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.
git clone --depth 1 https://github.com/Spark-To-Paper-Skills/paper-wikiWrote 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/commands/spark-to-paper-skills/paper-wiki/wiki-ask)<a href="https://agentmods.dev/commands/spark-to-paper-skills/paper-wiki/wiki-ask"><img src="https://agentmods.dev/badge/commands/spark-to-paper-skills/paper-wiki/wiki-ask/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/commands/spark-to-paper-skills/paper-wiki/wiki-ask"><img src="https://agentmods.dev/badge/commands/spark-to-paper-skills/paper-wiki/wiki-ask.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 | $0.00014 | $0.00096 |
| Opus 5 | $0.00007 | $0.00048 |
| Sonnet 5 | $0.00003 | $0.00019 |
| Haiku 4.5 | $0.00001 | $0.00010 |
Grade A, and why
wiki-ask 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 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.
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.
What it actually says
Tell the user that wiki-ask is a retired compatibility alias and continue by
running the built-in paper-wiki wiki-teach action with the same question.
Do not redirect to an external /teach skill. Query behavior belongs to
paper-wiki and is defined by commands/wiki-teach.md plus the canonical project
rules in WIKI.md.
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 First seen · 11 lines · 14 tokens per session scan A cc7cc3f29077
wiki-ask is a command published in the GitHub repository Spark-To-Paper-Skills/paper-wiki (7 stars, last pushed 28d ago), licensed MIT. It adds 14 tokens to every session and 96 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
train
Train a brain locally — an agentic study session, the server only stores notes.
learn-url
Build a mozg brain from one documentation link — crawl, extract, exam.
teach
Interview the user to close a brain's exam gaps, and write the answers in.
init
Scaffold a new MindBase project (v2 layout). Usage: /mb:init [template] [-- mission ...].
ask
Query the MindBase wiki — cited answer using hybrid search + graph expansion. Usage: /mb:ask [-p ] [--all-projects].
export
Export a project to a portable bundle. Usage: /mb:export [-p ] [target].