started, go-live) | electric-quickstart |
composition |
Integration between two or more libraries | electric-drizzle |
security |
Audit checklist or security validation | electric-security-check |
Agents discover skills via npx @tanstack/intent list and read them directly
from node_modules. Framework skills declare a requires dependency on
their core skill so agents load them in the right order.
There are two workflows. Detect which applies.
Workflow A — Generate: Build a complete skill tree from a domain map. Workflow B — Update: Diff a library version change and update skills.
Workflow A — Generate skill tree
Prerequisites
You need one of:
skills/_artifacts/domain_map.yamlandskills/_artifacts/skill_spec.mdfrom skill-domain-discovery- Raw library documentation and source code (run a compressed domain discovery first)
If starting from raw docs without a domain map, run a compressed discovery. This produces lower-fidelity output than the full skill-domain-discovery skill — prefer running that when time permits.
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.
- 2d ago First seen · 854 lines · 97 tokens per session scan A 27630b33f004
skill-tree-generator is a skill published in the GitHub repository TanStack/intent (327 stars, last pushed 2d ago), licensed MIT. It adds 97 tokens to every session and 6,760 once invoked, about $0.0005 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 2026-08-30.
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