mindgap: Instructions file for Codex

AGENTS.md

mindgap AGENTS.md is an instructions file for Codex, OpenCode from grburgess/mindgap. It costs 1,771 tokens per session, scanned A, original, MIT.

A set of project instructions for adding knowledge to the Mindgap graph, including rules for checking existing information and linking new entries.

In plain words
What is it for?
Use it when an agent researches topics or writes nodes and links into a Mindgap knowledge graph.
Why use it?
It reduces duplicate or incomplete knowledge and keeps added information traceable to its sources.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

This is grburgess/mindgap's own configuration. It tells Codex and OpenCode how to work on mindgap itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything mindgap configures →

Reuse

Borrowing it

Nothing to install: this file belongs to grburgess/mindgap. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/grburgess/mindgap/development/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/grburgess/mindgap

Made for: Codex, OpenCode.

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Per session 1,771 This file is loaded in full into every session.
When invoked 1,771 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01771 $0.01771
Opus 5.5 $0.00708 $0.00708
Sonnet 5.5 $0.00354 $0.00354
Haiku 4.5 $0.00177 $0.00177

Measured 1mo ago against content hash 1cfc5142b8a1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mindgap 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 1mo 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.

AGENTS.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — knowledge protocol for loop sessions

You are a loop session adding knowledge to the mindgap graph. CLI: mindgap (on PATH) or python3 -m mindgap from this repo. DB: default ~/.mindgap/mindgap.db (env MINDGAP_DB/MINDGAP_HOME override).

Two interfaces, same db: the CLI (above) and the MCP server (python3 -m mindgap.mcp, registered in .mcp.json — tools mindgap_ingest/mindgap_find/mindgap_context/mindgap_link/etc.). Prefer the MCP tools when available: mindgap_ingest enforces the rules below (rejects dangling-endpoint payloads whole, requires created_by, returns the persisted rows) so you can't silently desync. The rules in this file apply identically whichever interface you use.

MUST rules

  1. Run mindgap context "<topic>" BEFORE researching a topic — read what exists, avoid duplicates, build on existing nodes.
  2. Write via mindgap ingest - with created_by = your loop name (e.g. loop:confluence-scan) on every node and edge.
  3. Every node sourced from Confluence/GitHub/arXiv MUST carry a urls entry ({"label","url","kind"}; kind: confluence|github|arxiv|jira|web).
  4. Use [[wiki-links]] in bodies to densify the graph — each [[node-id]] auto-creates a mentions edge (stub node if target missing). Wiki-links MUST use the exact node id (check with mindgap find), not the title or a guessed slug — [[maestro]] is a dangling stub if the node is repo-maestro.
  5. Prefer upserting existing ids over creating near-duplicate new nodes — run mindgap find first (see below).
  6. Run mindgap export at session end (snapshot to ~/.mindgap/snapshots/).

Vocabularies

  • Node type: concept | definition | software | repo | page | paper | person | team | design | feature | learning | jira-ticket | todo | stub
  • Edge rel: relates_to | defines | implements | depends_on | cites | part_of | mentions | assigned_to | reported_by | resolved_by
  • Todo status: an open todo is a type='todo' node tagged neither status:done nor status:dropped — both are terminal. status:doing is in-flight work and stays open. A todo carrying no status:* tag at all is still open — some are tagged open-action instead. The rule is stated as an absence, so apply it as one wherever you can read the tag list yourself. find cannot: it matches a tag token and has no negation, so it cannot express "not done". The todo-mindmap skill therefore asks for what it can name — tag="status:open", then again tag="status:doing" — which is the closest approximation available through that tool and does miss a todo tagged neither. Closing one means: strip every status:* tag, append status:done (or status:dropped), and bump updated_at. Timestamps are UTC at second resolution, written with a +00:00 offset — which is what datetime.now(timezone.utc).isoformat(timespec="seconds") produces — and never a Z, which is what chrono's to_rfc3339 would give you.
  • mindtop (Rust, tui/) implements the tag/timestamp half of that closing rule: tui/src/db.rs::close_todo rewrites the tags JSON directly in SQL — strip status:*, push status:done, bump updated_at — and nothing else. It is not equivalent to a skill-driven close: the todo-mindmap skill additionally appends a **Done:** YYYY-MM-DD — <outcome> line to the body and adds a resolved_by edge when an artifact exists, neither of which close_todo writes; nor can it record status:dropped, which only the skill path can set. A todo closed from the TUI is therefore correctly out of the open set but carries no record of how. If the tag/timestamp rule above changes, close_todo must change with it; tests/test_tui_contract.py is what catches divergence — but only once the crate is built, since it skips when tui/target/debug/mindtop is absent.

Read the full file on GitHub · 124 lines

Changes

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.

  1. 1mo ago Changed · +26 lines · +537 tokens per session 1cfc5142b8a1
  2. 1mo ago Changed · -2 lines · -80 tokens per session 82e94dccfe73
  3. 2mo ago Changed · +2 lines · +102 tokens per session e56a99f0e3bb
  4. 2mo ago First seen · 98 lines · 1,212 tokens per session scan A fd64cd81b49c

Subscribe to this mod's changes

mindgap AGENTS.md is an instructions file published in the GitHub repository grburgess/mindgap (0 stars, last pushed 23d ago), licensed MIT. It adds 1,771 tokens to every session, about $0.0071 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.

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