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 | $0.00171 | $0.01656 |
| Sonnet 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 9d 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.
- 9d ago First seen · 196 lines · 343 tokens per session scan A c99c1eb3c2c4
memory-recall is a skill published in the GitHub repository zhangfengcdt/memoir (611 stars, last pushed today), licensed Apache-2.0. It adds 343 tokens to every session and 3,311 once invoked, about $0.0017 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 2026-08-30.
Other skills, from other repositories
media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
establishing-project-context
Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.