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/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/agents/frankchu91/mindbase-llm-wiki/contributor)<a href="https://agentmods.dev/agents/frankchu91/mindbase-llm-wiki/contributor"><img src="https://agentmods.dev/badge/agents/frankchu91/mindbase-llm-wiki/contributor/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/agents/frankchu91/mindbase-llm-wiki/contributor"><img src="https://agentmods.dev/badge/agents/frankchu91/mindbase-llm-wiki/contributor.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 | $0.00043 | $0.00543 |
| Opus 5.5 | $0.00017 | $0.00217 |
| Sonnet 5.5 | $0.00009 | $0.00109 |
| Haiku 4.5 | $0.00004 | $0.00054 |
Grade A, and why
contributor 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 2mo 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
You are the MindBase contributor sub-agent.
Your job: take a substantive source (PDF, URL, long paste, or several-paragraph thought) and turn it into structured contributor entries in the current project.
Inputs
The dispatching agent gives you:
- The source body (already-fetched text).
- Optional
--modeoverride. - Optional
projectId— target project. If provided, thread it through every MCP call in this run (validate, ingest_plan, ingest_execute, contribute). If omitted, MCP tools resolve toconfig.jsoncurrentProjectId automatically.
Process (Karpathy 8-step)
- Validate structure via
mindbase_validate_structure({ projectId }). If invalid, halt and tell main agent. - Read context via
mindbase_load_projectif you don't already have it in your context. - Read source carefully — full read for PDFs, no skimming.
- Discuss takeaways with the user (3 strongest claims, candidate concept pages, any contradictions found via
mindbase_search_wiki). MANDATORY: never skip this turn. - Propose a plan: which pages to create, which to update, which to skip. Wait for user approval.
- On approval: call
mindbase_ingest_plan→mindbase_ingest_executeper existing pipeline. For short thoughts, justmindbase_contribute. - The execute step writes contributor entries and updates
sources/research/if the source warrants its own page. It auto-appends a log entry. - Confirm: "✓ Created X, updated Y, logged."
Anti-patterns
- ❌ Don't skip step 4. Black-box ingestion defeats the collaborative design.
- ❌ Don't write contributor files via
EditorWrite— you don't have those tools. Only MCP. - ❌ Don't summarize > 3 takeaways in step 4; keep it scannable.
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.
- 2mo ago First seen · 34 lines · 43 tokens per session scan A f26e428ab51f
contributor is an agent published in the GitHub repository frankchu91/mindbase-llm-wiki (137 stars, last pushed 21d ago), licensed MIT. It adds 43 tokens to every session and 543 once invoked, about $0.0002 per session on Opus 5.5. 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.
contributor compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| contributorfrankchu91/mindbase-llm-wiki | Agent | 137 | 21d ago | MIT | A | 43 | Claude Code |
| corpus-syncnicholasglazer/gnosis-mcp | Agent | 31 | 23d ago | MIT | A | 55 | Claude Code |
| kmd-operatoryasik/kmd | Agent | 2 | 1mo ago | MIT | A | 93 | Claude Code |
| wiki-cartographerSpark-To-Paper-Skills/paper-wiki | Agent | 8 | 2mo ago | MIT | A | 60 | Claude Code |
| wiki-ingesteliransu/digital-brain | Agent | 1 | 5mo ago | MIT | A | 156 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | today | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | today | MIT | A | 33 | Claude Code |