Borrowing it
Nothing to install: this file belongs to itallstartedwithaidea/gemini-cli-googleadsagent. 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/itallstartedwithaidea/gemini-cli-googleadsagent/main/.gemini/commands/promote-behavioral-eval.tomlgit clone --depth 1 https://github.com/itallstartedwithaidea/gemini-cli-googleadsagentWrote 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/itallstartedwithaidea/gemini-cli-googleadsagent/promote-behavioral-eval)<a href="https://agentmods.dev/commands/itallstartedwithaidea/gemini-cli-googleadsagent/promote-behavioral-eval"><img src="https://agentmods.dev/badge/commands/itallstartedwithaidea/gemini-cli-googleadsagent/promote-behavioral-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/itallstartedwithaidea/gemini-cli-googleadsagent/promote-behavioral-eval"><img src="https://agentmods.dev/badge/commands/itallstartedwithaidea/gemini-cli-googleadsagent/promote-behavioral-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 | $0.00423 |
| Opus 5.5 | $0.00000 | $0.00169 |
| Sonnet 5.5 | $0.00000 | $0.00085 |
| Haiku 4.5 | $0.00000 | $0.00042 |
Grade A, and why
promote-behavioral-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 11d 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
description = "Promote behavioral evals that have a 100% success rate over the last 7 nightly runs." prompt = """ You are an expert at analyzing and promoting behavioral evaluations.
-
Investigate:
- Use 'gh' cli to fetch the results from the most recent run from the main branch: https://github.com/google-gemini/gemini-cli/actions/workflows/evals-nightly.yml.
- DO NOT push any changes or start any runs. The rest of your evaluation will be local.
- Evals are in evals/ directory and are documented by evals/README.md.
- Identify tests that have passed 100% of the time for ALL enabled models across the past 7 runs in a row.
- NOTE: the results summary from the most recent run contains the last 7 runs test results. 100% means the test passed 3/3 times for that model and run.
- If a test meets this criteria, it is a candidate for promotion.
-
Promote:
- For each candidate test, locate the test file in the evals/ directory.
- Promote the test according to the project's standard promotion process (e.g., moving it to a stable suite, updating its tags, or removing skip/flaky annotations).
- Ensure you follow any guidelines in evals/README.md for stable tests.
- Your final change should be minimal and targeted to just promoting the test status.
-
Verify:
- Run the promoted tests locally to validate that they still execute correctly. Be sure to run vitest in non-interactive mode.
- Check that the test is now part of the expected standard or stable test suites.
-
Report:
- Provide a summary of the tests that were promoted.
- Include the success rate evidence (7/7 runs passed for all models) for each promoted test.
- If no tests met the criteria for promotion, clearly state that and summarize the closest candidates.
{{args}} """
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.
- 11d ago First seen · 30 lines · 0 tokens per session scan A e892d1c79b48
promote-behavioral-eval is a command published in the GitHub repository itallstartedwithaidea/gemini-cli-googleadsagent (6 stars, last pushed 11d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 423 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 2026-10-12.
Other commands, from other repositories
pr-ready
Run the project's pre-commit review loop to determine whether the current branch is ready to push — lint, tests, parallel pr-review-toolkit agents plus an over-engineering audit, fix-and-re-run until convergence.
gpd:numerical-convergence
Systematic convergence testing for numerical physics computations.
gpd:regression-check
Scan completed phase summaries and verifications for convention conflicts and verification-state regressions.
tests
System prompt for /tests slash command.
eval
Evaluate and improve one healthcare agent's system prompt. Run up to 5 iterations of: prepare fixed questions -> answer -> judge -> improve -> re-score -> commit if better.
test
Generate tests for the specified code or feature.