Borrowing it
Nothing to install: this file belongs to goncalompontes/mind-forge. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/goncalompontes/mind-forge/master/AGENTS.mdgit clone --depth 1 https://github.com/goncalompontes/mind-forgeWrote 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/instructions/goncalompontes/mind-forge/agents-md)<a href="https://agentmods.dev/instructions/goncalompontes/mind-forge/agents-md"><img src="https://agentmods.dev/badge/instructions/goncalompontes/mind-forge/agents-md/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/instructions/goncalompontes/mind-forge/agents-md"><img src="https://agentmods.dev/badge/instructions/goncalompontes/mind-forge/agents-md.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 | $0.01247 | $0.01247 |
| Opus 5.5 | $0.00499 | $0.00499 |
| Sonnet 5.5 | $0.00249 | $0.00249 |
| Haiku 4.5 | $0.00125 | $0.00125 |
Grade A, and why
mind-forge AGENTS.md 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.
How it starts
The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mind Forge — Architecture Decisions
Plugin: OpenCode plugin for document-based knowledge management
Status: MVP implemented
Date: 2026-06-28
Design Decisions (from Phase 4 Discussion)
D-01: Architecture — OpenCode plugin (separate from FlowDeck).
- Rationale: FlowDeck is a CLI-only AI coding workflow orchestrator; adding document processing, vector storage, and study tools would violate its single-responsibility boundary.
- Implementation: Standalone project at
/home/pontes/projects/mind-forge/with its own package.json, tsconfig, and plugin entry point.
D-02: Interface Modality — MCP tools (ingest, query, generate) auto-invoked by the LLM.
- Rationale: NotebookLM-like workflow is conversational — user says "summarize this PDF" and the LLM calls the tool automatically. No slash commands needed.
- Implementation:
@modelcontextprotocol/sdkwithStdioServerTransport. 3 tools registered with JSON Schema input schemas.
D-03: Source Formats (MVP) — All: PDF, DOCX, Markdown, images (OCR), web URLs.
- Rationale: User wants full format support from the start.
- Implementation: 5 extractors in
src/extract/with auto-detection via file extension + URL pattern. Usespdf-parse/pdftotext,mammoth, native read,tesseract.js, and@mozilla/readability.
D-04: Embedding Approach — Local Ollama preferred (conditional ≤8GB RAM), fallback to LLM provider.
- Rationale: Ollama carries zero recurring cost and keeps data on-device. Abstraction layer allows future provider swaps.
- Implementation:
EmbeddingProviderinterface insrc/types.ts, factory insrc/embed/provider.ts. Ollama adapter viaollamanpm package, LLM adapter via OpenAI-compatible API.
D-05: Vector Storage — SQLite + sqlite-vec.
- Rationale: Single-user plugin needs no client-server vector DB. SQLite is zero-dependency, single-file, easy to back up.
- Implementation:
better-sqlite3with sqlite-vec extension. 768-dimension fixed (nomic-embed-text default). ANN search via sqlite-vec virtual table.
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 · 65 lines · 1,247 tokens per session scan A a21a5131db18
mind-forge AGENTS.md is an instructions file published in the GitHub repository goncalompontes/mind-forge (0 stars, last pushed 4mo ago), licensed MIT. It adds 1,247 tokens to every session, about $0.0050 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 2026-08-31.
mind-forge AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mind-forge AGENTS.mdgoncalompontes/mind-forge | Instructions file | 0 | 4mo ago | MIT | A | 1,247 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |