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 agentmods add commands/frankchu91/mindbase-llm-wiki/buildgit clone --depth 1 https://github.com/frankchu91/mindbase-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/frankchu91/mindbase-llm-wiki/build)<a href="https://agentmods.dev/commands/frankchu91/mindbase-llm-wiki/build"><img src="https://agentmods.dev/badge/commands/frankchu91/mindbase-llm-wiki/build.svg" alt="Measured on agentmods" 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 | $0.00026 | $0.00359 |
| Opus 5 | $0.00013 | $0.00179 |
| Sonnet 5 | $0.00005 | $0.00072 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
build 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 5d 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
Rebuild the curated context.md for a MindBase project.
Arguments: $ARGUMENTS
Parse in order:
--project <id>or-p <id>flag → target project id.- First positional arg (if not a flag) → target project id (fallback).
- If neither present → uses
config.jsoncurrentProjectId.
Important: -p / positional projectId does NOT change the current project — only routes this build. Use /mb:load <id> to change current project persistently.
Dispatch the builder sub-agent via the Task tool with subagent_type: "builder" and prompt:
Rebuild context.md for project ${resolvedProjectId}.
The builder threads projectId through every MCP call (validate_structure, gather_sources, atomic_write_context, rebuild_index, append_log). It reads project files via read-only mindbase_load_project (no side-effect on currentProjectId).
When the sub-agent returns its one-line summary, report:
✓ Build complete: <sub-agent summary>
Snapshot: state/builder/snapshots/<timestamp>.md (rollback available)
If the sub-agent reports an error (e.g., invalid project structure), surface the error verbatim and suggest /mb:validate (not yet built) or /mb:migrate.
Examples:
/mb:build→ current project/mb:build -p ai-agents→ build ai-agents, current unchanged/mb:build ai-agents→ same (positional fallback)
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.
- 5d ago First seen · 34 lines · 26 tokens per session scan A 5195de927af9
build is a command published in the GitHub repository frankchu91/mindbase-llm-wiki (95 stars, last pushed 12d ago), licensed MIT. It adds 26 tokens to every session and 359 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 2026-08-30.
Other commands, from other repositories
wiki-query
Ask questions against the wiki. Synthesizes answers from wiki pages with cross-reference citations.
wiki-req
Capture and decompose a concept into atomic, traceable wiki requirements. Clarifies ambiguous requirements, splits them into atomic pieces, and persists them as wiki/requirements/ pages with status tracking.
wiki-ingest
Process new source packets and synthesize them into wiki knowledge pages.
wiki-record
Capture the just-completed task's tool-call trajectory into the wiki as agent working-memory, then optionally distill it into a reusable skill.
wiki-retro
Save an atomic insight from the current task into the wiki. Creates a single markdown file that layered recall surfaces in future sessions.
wiki-run
Run the full wiki cycle: discover → ingest → lint. Optionally schedule for auto-updates.