Capture LearningsCAUTION
A framework for building agentic apps
Overview
A framework for building agentic apps
5977febf67f1OBSERVED · 2026-10-14What 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: capture-learnings
description: >-
Capture and apply accumulated knowledge via structured memory. Use when the
user gives feedback, shares preferences, corrects a mistake, or when you
discover something worth remembering for future conversations.
user-invocable: false
metadata:
internal: true
---
# Capture Learnings
This is background knowledge, not a slash command. **Organization learnings and your personal memory index are loaded at the start of every conversation, including Slack/integration turns.** Capture durable context proactively when you learn something worth remembering.
## How to Read & Write Memories
Memories are stored as **resources** in the SQL database, not as files on disk.
- **Team/organization knowledge:** shared `LEARNINGS.md`. Read it first, merge the new fact, then write the full updated file with the `resources` tool using `scope: "shared"`. Shared scope resolves to the active organization; it must never leak to another organization in the same deployment.
- **Personal knowledge:** `memory/MEMORY.md` plus `memory/<name>.md`, written with `save-memory`.
- **Save a memory:** `save-memory --name <name> --type <type> --description "..." --content "..."`
- **Read a memory:** `resource-read --path memory/<name>.md`
- **Delete a memory:** `delete-memory --name <name>`
- **List all memories:** `resource-list --prefix memory/`
## Memory Types
| Type | Use for |
|------|---------|
| `user` | Preferences, role, personal context, contacts |
| `feedback` | Corrections, confirmed approaches, things to avoid or repeat |
| `project` | Ongoing work context, decisions, deadlines, status |
| `reference` | Pointers to external systems, URLs, API details |
## When to Capture
Follow the user's personal `memory/INSTRUCTIONS.md` when deciding what to
preserve or leave out. It is loaded automatically with the user's personal
`AGENTS.md` instructions.
At the natural stopping point of a meaningful multi-turn task, review the
conversation for durable preferences, corrections, decisions, conventions, or
project context that would improve a future thread. Save only new, supported
facts; completed task details and temporary debugging notes stay in the thread.
### Team and organization knowledge (`LEARNINGS.md`, shared scope)
- Canonical destinations and workflows (for example, which Content database receives a type of Slack request)
- Required intake fields, ownership, prioritization conventions, metric definitions, and approved terminology
- Durable external references that the whole team needs, including the canonical page/database URL
- Corrections or decisions that should affect every organization member's future Slack and app conversations
Store the fact and a concise provenance link when available. Do not paste full private conversations, customer data, credentials, or secrets into learnings. Put stable always-on policy in shared `AGENTS.md`; put learned facts and evolving conventions in shared `LEARNINGS.md`.
### User Preferences & Memory (`user`)
- **Tone and style** — "I prefer casual tone", "don't use emojis", "keep replies short"
- **Personal context** — contacts, relationships, habits ("my wife's email is...", "I'm in PST timezone")
- **Workflow preferences** — "always CC my assistant", "I like to review before sending"
- **Role and expertise** — "I'm a data scientist", "new to React"
### Feedback & Corrections (`feedback`)
- **Corrections** — user says "no, do it this way" → capture the right way
- **Confirmed approaches** — user validates a non-obvious choice ("yes, that's perfect")
- **Repeated friction** — you hit the same issue twice; save it
### Project Context (`project`)
- **Ongoing work** — who is doing what, why, by when
- **Decisions** — why something is done a certain way
- **Status** — current state of initiatives
### References (`reference`)
- **External systems** — "bugs are tracked in Linear project INGEST"
- **URLs** — dashboards, documentation, tools
- **API quirks** — undocumented behavior, version-specific gotchas
### Don't Capture
- Things obvious from reading the code
- Standard language/framework behavior
- Temporary debugging notes
- Anything already in AGENTS.md, shared LEARNINGS.md, or skills
- Ephemeral task details (use tasks/plans instead)
## Key Rules
1. **Save proactively — don't ask permission.** When you learn something durable, save it immediately at the correct scope.
2. **Choose scope by audience.** Organization workflow or reference → shared `LEARNINGS.md`; one person's preference/context → personal memory.
3. **One memory per topic** — e.g. `coding-style`, `project-alpha`, not one giant dump
4. **Read before updating** — if a memory exists, read it first and merge, don't overwrite
5. **Make memories retrievable** — concise descriptions include names,
relationships, and common wording the user may use to ask for that memory;
the index powers automatic recall.
6. **Keep descriptions concise** — the index is loaded every conversation
7. **Memories are SQL-backed** — they persist across sessions and are not in git; still minimize sensitive content
## Graduation
When a memory is referenced repeatedly, it may belong in AGENTS.md or a skill:
- Saving a personal memory is lightweight (auto-apply, personal scope)
- Shared LEARNINGS.md is the lightweight organization knowledge layer
- Updating AGENTS.md or a skill is heavier (affects all users/agents)Trust 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)
.agents/skills/an
.agents/skills/content-product-development
.agents/skills/design-exploration
.agents/skills/turn-into-app
.agents/skills/visual-edit
Gates applied: no_behavioural_pass.
5977febf67f1full audit observations/trust-audit/skill/builderio__capture-learnings.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-14 | 5977febf67f1 | CAUTION | B | 89 | first audit |
Questions
What does the Capture Learnings skill do?
A framework for building agentic apps
Is Capture Learnings 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 Capture Learnings 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 (5977febf67f1), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.
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