Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add avelikiy/great_cto/plugin install great-ctoWrote 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/avelikiy/great_cto/gov-metrics)<a href="https://agentmods.dev/commands/avelikiy/great_cto/gov-metrics"><img src="https://agentmods.dev/badge/commands/avelikiy/great_cto/gov-metrics/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/avelikiy/great_cto/gov-metrics"><img src="https://agentmods.dev/badge/commands/avelikiy/great_cto/gov-metrics.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 | $0.00047 | $0.00457 |
| Opus 5 | $0.00023 | $0.00229 |
| Sonnet 5 | $0.00009 | $0.00091 |
| Haiku 4.5 | $0.00005 | $0.00046 |
Grade A, and why
gov-metrics scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
/gov-metrics — does the gate actually gate?
great_cto's moat is mechanical governance. A gate you can't measure is a vibe, not a control. This reports the numbers (idea adapted from SantanderAI/mech-gov-framework):
- Block rate — share of gate decisions that blocked.
- Override / waiver rate — blocks a human bypassed.
- False-block proxy — blocked-then-passed-unchanged (gate noise / over-firing).
- R2 mechanical share — verdicts enforced by CI/script (the moat) vs R1 textual (a reviewer's prose judgment). High R1 share = gates lean on vibes, not enforcement.
- Median time-in-gate — minutes between consecutive gate decisions on a feature.
Run
PT="${CLAUDE_PLUGIN_ROOT:-$(ls -d ~/.claude/plugins/cache/*/great_cto/*/ 2>/dev/null | sort -V | tail -1 | sed 's|/$||')}"
[ -d "$PT" ] || PT="$(pwd)"
node "$PT/scripts/lib/gov-metrics.mjs" $ARGUMENTS
--since 30d limits the window; --json emits machine-readable output for the board.
Present
Show the CTO the table, then one sentence of so-what:
- R2 share < 40% → "gates lean on prose — move judgment into enforced checks."
- false-block proxy > 30% → "gates over-fire — calibrate severity (anti-inflation)."
- block rate ~0% over many decisions → "the gate never says no — is it real?"
Governance is the product. These numbers are how you prove it.
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.
- 3d ago Changed a0b2d1153c7b
- 7d ago First seen · 39 lines · 47 tokens per session scan A 26c57d265428
gov-metrics is a command published in the GitHub repository avelikiy/great_cto (92 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 457 once invoked, about $0.0002 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 2026-09-03.
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