Memory CaptureCAUTION
AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN
Overview
AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN
be38a2983eb1OBSERVED · 2026-10-20What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: memory-capture
description: "Capture a working thread's current state into one coherent Basic Memory note; on re-capture, rewrite it in place. Use mid- or end-of-thread when decisions, insights, or context are worth keeping."
---
# Memory Capture
Capture the gist of a working thread — the decisions made, insights surfaced, and context built — into a single coherent Basic Memory note that reflects where the thread has landed.
## Purpose
A thread has a beginning, middle, and end. Things change as the conversation progresses: an early decision gets revised, a problem looks different in light of new information, a trade-off is settled differently than it first seemed. When this skill is invoked, capture the **current state of understanding**, not the history of how it got there.
If the skill is invoked more than once in the same thread, the **same note is rewritten** so it stays coherent — not appended to. The result should read top-to-bottom as a single document about the thread's outcome, with brief prose where a meaningful change is worth acknowledging.
## When to Use
Typical timing is **mid-thread or end-of-thread**, after enough has been settled to be worth preserving.
Use this skill when:
- Key decisions have been made and shouldn't evaporate when the thread closes
- A design, debugging, or planning discussion has produced something concrete
- The user explicitly asks to capture, save, or remember what's been discussed
- Toward the end of a session, to summarize the outcome
It is fine — and expected — to invoke this skill multiple times in the same thread as the conversation evolves.
## Same-Thread Detection
To rewrite the same note on re-capture instead of duplicating, key the note to a stable `thread_id` in its frontmatter.
**If your agent exposes a stable session or thread id**, store it as `thread_id` so subsequent captures within the same thread find and rewrite the same note. Any value that stays constant for the duration of the thread works — a session UUID, a conversation id, a ticket number the work is scoped to.
> **Example (hosts with a JSONL transcript):** some agents write a per-session transcript whose filename is a stable session UUID. If yours does, you can derive the id from the most-recently-modified transcript file and use it as `thread_id`. This is optional — only do it if your host actually exposes such a transcript.
**If no stable id is available**, match the existing note by title/topic instead: search for a note covering the same thread (`search_notes(query="<topic>")`), and if you find the one this thread already produced, rewrite it. Omit `thread_id` and rely on a consistent title.
## Decision Flow
1. **Determine the thread key.** Use a stable session/thread id if your agent exposes one; otherwise plan to match by title/topic.
2. **Search Basic Memory** for the existing thread note.
- With a thread id, use `metadata_filters` (not `query`) — full-text query doesn't reliably match YAML frontmatter custom fields:
```python
search_notes(
metadata_filters={"thread_id": "<thread-id>"},
project="<project>"
)
```
- Without one, search by topic and identify the note this thread already produced:
```python
search_notes(query="<thread topic>", project="<project>")
```
3. **If a match is found:**
- Read the existing note as JSON (use the full permalink returned by search) and keep its `checksum`
- Synthesize a new version that integrates the latest understanding from the conversation
- Overwrite via `write_note` with `overwrite=True` and `expected_checksum` set to that checksum (same title, same `thread_id` if used, same directory). A `NOTE_REVISION_CONFLICT` error means another session changed the note since you read it: read it again and re-synthesize
4. **If no match is found:**
- Synthesize the note from the conversation
- If you have a thread id, pass `metadata={"thread_id": "<thread-id>"}` to `write_note` (it surfaces as a custom frontmatter field)
- Save it. If `write_note` lists similar existing notes, check whether one of them is this thread's note before keeping the new one
## Synthesis Rules
When updating an existing thread note, **synthesize, don't append**:
- Decisions that are still current → keep, possibly refined
- Decisions that have been superseded → replaced inline (the new one goes where the old one was)
- Significant revisions that deserve explanation → a sentence woven into the relevant section, *not* an appended changelog
- Outdated context → removed
Goal: the note reads top-to-bottom as a single coherent document. A reader who never saw the conversation should still understand the outcome from the note alone. There is no `## Changes` section at the bottom; revisions live in the prose where they're relevant.
## Escape Hatch
If the user explicitly asks for a separate note (e.g., "capture this as a new note, don't merge with the existing thread note"), skip the same-thread lookup and create a fresh note without setting `thread_id`. This is rare; the default is to update.
## Note Structure
```markdown
---
title: <descriptive title for the thread>
type: note
thread_id: <thread-id, if your agent exposes one>
tags:
- relevant
- tags
---
# <Title>
## Context
What this thread is about — the situation, problem, or topic being explored.
## <One or more topical sections>
The actual content. Could be decisions, a design rationale, an investigation summary, etc.
## Observations
- [decision] What was decided #tag
- [insight] Key understanding gained #tag
- [tradeoff] Option A chosen over B because... #tag
## Relations
- relates_to [[Related Concept]]
- implements [[Parent Spec]]
```
## Common Observation Categories
- `[decision]` — choices made
- `[insight]` — understanding gained
- `[pattern]` — reusable approaches
- `[learning]` — lessons learned
- `[tradeoff]` — options weighed
- `[problem]` — issues identified
- `[solution]` — fixes applieTrust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (5)
.claude/skills/adversarial-review
.claude/skills/basic-machines-review
.claude/skills/cmux
.claude/skills/cmux-markdown
.claude/skills/cmux-settings
Gates applied: no_behavioural_pass.
be38a2983eb1full audit observations/trust-audit/skill/basicmachines-co__memory-capture.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-20 | be38a2983eb1 | CAUTION | B | 89 | first audit |
Questions
What does the memory-capture — basicmachines-co/basic-memory skill do?
AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN
Is memory-capture — basicmachines-co/basic-memory safe to install?
With care. The audit graded it B (89/100) and found 5 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can memory-capture — basicmachines-co/basic-memory access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (be38a2983eb1), read on 2026-10-20. The repository is watched, and a new audit runs when it changes — this is the first audit.
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