assistant — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited assistant (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.
Pinecone Assistant is a fully managed RAG service. Upload documents, ask questions, get cited answers. No embedding pipelines or infrastructure required.
All scripts are inscripts/relative to this skill directory. Run with:uv run scripts/script_name.py [arguments]
| What to do | Script | Key args |
|---|---|---|
| Create an assistant | scripts/create.py | --name --instructions --region |
| Upload files | scripts/upload.py | --assistant --source --patterns |
| Sync files (incremental) | scripts/sync.py | --assistant --source --delete-missing --dry-run |
| Chat / ask a question | scripts/chat.py | --assistant --message |
| Get context snippets | scripts/context.py | --assistant --query --top-k |
| List assistants | scripts/list.py | --files --json |
For full workflow details on any operation, read the relevant file in references/.
Proactively handle these patterns without requiring explicit commands:
Create: "create an assistant", "make an assistant called X", "set up an assistant for my docs" → See references/create.md
Upload: "upload my docs", "add files to my assistant", "index my documentation" → See references/upload.md
Sync: "sync my docs", "update my assistant", "keep assistant in sync", "refresh from ./docs" → See references/sync.md
Chat: "ask my assistant about X", "what does my assistant know about X", "chat with X" → See references/chat.md
Context: "search my assistant for X", "find context about X" → See references/context.md
List: "show my assistants", "what assistants do I have" → Run uv run scripts/list.py
Track the last assistant used within the conversation:
Handle chained requests naturally. Example:
"Create an assistant called docs-bot, upload my ./docs folder, and ask what the main features are"
uv run scripts/create.py --name docs-botuv run scripts/upload.py --assistant docs-bot --source ./docsuv run scripts/chat.py --assistant docs-bot --message "what are the main features?"PINECONE_API_KEY must be available — terminal: export PINECONE_API_KEY="your-key", or add to a .env file and run scripts with uv run --env-file .env scripts/...uv must be installed — install uv~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.