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.
git clone --depth 1 https://github.com/mercurialsolo/claudectlWrote 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/mercurialsolo/claudectl/brain-stats)<a href="https://agentmods.dev/commands/mercurialsolo/claudectl/brain-stats"><img src="https://agentmods.dev/badge/commands/mercurialsolo/claudectl/brain-stats/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/mercurialsolo/claudectl/brain-stats"><img src="https://agentmods.dev/badge/commands/mercurialsolo/claudectl/brain-stats.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 | $0.00019 | $0.00224 |
| Opus 5.5 | $0.00008 | $0.00090 |
| Sonnet 5.5 | $0.00004 | $0.00045 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
brain-stats 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
Show how well the claudectl brain is learning the user's preferences. The optional argument selects a specific metric view.
Available metrics (pass as argument, or show all if omitted):
learning-curve— is the correction rate declining over time? (= brain is learning)accuracy— per-tool, per-risk, per-project accuracy breakdownbaseline— brain vs. dumb static rules classifier comparisonfalse-approve— safety metric: how often does brain approve risky actions that get rejected?
Run the appropriate command:
- All metrics: run
claudectl --brain-stats learning-curvethenclaudectl --brain-stats accuracy - Specific metric: run
claudectl --brain-stats {{metric}}
Present the results highlighting:
- Whether the brain is improving over time
- Which tools the brain handles well vs. poorly
- Any safety concerns (high false-approve rates)
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 · 23 lines · 19 tokens per session scan A 78737efbd655
brain-stats is a command published in the GitHub repository mercurialsolo/claudectl (202 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 224 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 2026-08-30.
Other commands, from other repositories
computer
Drive a computer's screen, mouse, and keyboard.
unifly-audit
Read-only audit of UniFi WiFi security, firewall policy, and network isolation.
unifly-status
Read-only health check of UniFi infrastructure, including devices and alerts.
afsr
Review feature spec - improve the spec itself before implementation (shortcut for feature-spec-review).
aigon-feedback-triage
Run a triage loop for one feedback item with explicit human confirmation before writes.
mach12:issue-review
Read a GitHub issue and all comments, review the implementation plan, and present findings.