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 skills/mr-tbot/auto-everything/auto-balancenpx skills add mr-tbot/Auto-Everything --skill auto-balancegit clone --depth 1 https://github.com/mr-tbot/Auto-EverythingWrote 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/skills/mr-tbot/auto-everything/auto-balance)<a href="https://agentmods.dev/skills/mr-tbot/auto-everything/auto-balance"><img src="https://agentmods.dev/badge/skills/mr-tbot/auto-everything/auto-balance.svg" alt="Measured on agentmods" 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 | $0.00135 | $0.03169 |
| Opus 5 | $0.00068 | $0.01584 |
| Sonnet 5 | $0.00027 | $0.00634 |
| Haiku 4.5 | $0.00014 | $0.00317 |
Grade A, and why
auto-balance 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/auto-balance — machine truth and account budget for parallel agents
Make this session a good citizen on a machine that is running several others. Cap what it consumes, take turns on hardware, and size its own agent count so the account never hits a limit.
First run does setup and writes the environment description down. Every later run re-balances against what is actually running now.
Step 1 — First-Run Setup (once per repo)
Ask, then persist to .agent/balance.json (gitignored — it may name hosts):
- The machine: cores, RAM, and whether builds routinely OOM today.
- Typical concurrency: how many editor windows / agent sessions run at once.
- Attached hardware: Android devices, dev boards, ESP32s, anything on serial.
- Remote hosts: a Mac for iOS work, a build server. Ask for connection details — an SSH
Hostalias, a Tailscale name, the user to connect as. Store the alias, never a key or password; the key lives in~/.ssh/and is referenced by config. - Claude plan and session habits: which plan, and how many sessions typically run at once.
Record what you measured alongside what you were told:
nproc; grep -E '^(MemTotal|MemAvailable|SwapTotal)' /proc/meminfo
cat /sys/fs/cgroup/user.slice/user-$(id -u).slice/user@$(id -u).service/cgroup.controllers
oomctl # works unprivileged: SwapUsedLimit, DefaultMemoryPressureLimit, duration
oomctl is step zero on every run — it tells you what will kill you and at what threshold before you
start anything.
Step 2 — Know What Actually Works Here
Resource controls fail silently more often than they fail loudly. Establish the truth per machine:
cgroup delegation. A user slice typically delegates cpu memory pids and not io. Consequence:
systemd-run --user --scope -p CPUQuota=50% ... # works
systemd-run --user --scope -p MemoryMax=2G ... # works
systemd-run --user --scope -p IOWeight=50 ... # EXIT 0, NO ERROR, NO EFFECT
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.
- yesterday Changed · -17 lines · +39 tokens per session 673d1368d983
- 5d ago First seen · 240 lines · 96 tokens per session scan A ad7c7cf0a3a3
auto-balance is a skill published in the GitHub repository mr-tbot/Auto-Everything (7 stars, last pushed 4d ago), licensed MIT. It adds 135 tokens to every session and 3,169 once invoked, about $0.0007 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.
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