memory-search

memory-search is a skill for Claude Code from iBrain-BVBA/gutt-claude-code-plugin. It costs 103 tokens per session (2,081 once invoked), scanned A, original, MIT.

A tool for searching an organisation’s stored knowledge about past decisions, work, lessons, and ownership before starting a substantial task.

In plain words
What is it for?
Use it to look up what happened before, why a choice was made, who owns something, or which patterns and lessons apply.
Why use it?
It reduces repeated work and prevents decisions or lessons from earlier projects being missed.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the gutt-pro plugin — 12 skills, 10 commands, 1 agent, 5 hooks shipped together

Good fit Use it to look up what happened before, why a choice was made, who owns something, or which patterns and lessons apply.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ibrain-bvba/gutt-claude-code-plugin/memory-search
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.

Any agent
npx skills add iBrain-BVBA/gutt-claude-code-plugin --skill memory-search
Clone the repo
git clone --depth 1 https://github.com/iBrain-BVBA/gutt-claude-code-plugin

Made for: Claude Code.

Or install gutt-pro, the plugin that ships this one along with the rest of its 12 skills, 10 commands, 1 agent, 5 hooks.

Wrote 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.

agentmods badge for memory-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/ibrain-bvba/gutt-claude-code-plugin/memory-search/github.svg)](https://agentmods.dev/skills/ibrain-bvba/gutt-claude-code-plugin/memory-search)
Your own site
<a href="https://agentmods.dev/skills/ibrain-bvba/gutt-claude-code-plugin/memory-search"><img src="https://agentmods.dev/badge/skills/ibrain-bvba/gutt-claude-code-plugin/memory-search/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.

agentmods 80×15 button for memory-search

Your own site · 80×15
<a href="https://agentmods.dev/skills/ibrain-bvba/gutt-claude-code-plugin/memory-search"><img src="https://agentmods.dev/badge/skills/ibrain-bvba/gutt-claude-code-plugin/memory-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,081 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00103 $0.02081
Opus 5.5 $0.00041 $0.00832
Sonnet 5.5 $0.00021 $0.00416
Haiku 4.5 $0.00010 $0.00208

Measured 1mo ago against content hash 55d7bb4d88bf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

memory-search 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.

gutt-core/skills/memory-search/SKILL.md · 150 lines

How it starts

The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.

How every agent should read the gutt knowledge graph: one strong first pass, judged for relevance, deepened only when it falls short. This is the most-used memory operation and the foundation skill — other memory skills cross-reference it rather than restate it. Its job is to surface the answer as fast as possible when it exists, and to say so plainly when it doesn't.

Hard rules (non-negotiable — read first)

  1. One adaptive pass first. Open with a single pass — search_memory_nodes and search_memory_facts in parallel, on your best phrasing. Never open with traversal, schema calls, or fetch_lessons_learned.
  2. Relevance gate. Answer only from results that genuinely fit the question. If nothing on-topic comes back, say "no relevant memory found" — never assemble an answer out of loosely-matching distractors.
  3. Reformulate, don't paginate. If the first pass is weak, rephrase the query and re-run nodes+facts (up to 2 more times, accumulating). Stop early if a rephrase returns essentially the same weak results. Never fetch page 2 just because has_more is true — a different phrasing beats pagination. The identifier pair (rule 7) inverts this: a rephrase leaves the exact route and cannot stand in for a pair that came back empty — report that as its own finding, never with the near-miss keys a phrasing returned — and a pair with has_more is paged, because the route matches a term rather than ranking by meaning.
  4. Summary-first. Read summaries (node summary, lesson summary, search title) before fetching any full episode body. Full bodies only to cite or recover a crucial missing detail.
  5. Count caps, not truncation. No summary_only / max_chars parameter exists — bound context with max_nodes / max_facts / limit and by choosing summary-shaped tools. Never invent a truncation flag.
  6. Bare tool names. Call search_memory_nodes etc. by bare name; the mcp__…__ prefix varies per install — use whatever your tool list surfaces.
  7. Identifier lane. When the question carries an identifier — a prefix of up to ten characters, a hyphen and digits, whether the user typed it or you lifted it from the ticket, report or result in hand — call both search_memory_nodes and search_memory_facts with that identifier as the entire query and no agent_id, center_node_id or center_on_user. Any extra word, and any of those three, drops the call off the exact route and onto look-alike keys. One pair per identifier, first, and in addition to the phrasings — never instead of them. A list of items is not one question: a skill working through a slice says which of its keys get a pair, and when.

Read the full file on GitHub · 150 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · +25 lines 55d7bb4d88bf
  2. 1mo ago First seen · 125 lines · 103 tokens per session scan A dfb04b2704da

Subscribe to this mod's changes

memory-search is a skill published in the GitHub repository iBrain-BVBA/gutt-claude-code-plugin (5 stars, last pushed 1mo ago), licensed MIT. It adds 103 tokens to every session and 2,081 once invoked, about $0.0004 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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