remember:ask

A natural-language question tool for searching a personal “second brain,” a collection of stored notes. It rewrites the question into useful searches and produces an answer with references to the matching notes.

In plain words
What is it for?
Use it to ask questions about information saved in the knowledge store and receive a synthesized answer with citations.
Why use it?
It avoids manually searching through folders and helps turn scattered notes into a direct answer. If the required search connection is unavailable, it reports that instead of guessing.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/remember-md/remember/ask
Any agent
npx skills add remember-md/remember --skill ask
Clone the repo
git clone --depth 1 https://github.com/remember-md/remember

Made for: Claude Code, Codex.

Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,074 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00045 $0.02074
Opus 5 $0.00023 $0.01037
Sonnet 5 $0.00009 $0.00415
Haiku 4.5 $0.00005 $0.00207

Measured yesterday against content hash 7a083ca703a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

remember:ask 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 yesterday.

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.

skills/ask/SKILL.md · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/remember:ask — Ask the Brain

Wraps the mcp__remember__search_brain MCP tool with: query reformulation, multi-call retry, citation-rich answer synthesis, and honest "not found" handling.

Prerequisite

The @remember-md/mcp server must be configured in the host's MCP config (added automatically by /remember:init since plugin v2.5.0). The tool mcp__remember__search_brain must be available in this session. If it isn't:

⚠️ The brain search MCP server isn't connected. Run `/remember:init` to
auto-configure, then restart Claude Code.

Don't proceed without the tool — there's no fallback in v1.


Step 1: Parse the user's question

The slash command is invoked as /remember:ask <question>. If the question is empty or only the slash command itself, ask the user what they want to know and stop.

Note the user's language (Romanian / English / mixed). Final answer will mirror the user's language unless content forces English (e.g., technical terms).

Step 2: Reformulate the query

Convert the natural-language question into a topical search phrase that matches how the brain is actually written. Apply these rules (also documented in the search_brain tool description — read it before this step):

  • 3–7 words, declarative noun-phrase
  • Strip stopwords + question words ("what", "how", "ce", "cum", "do I", "am I")
  • Keep nouns, concepts, proper names
  • Language match the content, not the question. Technical notes in this brain are usually English. Personal/strategic/relational notes are usually Romanian. If unsure, plan to try both languages (Step 3 retry).

Quick reformulation table

User says Reformulated query
"what do I think about postgres for small projects" postgres small projects preferences
"who works on dollie" dollie project people contributors
"ce decizii am luat în martie" decisions march 2026
"ce stiu despre cezar" cezar (proper name; let BM25 + wikilinks carry it)
"cum lucrez în paralel pe proiecte" multiple parallel projects orchestration
"what's my strategic direction for 2026" strategic direction 2026 priorities
"ce zice persona despre comunicare" SKIP — Persona is already in your session context

Read the full file on GitHub · 178 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. yesterday First seen · 178 lines · 45 tokens per session scan A 7a083ca703a7

Subscribe to this mod's changes

remember:ask is a skill published in the GitHub repository remember-md/remember (58 stars, last pushed 3mo ago), licensed MIT. It adds 45 tokens to every session and 2,074 once invoked, about $0.0002 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.

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