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Agent skill

Remnic Search

by joshuaswarren in joshuaswarren/remnic

Run a deep full-text search across every Remnic memory. An agent skill from joshuaswarren/remnic.

MITAuto-check passedBackend & APIs

Install Remnic Search

skills CLI
$ npx skills add joshuaswarren/remnic --skill remnic-search -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install joshuaswarren/remnic remnic-search --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/joshuaswarren/remnic.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/remnic-core/skills/remnic-search .claude/skills/remnic-search && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
remnic-search
GitHub stars
218
Token cost
~562 tokens
SKILL.md length
283 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

Run a deep full-text search across every Remnic memory. An agent skill from joshuaswarren/remnic.

  • Works in 5 steps: Ask the user (or the calling skill) for… → Call remnic_lcm_search with that phrase. → Group results by date or category when… → …
  • Phrases include search memories for
  • SKILL.md covers When to use, Inputs, Procedure and Efficiency plan, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Remnic Search is an agent skill from joshuaswarren/remnic. Run a deep full-text search across every Remnic memory. Trigger phrases include "search memories for", "find anything about", "deep search".

Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Backend & APIs, covering Search implementation. It works with Model Context Protocol. The repository describes itself as: Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access. The licence is MIT.

When your agent uses it

  • Phrases include search memories for
  • Find anything about

Example prompts

  • “search memories for”
  • “find anything about”
  • “deep search”
  • “/remnic-search”

Requirements

  • Pre-approved tools (allowed-tools): remnic_lcm_search

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Ask the user (or the calling skill) for the most literal phrase they expect to match.
  2. Call remnic_lcm_search with that phrase.
  3. Group results by date or category when the tool returns enough metadata.
  4. Present the top 5–10 matches with dates and short excerpts.
  5. If still nothing, say so plainly and suggest remnic-remember if the content should be captured going forward.

What it can do on your machine

Read from SKILL.md and the folder at commit 002ea68. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • remnic_lcm_search

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Remnic Search loads about 562 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 283 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~562

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from joshuaswarren/remnic at commit 002ea68, republished under its MIT licence (© joshuaswarren). 283 words, ~562 tokens.

Download SKILL.mdSave it as .claude/skills/remnic-search/SKILL.md (or your agent's skills folder).
name
remnic-search
description
Run a deep full-text search across every Remnic memory. Trigger phrases include "search memories for", "find anything about", "deep search".
allowed-tools
remnic_lcm_search

When to use

Use when a natural-language remnic-recall did not surface something the user insists exists, or when the task genuinely needs exhaustive coverage rather than a ranked summary.

Triggers:

  • "Search memories for …"
  • "Deep search on …"
  • "I know I told you about X, find it."
  • Follow-up after remnic-recall returned nothing useful.

Inputs

  • query (required) — literal phrase or keyword string; this is full-text, not semantic.
  • Optional: date range, category filter, or entity constraint if the tool supports it.

Procedure

  1. Ask the user (or the calling skill) for the most literal phrase they expect to match.
  2. Call remnic_lcm_search with that phrase.
  3. Group results by date or category when the tool returns enough metadata.
  4. Present the top 5–10 matches with dates and short excerpts.
  5. If still nothing, say so plainly and suggest remnic-remember if the content should be captured going forward.

Efficiency plan

  • Use the most specific phrase available; literal matches are cheaper than wildcarding.
  • Prefer one targeted search over several broad ones.
  • When recall already worked, do not re-run a deep search for the same topic in the same turn.

Pitfalls and fixes

  • Pitfall: Using remnic_lcm_search as the default. Fix: Start with remnic_recall; escalate to search only when recall fails.
  • Pitfall: Pasting huge result dumps. Fix: Show the top matches with excerpts, not the raw payloads.
  • Pitfall: Over-broad queries like "notes". Fix: Require at least one distinctive keyword.

Verification checklist

  • remnic_lcm_search was called only after recall fell short or the task required exhaustive matching.
  • Results were grouped by relevance/date when possible.
  • User-facing output shows excerpts, not raw blobs.
  • Legacy engram_lcm_search alias was not preferred over remnic_lcm_search.

Tool names: canonical name is remnic_lcm_search. The legacy engram_lcm_search alias remains accepted during v1.x.

© joshuaswarren, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in packages/remnic-core/skills/remnic-search of joshuaswarren/remnic.

Open the folder on GitHubat commit 002ea68

Compare with similar skills

Remnic Search next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Remnic Search compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Remnic Search this skilljoshuaswarren/remnic218—~562Automated safety check: PassMIT
Pp Benzingamvanhorn/printing-press-library2.1k—~6kAutomated safety check: NotesApache-2.0
Sealeap Tianlu Amazon AI Readable Title Structurexjli360/sealeap-amazon-skills251—~841Automated safety check: PassMIT
Engraphdevwhodevs/engraph171—~792Automated safety check: PassMIT
Neon Postgresusenotra/notra260—~4.1kAutomated safety check: NotesAGPL-3.0
Neon Postgresneondatabase/agent-skills100—~4.1kAutomated safety check: NotesApache-2.0

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More from joshuaswarren/remnic

  • Remnic Entities

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  • Remnic Memory Workflow

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  • Remnic Recall

    joshuaswarren/remnic

    Search Remnic memories by natural-language query. An agent skill from joshuaswarren/remnic.

    218 GitHub stars~556 tokensUpdated today
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  • Remnic Remember

    joshuaswarren/remnic

    Store a durable memory in Remnic so every connected agent can recall it.

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  • Remnic Status

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Works with

Categories

Questions about Remnic Search

What does Remnic Search do?

Run a deep full-text search across every Remnic memory. An agent skill from joshuaswarren/remnic. Remnic Search is an agent skill from joshuaswarren/remnic. Run a deep full-text search across every Remnic memory.

When should I use Remnic Search?

Remnic Search fits situations like: phrases include search memories for; find anything about.

How do I install Remnic Search in Claude Code?

Run `npx skills add joshuaswarren/remnic --skill remnic-search -a claude-code`. Or copy the skill folder (packages/remnic-core/skills/remnic-search in joshuaswarren/remnic) into .claude/skills/remnic-search in your project. Claude Code loads it when a task matches its description.

How do I install Remnic Search in Codex?

Run `npx skills add joshuaswarren/remnic --skill remnic-search -a codex`. Or copy the skill folder (packages/remnic-core/skills/remnic-search in joshuaswarren/remnic) into .agents/skills/remnic-search in your project. Codex loads it when a task matches its description.

Can I use Remnic Search in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add joshuaswarren/remnic --skill remnic-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/remnic-search, .gemini/skills/remnic-search, .github/skills/remnic-search and .opencode/skills/remnic-search in your project.

What does Remnic Search need to run?

SKILL.md names no scripts, command-line tools or credentials: Remnic Search is instructions for the agent only. Its frontmatter pre-approves these tools: remnic_lcm_search.

Does Remnic Search access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Remnic Search safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Remnic Search use?

Remnic Search is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Remnic Search use?

About 562 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Remnic Search?

Skills that share tags, products or a category with Remnic Search: Pp Benzinga (mvanhorn/printing-press-library, 2.1k stars), Sealeap Tianlu Amazon AI Readable Title Structure (xjli360/sealeap-amazon-skills, 251 stars), Engraph (devwhodevs/engraph, 171 stars) and Neon Postgres (usenotra/notra, 260 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Remnic Search?

joshuaswarren (a GitHub user) maintains it in joshuaswarren/remnic, which has 218 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 11, 2026.

Source: joshuaswarren/remnic on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.