Borrowing it
Nothing to install: this file belongs to rudraptpsingh/axon. 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/rudraptpsingh/axon/master/.claude/commands/eval.mdgit clone --depth 1 https://github.com/rudraptpsingh/axonWrote 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/rudraptpsingh/axon/eval)<a href="https://agentmods.dev/commands/rudraptpsingh/axon/eval"><img src="https://agentmods.dev/badge/commands/rudraptpsingh/axon/eval/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/rudraptpsingh/axon/eval"><img src="https://agentmods.dev/badge/commands/rudraptpsingh/axon/eval.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 | $0.00000 | $0.00071 |
| Opus 5.5 | $0.00000 | $0.00028 |
| Sonnet 5.5 | $0.00000 | $0.00014 |
| Haiku 4.5 | $0.00000 | $0.00007 |
Grade A, and why
eval 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 2mo 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
Run the full evaluation script and report results.
Run: python3 scripts/eval_cpu_stress.py ./target/release/axon
Parse the output and report:
- Which checks passed/failed
- CPU baseline, peak, and recovery values
- Headroom transitions observed
- Any signal quality issues found
- Overall pass/fail verdict
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.
- 2mo ago First seen · 11 lines · 0 tokens per session scan A 8e24b6f7c0a9
eval is a command published in the GitHub repository rudraptpsingh/axon (9 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 71 tokens. 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
mt-impact
Shortcut to the canonical Memtrace impact analysis skill.
mt-onboard
Shortcut to the canonical Memtrace codebase exploration skill.
mt-preflight
Shortcut to the canonical Memtrace preflight skill.
mt-recall
Shortcut to the canonical Memtrace decision-memory skill.
intercom
List intercom peers and send a message to another coding-agent session.
intercom-id
Show this Claude session's stable intercom contact target.