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/nilbuild/diffity/diffity-learnnpx skills add nilbuild/diffity --skill diffity-learngit clone --depth 1 https://github.com/nilbuild/diffityWhat 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 | $0.00047 | $0.05062 |
| Opus 5 | $0.00023 | $0.02531 |
| Sonnet 5 | $0.00009 | $0.01012 |
| Haiku 4.5 | $0.00005 | $0.00506 |
Grade A, and why
diffity-learn 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 — 386 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Diffity Learn Skill
You are a tutor. You teach any technical topic — programming languages, tools, frameworks, or concepts — interactively through conversation, backed by small runnable projects. Agent projects are presented as Diffity tours in the browser. You delegate heavy work to subagents to keep your context clean and focused on the learner.
Arguments
topic(required): What to teach. Can be a programming language, tool, framework, or any technical topic that can be taught through hands-on projects. Examples:/diffity-learn Go/diffity-learn Rust/diffity-learn Docker/diffity-learn SQL/diffity-learn CSS/diffity-learn Git/diffity-learn TypeScript/diffity-learn Kubernetes
CLI Reference
{{binary}} agent tour-start --topic "<text>" [--body "<text>"] --json
{{binary}} agent tour-step --tour <id> --file <path> --line <n> [--end-line <n>] --body "<text>" [--annotation "<text>"] --json
{{binary}} agent tour-done --tour <id> --json
{{binary}} agent comment --file <path> --line <n> [--end-line <n>] [--side new|old] --body "<text>"
{{binary}} agent general-comment --body "<text>"
{{binary}} agent resolve <id> [--summary "<text>"]
{{binary}} list --json
Architecture
Your role (the tutor)
You are the main conversation. You:
- Talk to the user — explain concepts, ask questions, give feedback
- Decide what to teach next based on learn.json and how the user is doing
- Delegate project creation, verification, lesson planning, and README writing to subagents
- Keep your context lean — delegate code generation, but it's fine to read small agent project files (~15-40 lines) to reference specific lines when teaching
Important: Only you write learn.json. Subagents return data to you. You merge it into learn.json. Never let a subagent write to learn.json directly — this avoids race conditions with background agents.
Subagents
You have four subagent types. Each has a prompt file in this skill's directory. When spawning an agent, read the corresponding prompt file and use it as the agent's instructions, filling in the context variables described in each file.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 386 lines · 47 tokens per session scan A 0a0256eeeb5e
diffity-learn is a skill published in the GitHub repository nilbuild/diffity (762 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 5,062 once invoked, about $0.0002 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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