Atlas / Skills / caliber-ai-org / Save Learning

Save LearningSAFE

skills/caliber-ai-org/save-learning

Continuously sync your AI setups with one command. Codebase tailor suited agent skills, MCPs and config files for Claude Code, Cursor, and Codex.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
1,302
01

Overview

Continuously sync your AI setups with one command. Codebase tailor suited agent skills, MCPs and config files for Claude Code, Cursor, and Codex.

Read from source at commit b38062d63a05OBSERVED · 2026-10-10
02

What 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"
03

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.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (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.

Audited 2026-10-10 · audit v0.4.1 · source sha b38062d63a05full audit observations/trust-audit/skill/caliber-ai-org__save-learning.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-10b38062d63a05SAFEB89first audit
05

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.

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