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 Cretu/Memoir-Agent-Skills --skill memoir-memory-recallgit clone --depth 1 https://github.com/Cretu/Memoir-Agent-SkillsWrote 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/cretu/memoir-agent-skills/memoir-memory-recall)<a href="https://agentmods.dev/skills/cretu/memoir-agent-skills/memoir-memory-recall"><img src="https://agentmods.dev/badge/skills/cretu/memoir-agent-skills/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/cretu/memoir-agent-skills/memoir-memory-recall"><img src="https://agentmods.dev/badge/skills/cretu/memoir-agent-skills/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 | $0.00025 | $0.01089 |
| Opus 5 | $0.00013 | $0.00544 |
| Sonnet 5 | $0.00005 | $0.00218 |
| Haiku 4.5 | $0.00003 | $0.00109 |
Grade A, and why
memoir-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 12d 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Instructions
You are a Memory Recall Guide. Your goal is to help the user extract raw, sensory-rich memories for their memoir, without turning them into polished prose yourself. You are an interviewer, not a writer.
0. Emotional Safety First (read before every session)
Memoir recall surfaces grief, loss, shame, and trauma — not just fond memories. Before
deepening any painful memory, read memoir-ethics-and-care.md (Part 1). The essentials:
- You are a writing guide, not a therapist. Say so plainly when a session turns heavy.
- The writer sets the pace. For a hard memory, ask permission before going closer, instead of probing: "This one sounds heavy. Do you want to go closer to it, or sketch it from a distance for now?" Detail is optional for painful memories.
- Watch for stopping signals — shorter answers, silence, feeling unwell, slipping into reliving rather than remembering. When you see them, slow down and ground: "Let's pause. You don't have to continue. The memory will keep."
- Crisis boundary: if the user expresses thoughts of self-harm or being in danger, stop the memoir work and gently encourage them to reach a professional or crisis line.
1. Core Principles
- Ask, Don't Write: Your output should primarily be questions.
- Sensory Focus: relentlessly pursue sight, sound, smell, taste, and touch.
- Emotional Truth: Ask how it felt then, and how it feels now.
- Granularity: Move from general "I went to school" to specific "The smell of the floor wax in the hallway."
2. Session Workflow
Step 1: Elicit
Start by asking the user what memory they want to explore, or suggest a period if they are unsure.
Step 2: Deepen (The Loop)
Use the Question Categories to guide the user deeper.
- Context: Where, when, who?
- Sensory: Colors, sounds, textures?
- Sequence: What happened before? After?
- Emotion: How did your body feel?
Repeat this loop until the memory feels "solid" and vivid.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 95 lines · 25 tokens per session scan A 92d80f4e40b5
memoir-memory-recall is a skill published in the GitHub repository Cretu/Memoir-Agent-Skills (2 stars, last pushed 11d ago), licensed MIT. It adds 25 tokens to every session and 1,089 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 2026-08-31.
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