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 7xmohamed/Kata --skill learngit clone --depth 1 https://github.com/7xmohamed/KataWrote 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/7xmohamed/kata/learn)<a href="https://agentmods.dev/skills/7xmohamed/kata/learn"><img src="https://agentmods.dev/badge/skills/7xmohamed/kata/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/7xmohamed/kata/learn"><img src="https://agentmods.dev/badge/skills/7xmohamed/kata/learn.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 | $0.00030 | $0.01533 |
| Opus 5.5 | $0.00012 | $0.00613 |
| Sonnet 5.5 | $0.00006 | $0.00307 |
| Haiku 4.5 | $0.00003 | $0.00153 |
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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- `/read` missing -- Phase 1 fetch falls back to native `WebFetch` / `curl`; coverage on paywalled, JS-heavy, and Chinese-platform pages degrades. How it starts
The opening of the file, as written. The whole thing — 117 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.
Collect, organize, translate, explain, structure. Support the user's thinking; do not replace it.
Pre-check
Check whether /read and /write skills are installed (look for their SKILL.md in the skills directories). Warn if missing, do not block:
/readmissing -- Phase 1 fetch falls back to nativeWebFetch/curl; coverage on paywalled, JS-heavy, and Chinese-platform pages degrades./writemissing -- Phase 5 AI-pattern stripping falls back to manual scan. Phases 1-4 are unaffected.
Choose Mode
Ask the user to confirm the mode, using the environment's native question or approval mechanism if it has one:
| 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 |
If unsure, suggest Quick Reference.
Phase 1: Collect
Gather primary sources only: papers that introduced key ideas, official lab/product blogs, posts from builders, canonical "build it from scratch" repositories. Not summaries. Not explainers.
Three ordered steps per source -- no shortcuts, no merging:
- Discover -- use an installed search plugin (e.g., PipeLLM) to map the landscape, then deep-search the 2-3 most promising sub-topics. No plugin: use the environment's native web search. Output is a URL list; do not fetch content here.
- Fetch -- every URL goes through
/read./readalready owns the proxy cascade, paywall detection, and platform routing (WeChat, Feishu, PDF, GitHub).WebFetchand rawcurlsilently fail on JS-heavy or paywalled sites and skip all of that. If/readis missing (Pre-check warned), fall back to native fetch and accept reduced coverage. - File --
/readsaves to~/Downloads/{title}.md. Move each file into a sub-topic directory under the research project after the fetch returns. Move, don't refetch.
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 · 117 lines · 30 tokens per session scan A 0dc320942b5f
learn is a skill published in the GitHub repository 7xmohamed/Kata (1 stars, last pushed 4mo ago), licensed MIT. It adds 30 tokens to every session and 1,533 once invoked, about $0.0001 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 2026-08-31.
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