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/zosmaai/pi-llm-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/zosmaai/pi-llm-wiki/wiki-run)<a href="https://agentmods.dev/commands/zosmaai/pi-llm-wiki/wiki-run"><img src="https://agentmods.dev/badge/commands/zosmaai/pi-llm-wiki/wiki-run/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/zosmaai/pi-llm-wiki/wiki-run"><img src="https://agentmods.dev/badge/commands/zosmaai/pi-llm-wiki/wiki-run.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 | $0.00319 |
| Opus 5 | $0.00000 | $0.00160 |
| Sonnet 5 | $0.00000 | $0.00064 |
| Haiku 4.5 | $0.00000 | $0.00032 |
Grade A, and why
wiki-run 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 9d 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
/wiki-run
Run the complete wiki maintenance cycle: discover new sources, ingest them, and lint for health.
User Arguments
$ARGUMENTS
Steps
- Discover: Use web search to find new sources on the wiki's topic, then capture each with
wiki_capture_source(url=<url>)(max 5-10). - Ingest: Call
wiki_ingest(batch_size=3)and process returned sources — read extracted.md, update source pages, create entity/concept pages, add cross-references. - Lint: Call
wiki_lint(auto_fix=false)to run a health check. - If critical gaps found → optionally run one more discover+ingest cycle.
- Save summary to
.llm-wiki/outputs/run-YYYY-MM-DD.mdusing thewritetool. - Report final summary.
Scheduling
If --schedule is provided, call wiki_watch(interval=<daily|weekly|hourly>).
Important: wiki_watch does NOT install a schedule. It only prints a crontab line.
Report the printed line to the user verbatim and tell them to install it themselves with
crontab -e. Do not claim the schedule is active until they confirm they have done so.
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.
- 9d ago First seen · 32 lines · 0 tokens per session scan A 789e9ee1db55
wiki-run is a command published in the GitHub repository zosmaai/pi-llm-wiki (562 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 319 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 commands, from other repositories
build
Rebuild context.md for a project from sources/. Usage: /mb:build [-p ] [project-id].
lint
Run health check on a project — orphans, contradictions, stale claims, gaps, suggested cross-links. Usage: /mb:lint [-p ] [project-id].
ask
Query the MindBase wiki — cited answer using hybrid search + graph expansion. Usage: /mb:ask [-p ] [--all-projects].
load
Explicitly load a project's context into session (overrides SessionStart hook). Usage: /mb:load [project-id].
init_newbrain
Onboarding interativo que personaliza AGENTS.md, Memória/ e a estrutura inicial do vault.
vault_gc
Manutenção semanal do vault: arquiva handovers antigos, valida Memória/INDEX.md e triage do INBOX.