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 iBrain-BVBA/gutt-claude-code-plugin --skill memory-retrievalgit clone --depth 1 https://github.com/iBrain-BVBA/gutt-claude-code-pluginWrote 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/ibrain-bvba/gutt-claude-code-plugin/memory-retrieval)<a href="https://agentmods.dev/skills/ibrain-bvba/gutt-claude-code-plugin/memory-retrieval"><img src="https://agentmods.dev/badge/skills/ibrain-bvba/gutt-claude-code-plugin/memory-retrieval/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/ibrain-bvba/gutt-claude-code-plugin/memory-retrieval"><img src="https://agentmods.dev/badge/skills/ibrain-bvba/gutt-claude-code-plugin/memory-retrieval.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00052 | $0.00193 |
| Opus 5.5 | $0.00021 | $0.00077 |
| Sonnet 5.5 | $0.00010 | $0.00039 |
| Haiku 4.5 | $0.00005 | $0.00019 |
Grade A, and why
memory-retrieval 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
Memory Retrieval (deprecated → use memory-search)
This skill has been superseded by memory-search, which teaches the
shallow-first ladder, summary-first reading, and token discipline for the gutt
knowledge graph (GP-856).
The trigger phrases that used to auto-fire this skill now belong to
memory-search, so it no longer activates on its own — it stays only as an
alias for the existing /gutt-pro:memory-retrieval command.
Use memory-search for all memory reads. For multi-hop traversal see
graph-traversal; for writing memory see memory-capture.
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 · 18 lines · 52 tokens per session scan A 47215f52a36d
memory-retrieval is a skill published in the GitHub repository iBrain-BVBA/gutt-claude-code-plugin (5 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 193 once invoked, about $0.0002 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 2026-08-31.
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