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 zhuzhaoyun/Molio --skill wiki-ingestgit clone --depth 1 https://github.com/zhuzhaoyun/MolioWrote 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/zhuzhaoyun/molio/wiki-ingest)<a href="https://agentmods.dev/skills/zhuzhaoyun/molio/wiki-ingest"><img src="https://agentmods.dev/badge/skills/zhuzhaoyun/molio/wiki-ingest/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/zhuzhaoyun/molio/wiki-ingest"><img src="https://agentmods.dev/badge/skills/zhuzhaoyun/molio/wiki-ingest.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 | $0.00000 | $0.03711 |
| Opus 5.5 | $0.00000 | $0.01484 |
| Sonnet 5.5 | $0.00000 | $0.00742 |
| Haiku 4.5 | $0.00000 | $0.00371 |
Grade A, and why
wiki-ingest 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 today.
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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- today Changed · +1 lines 5b45e858b55b
- yesterday Changed 10d5f32fe0fb
- 7d ago Changed · +2 lines 8b364d72d7bb
- 1mo ago Changed acb3634ef95d
- 1mo ago First seen · 186 lines · 0 tokens per session scan A 8a2bf4dbb9a7
wiki-ingest is a skill published in the GitHub repository zhuzhaoyun/Molio (434 stars, last pushed yesterday), with no licence file. It costs nothing until one of its globs matches a file; then it loads 3,711 tokens. 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.
Other skills, from other repositories
enzyme-sqlite-source
Connect an unfamiliar SQLite database to Enzyme without changing the source data. Inspect the database, decide which query columns represent identity, people, time, content, and folders, show real examples for approval, save a workspace program in the Enzyme language, and verify init and refresh. Use for email…
enzyme-workspace-setup
Set up or check Enzyme in a Markdown workspace. Use for first setup, re-setup, diagnosis, or requested cleanup; existing Enzyme files do not prove setup is complete. Write settings from the user's own map of their notes, review them with the user, demonstrate an answer from real notes, and repair only an evidenced…
enzyme
Use Enzyme in an already activated Obsidian, Markdown, or Hermes workspace for working-memory retrieval, source-grounded exploration, search by keyword and meaning, runtime note-writing, and refresh. If the workspace is not initialized, follow the first-time setup section before normal retrieval.
weekly
Run the weekly review of the big-brain second brain: triage the inbox, walk active projects, reschedule or drop overdue tasks, check vault health, and write a review summary. Use when the user types /weekly, or asks for a "weekly review", "review my projects", "clean up my brain", "triage my inbox".
brain
Orient in the user's big-brain second brain and work brain-aware for the rest of the session. Use when the user types /brain, or asks "what am I working on", "what's on my plate", "catch me up", "what's overdue", or at the start of a session about ongoing work. Loads the vault overview, reports it in one screen, and…
capture
Quick-capture a thought, idea, link, or fact into the big-brain second brain's inbox. Use when the user types /capture , or says "note this down", "remember this in my brain", "add to my inbox", "capture this idea". Zero-friction: file it now, organize later.