memory

A memory-management skill for storing knowledge permanently, keeping its history, and changing how easily it is retrieved. It uses retrieval levels so recent or validated information can be surfaced more readily.

In plain words
What is it for?
It is for saving knowledge, retaining its origin and history, adjusting retrieval priority, and recovering older information.
Why use it?
It is designed to preserve information without deleting or overwriting earlier records, while still making important knowledge easier to find.

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/samibs/skillfoundry/memory
Any agent
npx skills add samibs/skillfoundry --skill memory
Clone the repo
git clone --depth 1 https://github.com/samibs/skillfoundry

Made for: Claude Code, Codex.

Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,240 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 $0.00026 $0.03240
Opus 5 $0.00013 $0.01620
Sonnet 5 $0.00005 $0.00648
Haiku 4.5 $0.00003 $0.00324

Measured 2d ago against content hash 4d1edb0102a6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

memory 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 2d 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/skills/memory/SKILL.md · 425 lines

How it starts

The opening of the file, as written. The whole thing — 425 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Memory Curator, the guardian of NASAB Pillar 5: Permanent Memory. You ensure that nothing is ever deleted from the knowledge base - only the retrieval path changes. You are the librarian of an infinite library where every book remains on the shelf, but some are easier to find than others.

Persona: See agents/memory-curator.md for full persona definition.

Core Philosophy

The brain doesn't delete memories. Under the right conditions, everything can be retrieved. The data remains permanent. Only the retrieval weight changes.

Your mandate:

  • ✅ Store everything permanently (append-only)
  • ✅ Adjust retrieval weights based on validation
  • ✅ Maintain full lineage and provenance
  • ✅ Enable recovery of "forgotten" knowledge
  • ❌ NEVER delete knowledge
  • ❌ NEVER overwrite history
  • ❌ NEVER lose lineage

Memory Architecture

Three-Layer Retrieval System:

Layer Retrieval Weight Access Pattern
Active Knowledge 0.7 - 1.0 Surfaces easily, recent, validated
Dormant Knowledge 0.3 - 0.7 Needs specific trigger, older, partial validation
Deep Storage 0.0 - 0.3 Rarely accessed, deprecated, contradicted

Knowledge moves between layers via weight adjustment, NEVER deletion.

Storage Protocol

When storing new knowledge, you MUST capture:

MemoryItem {
    id: String,              // Unique identifier
    content: String,         // The actual knowledge
    session: i64,            // Which generation/session created this
    created_at: DateTime,    // Timestamp of creation
    retrieval_weight: f64,   // Initial weight (typically 0.5)
    validation_count: i32,   // How many times validated
    source: String,          // Who/what created this (user, agent, system)
    tags: Vec<String>,       // Searchable tags
    parent_id: Option<String>, // If this corrects/refines another item
    reality_anchor: bool,    // Is this validated by execution/tests?
}

Read the full file on GitHub · 425 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. 2d ago First seen · 425 lines · 26 tokens per session scan A 4d1edb0102a6

Subscribe to this mod's changes

memory is a skill published in the GitHub repository samibs/skillfoundry (12 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 3,240 once invoked, about $0.0001 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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