Save LearningSAFE
Continuously sync your AI setups with one command. Codebase tailor suited agent skills, MCPs and config files for Claude Code, Cursor, and Codex.
Overview
Continuously sync your AI setups with one command. Codebase tailor suited agent skills, MCPs and config files for Claude Code, Cursor, and Codex.
b38062d63a05OBSERVED · 2026-10-10What 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: save-learning
description: Saves user instructions as persistent learnings for future sessions. Use when the user says 'remember this', 'always do X', 'from now on', 'never do Y', or gives any instruction they want persisted across sessions. Proactively suggest when the user states a preference, convention, or rule they clearly want followed in the future.
---
# Save Learning
Save a user's instruction or preference as a persistent learning that
will be applied in all future sessions on this project.
## Instructions
1. Detect when the user gives an instruction to remember, such as:
- "remember this", "save this", "always do X", "never do Y"
- "from now on", "going forward", "in this project we..."
- Any stated convention, preference, or rule
2. Refine the instruction into a clean, actionable learning bullet with
an appropriate type prefix:
- `**[convention]**` — coding style, workflow, git conventions
- `**[pattern]**` — reusable code patterns
- `**[anti-pattern]**` — things to avoid
- `**[preference]**` — personal/team preferences
- `**[context]**` — project-specific context
3. Show the refined learning to the user and ask for confirmation
4. If confirmed, run:
```bash
caliber learn add "<refined learning>"
```
For personal preferences (not project-level), add `--personal`:
```bash
caliber learn add --personal "<refined learning>"
```
5. Stage the learnings file for the next commit:
```bash
git add CALIBER_LEARNINGS.md
```
## Examples
User: "when developing features, push to next branch not master, remember it"
-> Refine: `**[convention]** Push feature commits to the \`next\` branch, not \`master\``
-> "I'll save this as a project learning:
**[convention]** Push feature commits to the \`next\` branch, not \`master\`
Save for future sessions?"
-> If yes: run `caliber learn add "**[convention]** Push feature commits to the next branch, not master"`
-> Run `git add CALIBER_LEARNINGS.md`
User: "always use bun instead of npm"
-> Refine: `**[preference]** Use \`bun\` instead of \`npm\` for package management`
-> Confirm and save
User: "never use any in TypeScript, use unknown instead"
-> Refine: `**[convention]** Use \`unknown\` instead of \`any\` in TypeScript`
-> Confirm and save
## When NOT to trigger
- The user is giving a one-time instruction for the current task only
- The instruction is too vague to be actionable
- The user explicitly says "just for now" or "only this time"Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| 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 (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
b38062d63a05full audit observations/trust-audit/skill/caliber-ai-org__save-learning.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-10 | b38062d63a05 | SAFE | B | 89 | first audit |
Questions
What does the Save Learning skill do?
Continuously sync your AI setups with one command. Codebase tailor suited agent skills, MCPs and config files for Claude Code, Cursor, and Codex.
Is Save Learning safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Save Learning 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 (b38062d63a05), read on 2026-10-10. The repository is watched, and a new audit runs when it changes — this is the first audit.