Waza is a collection of installed skills that turn familiar engineering practices into repeatable playbooks for coding agents. It helps agents plan work, design interfaces, review changes, debug problems, edit prose, research unfamiliar subjects, read URLs or PDFs, and check their own health. The catalogue entries are Waza’s skills and supporting agents or instructions.
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 tw93/Waza --skill learngit clone --depth 1 https://github.com/tw93/WazaWrote 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/tw93/waza/learn)<a href="https://agentmods.dev/skills/tw93/waza/learn"><img src="https://agentmods.dev/badge/skills/tw93/waza/learn/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/tw93/waza/learn"><img src="https://agentmods.dev/badge/skills/tw93/waza/learn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00039 | $0.01869 |
| Opus 5.5 | $0.00016 | $0.00748 |
| Sonnet 5.5 | $0.00008 | $0.00374 |
| Haiku 4.5 | $0.00004 | $0.00187 |
Grade A, and why
learn scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
2. **Fetch** -- every URL goes through `/read` when available. `/read` owns the proxy cascade, paywall detection, and platform routing (WeChat, Feishu, PDF, GitHub). Native fetch tools and raw `curl` silently fail on JS- Copies of this mod
1 near-identical copy found in the catalogue:
- learn — 100% identical, 41 lines differ
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Learn: From Raw Materials to Published Output
Prefix your first line with 🥷 inline, not as its own paragraph.
Support the user's thinking; do not replace it.
Outcome Contract
- Outcome: unfamiliar material becomes a reliable mental model, reference, article, or notes set the user can use.
- Done when: primary sources are collected or supplied, contradictions are handled explicitly, and the final structure teaches the topic without hiding uncertainty.
- Evidence: source URLs or files, fetched content, notes from digestion, outline decisions, and self-review against the requested output.
- Output: research notes, outline, publish-ready draft, or canonical reference, matching the chosen mode.
Boundary: single URL that only needs fetching belongs in /read. A single URL that needs summary or analysis can use /read as the fetch step, but the final answer should satisfy the user's requested summary or analysis. /learn is for multi-source research that produces a new structured output.
Choose Mode
Infer the mode from the requested artifact and supplied materials. Ask only when plausible modes would change the scope or deliverable and the user's intent does not resolve the choice:
| Mode | Goal | Entry | Exit |
|---|---|---|---|
| Deep Research | Understand a domain well enough to write about it | Phase 1 | Phase 6: publish-ready draft |
| Quick Reference | Build a working mental model fast, no article planned | Phase 2 | Phase 2: notes only |
| Write to Learn | Already have materials, force understanding through writing | Phase 3 | Phase 6: publish-ready draft |
| Canonical Article | One article that covers a topic so thoroughly readers need nothing else | Phase 1 | Phase 6: single authoritative reference |
If unsure, suggest Quick Reference.
Canonical Article Mode
Activate when: "一篇就够", "一站式参考", "整理成长文", "目的是大家只需要看这篇就好了", or the user wants a single authoritative reference on a topic.
Goal: after reading the article, no one should need to search for anything else on this topic.
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 Changed · +4 lines 92c82660b3aa
- 22d ago Changed · -14 lines 5e46fb9f7725
- 1mo ago Changed · -29 tokens per session 014ea4db0efd
- 1mo ago Changed 5998bb034328
- 1mo ago Changed · -1 lines 4fba2661714c
- 1mo ago First seen · 124 lines · 68 tokens per session scan A 21af36f6f507
learn is a skill published in the GitHub repository tw93/Waza (7,318 stars, last pushed 3d ago), licensed MIT. It adds 39 tokens to every session and 1,869 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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