Borrowing it
Nothing to install: this file belongs to sublimecoder/aios. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sublimecoder/aios/main/.claude/commands/km-rotate.mdgit clone --depth 1 https://github.com/sublimecoder/aiosWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/sublimecoder/aios/km-rotate)<a href="https://agentmods.dev/commands/sublimecoder/aios/km-rotate"><img src="https://agentmods.dev/badge/commands/sublimecoder/aios/km-rotate/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/sublimecoder/aios/km-rotate"><img src="https://agentmods.dev/badge/commands/sublimecoder/aios/km-rotate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00032 | $0.00221 |
| Opus 5.5 | $0.00013 | $0.00088 |
| Sonnet 5.5 | $0.00006 | $0.00044 |
| Haiku 4.5 | $0.00003 | $0.00022 |
Grade A, and why
km-rotate 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 1mo 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.
What it actually says
Read and follow AIOS/Skills/km-rotate.md.
Arguments: $ARGUMENTS — an optional layer (creator / professional / work) or
specific map line numbers. With no arguments, work every line aios-check.sh reports,
one layer segment at a time.
Measure with sh AIOS/Systems/km-measure.sh (bytes, not characters — that is the number
the gate uses). aios-check.sh warns at 1350 bytes so rotation happens while it is
cheap; the skill's own frontmatter still says "exceeds ~1500", which is the failure
threshold rather than the pressure threshold — prefer the 1350 warning as the trigger.
Step 4 is the gate: a clause that exists ONLY on the map line gets written into the note before the map line shrinks. Never drop a fact.
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.
- 1mo ago First seen · 18 lines · 32 tokens per session scan A 08984f1f0a53
km-rotate is a command published in the GitHub repository sublimecoder/aios (2 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 221 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-19.
Other commands, from other repositories
wiki-query
Ask questions against the wiki. Synthesizes answers from wiki pages with cross-reference citations.
wiki-req
Capture and decompose a concept into atomic, traceable wiki requirements. Clarifies ambiguous requirements, splits them into atomic pieces, and persists them as wiki/requirements/ pages with status tracking.
wiki-retro
Save an atomic insight from the current task into the wiki. Creates a single markdown file that layered recall surfaces in future sessions.
wiki-run
Run the full wiki cycle: discover → ingest → lint. Optionally schedule for auto-updates.
wiki-discover
Auto-discover new sources from the web. Searches based on config topics and known knowledge gaps.
wiki-init
Initialize a new LLM Wiki in the current directory. Creates the full directory structure, config, and template files.