remember — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited remember (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Store a learning, pattern, or decision in the memory system for future recall.
/remember <what you learned>Or with explicit type:
/remember --type WORKING_SOLUTION <what you learned>/remember TypeScript hooks require npm install before they work
/remember --type ARCHITECTURAL_DECISION Session affinity uses terminal PID
/remember --type FAILED_APPROACH Don't use subshell for store_learning command| Type | Use For |
|---|---|
WORKING_SOLUTION | Fixes, solutions that worked (default) |
ARCHITECTURAL_DECISION | Design choices, system structure |
CODEBASE_PATTERN | Patterns discovered in code |
FAILED_APPROACH | What didn't work |
ERROR_FIX | Specific error resolutions |
When this skill is invoked, run:
cd $CLAUDE_OPC_DIR && PYTHONPATH=. uv run python scripts/core/store_learning.py \
--session-id "manual-$(date +%Y%m%d-%H%M)" \
--type <TYPE or WORKING_SOLUTION> \
--content "<ARGS>" \
--context "manual entry via /remember" \
--confidence mediumIf no --type specified, infer from content:
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.