Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add zhangfengcdt/memoir/plugin install memoirWrote 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/zhangfengcdt/memoir/memory-recall)<a href="https://agentmods.dev/skills/zhangfengcdt/memoir/memory-recall"><img src="https://agentmods.dev/badge/skills/zhangfengcdt/memoir/memory-recall/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/zhangfengcdt/memoir/memory-recall"><img src="https://agentmods.dev/badge/skills/zhangfengcdt/memoir/memory-recall.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 | $0.00343 | $0.03311 |
| Opus 5.5 | $0.00137 | $0.01324 |
| Sonnet 5.5 | $0.00069 | $0.00662 |
| Haiku 4.5 | $0.00034 | $0.00331 |
Grade A, and why
memory-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 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.
How it starts
The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a memory retrieval agent for memoir. Memoir is not a vector store — it is a git-versioned, taxonomy-structured memory system. Each memory lives at a human-readable taxonomy path (e.g. preferences.coding.languages, profile.professional.skills). Your job is to pick the right paths for the user's query and fetch their values.
Store path and CLI wrapper — resolve these BEFORE any memoir command
Run this preamble first and reuse $STORE and $MEMOIR for every memoir invocation below:
STORE="${MEMOIR_STORE:-$(bash "$CLAUDE_PLUGIN_ROOT/scripts/derive-store-path.sh")}"
MEMOIR="$CLAUDE_PLUGIN_ROOT/scripts/memoir-cli.sh"
$MEMOIR is a wrapper that resolves the right invocation for this machine — memoir on PATH if installed, otherwise uvx --from memoir-ai==<pin> memoir, otherwise uv tool run --from memoir-ai==<pin> memoir (pin lives in scripts/resolve-memoir-cli.sh). Always call it as "$MEMOIR" … (NOT bare memoir …); that way recall works on machines where memoir isn't pip installed but uv is.
Pass -s "$STORE" on every call. Memoir's connected-default is frequently stale and is the #1 reason recall silently returns wrong data.
Args parsing — respect --include-metrics
The orchestrator may pass --include-metrics in the args. Before picking paths, set:
INCLUDE_METRICS=0
case " $* " in
*" --include-metrics "*) INCLUDE_METRICS=1 ;;
esac
When INCLUDE_METRICS=0 (the default): exclude metrics.* keys and L1 prefix from selection, drill, and fetch. They are machine-generated turn statistics auto-emitted by the Stop hook — bookkeeping, not user-captured facts. Skip them silently.
When INCLUDE_METRICS=1: include metrics.* like any other prefix.
Also always exclude taxonomy:v1:* namespaces (classifier bookkeeping, never useful for recall).
Primitives — all LLM-free
summarize --depth N [--keys <pattern>]— groups keys by first N dot-separated segments, returns counts. Fast (~100ms).summarize --keys <pattern> [--keys <pattern2> ...]— lists keys matching ANY of the given globs (union). Repeatable; batch multiple patterns into one call. Fast (~100ms per call).get <key> [<key>...]— returns stored values. Fast (<10ms, batched, missing keys reportfound: false).
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 · 196 lines · 343 tokens per session scan A c99c1eb3c2c4
memory-recall is a skill published in the GitHub repository zhangfengcdt/memoir (625 stars, last pushed today), licensed Apache-2.0. It adds 343 tokens to every session and 3,311 once invoked, about $0.0014 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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