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/druide67/asiai/comparegit clone --depth 1 https://github.com/druide67/asiaiWrote 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/druide67/asiai/compare)<a href="https://agentmods.dev/commands/druide67/asiai/compare"><img src="https://agentmods.dev/badge/commands/druide67/asiai/compare.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 | $0.00022 | $0.00307 |
| Opus 5 | $0.00011 | $0.00153 |
| Sonnet 5 | $0.00004 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
compare 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 4d 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
asiai compare
Compare your local benchmarks against community data.
Usage
asiai compare [options]
Options
| Option | Description |
|---|---|
--chip CHIP |
Apple Silicon chip to compare against (default: auto-detect) |
--model MODEL |
Filter by model name |
--db PATH |
Path to local benchmark database |
Example
asiai compare --model qwen3.5
Compare: qwen3.5 — M4 Pro
Engine Your tok/s Community median Delta
────────── ──────────── ────────────────── ────────
lmstudio 72.6 70.1 +3.6%
ollama 30.4 31.0 -1.9%
Chip: Apple M4 Pro (auto-detected)
Notes
- If
--chipis not specified, asiai auto-detects your Apple Silicon chip. - Delta shows the percentage difference between your local median and the community median.
- Positive deltas mean your setup is faster than the community average.
- Local results come from your benchmark history database (
~/.local/share/asiai/benchmarks.dbby default).
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.
- 4d ago First seen · 46 lines · 22 tokens per session scan A bcdbacdb3ebe
compare is a command published in the GitHub repository druide67/asiai (11 stars, last pushed 5d ago), licensed Apache-2.0. It adds 22 tokens to every session and 307 once invoked, about $0.0001 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 2026-08-30.
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