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 skills add dimetron/pi-go --skill memory-statusgit clone --depth 1 https://github.com/dimetron/pi-goWrote 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/skills/dimetron/pi-go/memory-status)<a href="https://agentmods.dev/skills/dimetron/pi-go/memory-status"><img src="https://agentmods.dev/badge/skills/dimetron/pi-go/memory-status/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.
<a href="https://agentmods.dev/skills/dimetron/pi-go/memory-status"><img src="https://agentmods.dev/badge/skills/dimetron/pi-go/memory-status.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00027 | $0.00499 |
| Opus 5.5 | $0.00011 | $0.00200 |
| Sonnet 5.5 | $0.00005 | $0.00100 |
| Haiku 4.5 | $0.00003 | $0.00050 |
Grade A, and why
memory-status 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 1mo 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.
What it actually says
When to use
Use this skill when the user wants to:
- Check the current state of the palace memory system
- See how many drawers, wings, and rooms exist
- Verify the embedding model is loaded
- View knowledge graph statistics (entities, triples, predicates)
- Diagnose palace issues or verify mining results
What it does
Runs pi memory status to display a comprehensive overview of the palace:
- Drawer count: Total knowledge units stored
- Wing count: Number of project namespaces
- Room count: Number of topical areas
- Model status: Whether the embedding model is loaded
- Knowledge Graph: Entity count, triple count (active vs total), predicates in use
- Wing details: Per-wing breakdown of drawers and rooms
Steps
- Run the status command:
# Default: looks for .pi-go/palace.db in current directory
pi memory status
# Specify a custom database path
pi memory status --db ~/.pi-go/palace.db
- If no palace database is found, suggest running
pi memory init . - Present the output to the user in a clear format
Arguments
The user can pass arguments after /memory-status:
--db <path>to specify a custom palace database path
Examples:
/memory-status— show status for current project/memory-status --db ~/.pi-go/palace.db— show status for global palace
Additional diagnostics
If the user needs deeper insight, chain with other commands:
# Search for specific knowledge
pi memory search "auth middleware"
# Check recent observations
pi memory recent
# View knowledge graph for an entity
pi memory kg query "pi-go"
# Show L0+L1 context that would be injected
pi memory wake-up
Notes
- If the palace DB doesn't exist, the command exits gracefully with instructions
- Model "not loaded" means semantic search falls back to FTS5 keyword matching
- Run
pi memory model downloadto enable semantic embeddings
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.
- 1mo ago First seen · 80 lines · 27 tokens per session scan A ff6449fb3fe8
memory-status is a skill published in the GitHub repository dimetron/pi-go (212 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 499 once invoked, about $0.0001 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 2026-08-30.
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