recall-memory

recall-memory is a skill for Claude Code from clacky-ai/openclacky. It costs 40 tokens per session (423 once invoked), scanned A, original, MIT.

A memory lookup helper for coding agents. It checks preloaded descriptions of saved notes, opens only the notes related to a question, and returns a short summary.

In plain words
What is it for?
Finding earlier decisions, preferences, project details, or other saved context relevant to the current task.
Why use it?
It avoids searching through every saved note and reduces the amount of unrelated information the agent must read.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions subagents.

Good fit Finding earlier decisions, preferences, project details, or other saved context relevant to the current task.

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Install with agentmods
npx agentmods add skills/clacky-ai/openclacky/recall-memory
About the project

OpenClacky is an open-source AI coding agent that uses OpenAI-compatible models to perform tasks through tools and subagents. It is intended for developers who want an agent with flexible model choice and lower token usage. The catalogue skills and agents extend its workflows and capabilities.

clacky-ai/openclacky · 1,187 stars · on GitHub · openclacky.com

Install

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.

Any agent
npx skills add clacky-ai/openclacky --skill recall-memory
Clone the repo
git clone --depth 1 https://github.com/clacky-ai/openclacky

Made for: Claude Code.

Wrote 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.

agentmods badge for recall-memory

README.md
[![agentmods](https://agentmods.dev/badge/skills/clacky-ai/openclacky/recall-memory/github.svg)](https://agentmods.dev/skills/clacky-ai/openclacky/recall-memory)
Your own site
<a href="https://agentmods.dev/skills/clacky-ai/openclacky/recall-memory"><img src="https://agentmods.dev/badge/skills/clacky-ai/openclacky/recall-memory/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.

agentmods 80×15 button for recall-memory

Your own site · 80×15
<a href="https://agentmods.dev/skills/clacky-ai/openclacky/recall-memory"><img src="https://agentmods.dev/badge/skills/clacky-ai/openclacky/recall-memory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 423 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 8
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.00423
Opus 5 $0.00020 $0.00211
Sonnet 5 $0.00008 $0.00085
Haiku 4.5 $0.00004 $0.00042

Measured 10d ago against content hash 2734937ddca0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

recall-memory 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 10d 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.

lib/clacky/default_skills/recall-memory/SKILL.md · 66 lines

What it actually says

Recall Memory Subagent

You are a Memory Recall Subagent. Your sole job is to find and return relevant long-term memories for the main agent.

Available Memory Files

The following memory files exist in ~/.clacky/memories/. This list was pre-loaded for you — do NOT re-scan the directory.

<%= memories_meta %>

Your Workflow — follow strictly

Step 1: Judge relevance

From the list above, decide which files are relevant to the task/topic passed to you.

Rules:

  • Match by topic and description against the requested task
  • If nothing matches, immediately return: "No relevant memories found for: "
  • Do NOT load files that are clearly irrelevant

Step 2: Load relevant files and return

For each relevant file:

  1. Read the full content:
file_reader(path: "~/.clacky/memories/<filename>")
  1. Touch the file to update its mtime (LRU signal — keeps it surfaced in future recalls):
terminal(command: "touch ~/.clacky/memories/<filename>")

Return ONLY the memory content, structured as:

## Recalled Memories: <task>

### <Topic Name>
<content verbatim or lightly summarized if very long>

Rules

  • NEVER modify any files
  • NEVER load irrelevant files — keep output minimal and focused
  • NEVER add commentary beyond the memory content itself
  • If a file exceeds 1000 tokens of content, summarize the least important parts
  • Stop immediately after returning the summary
Changes

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.

  1. 10d ago First seen · 66 lines · 40 tokens per session scan A 2734937ddca0

Subscribe to this mod's changes

recall-memory is a skill published in the GitHub repository clacky-ai/openclacky (1,187 stars, last pushed today), licensed MIT. It adds 40 tokens to every session and 423 once invoked, about $0.0002 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.