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/scitrera/memorylayer/recallgit clone --depth 1 https://github.com/scitrera/memorylayerWhat 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 | $0.00283 |
| Opus 5 | $0.00000 | $0.00142 |
| Sonnet 5 | $0.00000 | $0.00057 |
| Haiku 4.5 | $0.00000 | $0.00028 |
Grade A, and why
recall 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.
What it actually says
/memorylayer-recall
Quick command to search memories.
Usage
/memorylayer-recall <query>
Examples
/memorylayer-recall database decisions
/memorylayer-recall authentication bugs
/memorylayer-recall user preferences
/memorylayer-recall what do we know about the API
Behavior
When this command is invoked:
- Use
memory_recallwith the provided query - Display results in a readable format
- Show relevance scores and key metadata
Response Format
Found 3 relevant memories:
1. [0.89] We decided to use PostgreSQL for better JSON support
Type: semantic | Tags: postgresql, database
Stored: 2 days ago
2. [0.76] Database connection pooling set to max 20 connections
Type: procedural | Tags: database, config
Stored: 1 week ago
3. [0.71] User prefers PostgreSQL over MySQL for new projects
Type: semantic | Tags: database, preference
Stored: 3 weeks ago
If no results:
No memories found matching "your query"
Try:
- Broader search terms
- Check /memorylayer-status for connection issues
- Use /memorylayer-remember to store new memories
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 · 56 lines · 0 tokens per session scan A d3a69b66151e
recall is a command published in the GitHub repository scitrera/memorylayer (2 stars, last pushed 3mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 283 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 2026-08-31.
Other commands, from other repositories
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.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
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.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.