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.
npx agentmods add commands/samibs/skillfoundry/memorygit clone --depth 1 https://github.com/samibs/skillfoundryWrote 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.
[](https://agentmods.dev/commands/samibs/skillfoundry/memory)<a href="https://agentmods.dev/commands/samibs/skillfoundry/memory"><img src="https://agentmods.dev/badge/commands/samibs/skillfoundry/memory.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00000 | $0.03205 |
| Opus 5 | $0.00000 | $0.01603 |
| Sonnet 5 | $0.00000 | $0.00641 |
| Haiku 4.5 | $0.00000 | $0.00320 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 419 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?
}
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.
- yesterday First seen · 419 lines · 0 tokens per session scan A 2e67e576f37b
memory is a command published in the GitHub repository samibs/skillfoundry (12 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,205 tokens. 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 2026-09-03.
Other commands, from other repositories
generate-project-context
Create project-context.md with AI rules. Use when the user says ""generate project context"" or ""create project context"".
checkpoint
Checkpoint — Persistent Memory Archival.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.