Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/macanderson/stella/self-drivinggit clone --depth 1 https://github.com/macanderson/stellaWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00039 | $0.03326 |
| Opus 5 | $0.00019 | $0.01663 |
| Sonnet 5 | $0.00008 | $0.00665 |
| Haiku 4.5 | $0.00004 | $0.00333 |
Grade A, and why
self-driving scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 295 lines · 39 tokens per session scan A 4c4b938c3604
self-driving is a command published in the GitHub repository macanderson/stella (9 stars, last pushed 2d ago), licensed AGPL-3.0. It adds 39 tokens to every session and 3,326 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
dreaming
Configure and run the dreaming subsystem that consolidates, combines, and prunes memories on a wall-clock floor. Invoke when the user asks to turn dreaming on/off, change how often it runs, run a one-shot dreaming pass, or check when dreaming last fired. Defaults: mode=auto, interval=30m for auto / 24h for on, include…
prune
Find and remove project memory databases whose project root no longer exists on disk. Use when a project is deleted or moved.
reset_project
Wipe the per-project memory cache for the active project when it was re-cloned from the same path.
advisor
Run the advisor reflection over the active project (anchored recommendations, no remote calls).
list_memories
List the kimi-memory entries for the current project.
memos
Open the kimi-memos-dashboard in the default browser. The dashboard is a read-only web view of every kimi-memory SQLite database.