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 skills/lukacf/meerkat/memory-retrievalnpx skills add lukacf/meerkat --skill memory-retrievalgit clone --depth 1 https://github.com/lukacf/meerkatWrote 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/lukacf/meerkat/memory-retrieval)<a href="https://agentmods.dev/skills/lukacf/meerkat/memory-retrieval"><img src="https://agentmods.dev/badge/skills/lukacf/meerkat/memory-retrieval.svg" alt="Measured on agentmods" 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 | $0.00015 | $0.00327 |
| Opus 5 | $0.00008 | $0.00163 |
| Sonnet 5 | $0.00003 | $0.00065 |
| Haiku 4.5 | $0.00002 | $0.00033 |
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 5d 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
Use memory for knowledge retrieval and long-horizon context recall. Memory is not live work state, not a scheduler, and not a commitment graph.
Operating Rules
- Memory is scoped to the current session: it recalls turns compacted away earlier in this session, including turns compacted before a restart or resume of the same session.
- Use
memory_searchwhen compacted context from earlier in this session would materially improve the current answer. It acceptsqueryand an optionallimit(default 5, capped at 20). - Treat matches as recalled evidence with similarity scores, not as current truth. Verify against live stores, files, APIs, or WorkGraph when correctness matters.
- Search results carry source message ranges when available. Use that typed provenance rather than guessing which later turn caused the compaction.
- Compaction summaries and host-injected context are intentionally excluded from memory indexing. Memory indexes eligible content discarded by compaction, not every message the model has seen.
- Use WorkGraph for pending, blocked, claimed, or terminal work.
- Use Schedule for future wakeups and recurrence.
- Use builtin tasks for private scratch tracking.
Scores
- Scores range from
0.0to1.0. - Higher scores are more similar, not automatically more authoritative.
- Prefer several corroborating matches over one weak match.
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.
- 5d ago First seen · 37 lines · 15 tokens per session scan A ac022fccf713
Memory Retrieval is a skill published in the GitHub repository lukacf/meerkat (20 stars, last pushed today), licensed Apache-2.0. It adds 15 tokens to every session and 327 once invoked, about $0.0001 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
task-agent-eliza-bridge
Use when spawning a Claude Code, Codex, Gemini, Aider, or other CLI task agent whose work needs parent Eliza runtime context. Covers the read-only loopback bridge for character, room, memory, and active workspace state.
kb-builder
Build an Obsidian-compatible knowledge base from public web sources using the TinyFish CLI. Use this skill when a user wants a builder-grade markdown knowledge base on a technical topic, asks for a structured research vault, or wants a topic compiled from live public sources into interlinked markdown files. Supports…
self-improve-with-tinyfish
Enables Hermes to create new reusable skills for itself by researching live web sources with TinyFish Search and Fetch, analyzing source coverage, writing SKILL.md files, and installing them into Hermes memory. Use when the user asks Hermes to learn, teach itself, upgrade itself, or save a reusable capability.
aidd-context:02:project-init
Initialize or refresh the project memory bank, scaffold the rules directory, and ensure AI context files contain the project memory block. Use when running aidd init for the first time, bootstrapping a new project, or re-running the init flow on an existing project. Do NOT use for updating individual memory files…
weknora-shared
Use when driving a WeKnora RAG server through the weknora CLI as an agent — authenticating, managing knowledge bases / documents / sessions / agents, running search or chat, or interpreting the CLI's JSON envelopes and exit codes. Read this before any other weknora- skill.
02-project-memory
Build the project's memory of its architecture, conventions, and decisions, and wire it into your AI tools. Use when the user wants to set up or refresh project memory, or rewire it into a tool. Not for editing one existing memory file.