A persistent knowledge store for saving decisions, patterns, project conventions, and outcomes as connected records. It can be searched across coding sessions.

Recording architectural decisions, anti-patterns, tool preferences, workflow results, and project conventions for future sessions.

It prevents useful context from being lost when a session ends, so later work can reuse earlier decisions and lessons.

remember — Skill for Claude Code by yonatangross/orchestkit

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 yonatangross/orchestkit --skill remember

Clone the repo

git clone --depth 1 https://github.com/yonatangross/orchestkit

Made for: Claude Code.

Or install ork, the plugin that ships this one along with the rest of its 111 skills, 38 commands, 36 agents, 32 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/yonatangross/orchestkit/remember/github.svg)](https://agentmods.dev/skills/yonatangross/orchestkit/remember)

Your own site

<a href="https://agentmods.dev/skills/yonatangross/orchestkit/remember"><img src="https://agentmods.dev/badge/skills/yonatangross/orchestkit/remember/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/yonatangross/orchestkit/remember"><img src="https://agentmods.dev/badge/skills/yonatangross/orchestkit/remember.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,288 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. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Excessive Agency · line 16
Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.

Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
medium Rogue Agent · line 151
Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.

Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00066	$0.02288
Opus 5.5	$0.00026	$0.00915
Sonnet 5.5	$0.00013	$0.00458
Haiku 4.5	$0.00007	$0.00229

Measured 4d ago against content hash 81f8c5938be1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

remember 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 4d 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.

plugins/ork/skills/remember/SKILL.md · 222 lines

How it starts

The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Remember - Store Decisions and Patterns

Filesystem vs MCP memory (Opus 5.5 guidance, CC 2.1.111+): Opus 5.5 reads filesystem memory reliably across multi-session work. Use that to your advantage:

Short-lived handoff state (current phase, task in-progress, pending approvals) → .claude/chain/*.json files. Small, structured, session-scoped.

Durable auto-memory (user facts, feedback, project conventions) → ~/.claude/projects/<slug>/memory/*.md files with a one-line index in MEMORY.md. Read on every session start.

Cross-session knowledge graph (typed entities + relations for query traversal) → MCP memory server (this skill's default path). Best when future sessions will search for patterns.

The three are complementary, not alternatives. Prefer fs for anything you'd want to grep; prefer MCP for anything you'd want to traverse.

Store important decisions, patterns, or context in the knowledge graph for future sessions. Supports tracking success/failure outcomes for building a Best Practice Library.

Argument Resolution

TEXT = "$ARGUMENTS"        # Full argument string, e.g., "We use cursor pagination"
FLAG = "$ARGUMENTS[0]"     # First token — check for --success, --failed, --category, --agent
# Parse flags from $ARGUMENTS[0], $ARGUMENTS[1] etc. (CC 2.1.59 indexed access)
# Remaining tokens after flags = the text to remember

Architecture

The remember skill uses knowledge graph as storage:

Knowledge Graph: Entity and relationship storage via mcp__memory__create_entities and mcp__memory__create_relations. These tools come from a memory MCP server that OrchestKit does not bundle: configure one in the user or project scope first (for example @modelcontextprotocol/server-memory) and confirm it with claude mcp list. Without it, every graph step here does nothing.

Benefits:

Free and local once the memory server is configured
Explicit relationship queries (e.g., "what does X use?")
Cross-referencing between entities
No cloud dependency

Read the full file on GitHub · 222 lines

Files

What ships with it

10 files 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.

4d ago Changed 81f8c5938be1
21d ago Changed d9fcfb6bc2b5
22d ago Changed · -1 lines 1f57e688a288
25d ago Changed · +4 tokens per session e594cf064a37
28d ago Changed cdf3635c23b1
1mo ago Changed 654a21f6ac34
1mo ago Changed · -7 lines 80451146bdb1
1mo ago Changed 4e752eca81d6
1mo ago Changed 372502f06d33
1mo ago First seen · 230 lines · 62 tokens per session scan A d6583825db8d

Subscribe to this mod's changes

remember is a skill published in the GitHub repository yonatangross/orchestkit (298 stars, last pushed today), licensed MIT. It adds 66 tokens to every session and 2,288 once invoked, about $0.0003 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 2026-09-05.

Claude Code LLM Memory and context agents ai-development claude-plugin langgraph

knowledge_store_skill

Skill for working with local .knowledge.yaml files via KnowledgeStore. Use this when you need to recall, search, or manage directory-local memories and knowledge links stored in plain YAML alongside the user's project files. KnowledgeStore is directory-scoped. Each directory that contains a .knowledge.yaml file…

NPC-Worldwide/npcpy · 346 tokens

remember

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

Remember - Store Decisions and Patterns

Argument Resolution

Architecture

What ships with it

What this file has done since we first saw it

Other skills, from other repositories

knowledge_store_skill

cocoscout

pod-checkpoint

pull-search

pod-resume

wisdom-forget