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/commandosslabs/walrus-memory-mcp-plugin/recallgit clone --depth 1 https://github.com/CommandOSSLabs/walrus-memory-mcp-pluginWhat 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 | $0.00009 | $0.00078 |
| Opus 5 | $0.00005 | $0.00039 |
| Sonnet 5 | $0.00002 | $0.00016 |
| Haiku 4.5 | $0.00001 | $0.00008 |
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
Search Walrus Memory with memwal_recall for context relevant to the user's query below.
Use a focused semantic query. After recalling, summarize only the useful findings and say when no relevant memory was found.
Recall query:
$ARGUMENTS
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 · 16 lines · 9 tokens per session scan A c9a81271841f
recall is a command published in the GitHub repository CommandOSSLabs/walrus-memory-mcp-plugin (0 stars, last pushed 13d ago), licensed Apache-2.0. It adds 9 tokens to every session and 78 once invoked, about $0.0000 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 2026-08-31.
Other commands, from other repositories
cg-plan
Design before code — produce a complete Design Graph for a task, then implement to match it.
cg-review
Review code against its call graph — reconstruct the implemented Design Graph and diff it.
cg
Generate a call graph of a module or task in Graph Protocol format.
cg-map
Map the Graph Protocol vocabulary onto a language/framework's concrete idioms.
dt
Design Thinking mode: /dt toggles, on|off|status set/query, anything else runs as a prompt with mode on.
git
Git operations with intelligent commit messages and workflow optimization.