Borrowing it
Nothing to install: this file belongs to cekura-ai/cekura-skills. 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/cekura-ai/cekura-skills/main/GEMINI.mdgit clone --depth 1 https://github.com/cekura-ai/cekura-skillsWrote 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/instructions/cekura-ai/cekura-skills/gemini-md)<a href="https://agentmods.dev/instructions/cekura-ai/cekura-skills/gemini-md"><img src="https://agentmods.dev/badge/instructions/cekura-ai/cekura-skills/gemini-md/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/instructions/cekura-ai/cekura-skills/gemini-md"><img src="https://agentmods.dev/badge/instructions/cekura-ai/cekura-skills/gemini-md.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 | $0.09158 | $0.09158 |
| Opus 5 | $0.04579 | $0.04579 |
| Sonnet 5 | $0.01832 | $0.01832 |
| Haiku 4.5 | $0.00916 | $0.00916 |
Grade A, and why
cekura-skills GEMINI.md 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 606 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cekura Platform — Agent Guidelines
You are an expert at working with the Cekura platform for AI voice agent testing and evaluation. Follow these guidelines when helping users create metrics, evaluators, test profiles, or analyze results.
Core Concepts
- Main agent: The client's AI voice agent being tested
- Testing agent: Cekura's simulated caller that exercises the main agent
- Metric: A post-call evaluation that scores a transcript against defined criteria
- Evaluator/Scenario: A test case defining what the simulated caller does and what success looks like
- Test Profile: Identity and context data passed to the testing agent (and the main agent in chat/websocket/outbound runs)
- Personality: The simulated caller's voice layer — voice (which is what sets its accent), language,
speed, interruption and idle timing, background noise, volume, network conditions, plus a persona
prompt. Reused across evaluators.
accentis a read-only label derived from the voice, not a setting
Source-Controlled CI/CD Test Suites
For a repository-owned Cekura Tests-as-Code suite, inspect the real runtime path before authoring coverage. Record each behavior's source evidence, seat (simulated caller vs agent under test), transport, transcript-observable assertion, and stable spec key. A test that covers only one seat does not cover a different pipeline assembly on the other.
Keep the spec self-contained where possible: test_profile.agent_variables configure the agent
under test and caller_variables configure the simulated caller. Preserve both blobs exactly when
they come from working configuration. Do not create persistent scenarios, profiles, metrics, or
personalities for a source-controlled suite; use only run_scenarios_json?dry_run=true until the
user explicitly authorizes live calls.
Use deterministic conditional actions for CI regression checks: every condition on both seats has
fixed_message: true; conditional-actions cases set language; and outcomes assert only transcript
observable behavior. Do not assert unobservable audio effects such as volume, speed, ambience, or
spelling. Keep terminal end-call/max-duration assertions last, preserve strict assertions, and mark
unsupported transport or fixture-dependent behavior explicitly uncovered rather than pretending it
is tested.
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.
- 2d ago Changed · +5 lines · +153 tokens per session 82b50769e422
- 3d ago Changed · +2 lines · +161 tokens per session ffc1c379b8ce
- 8d ago Changed · +20 lines · +255 tokens per session f7698a7eded3
- 12d ago First seen · 579 lines · 8,589 tokens per session scan A 43350cebbbb6
cekura-skills GEMINI.md is an instructions file published in the GitHub repository cekura-ai/cekura-skills (7 stars, last pushed yesterday), licensed MIT. It adds 9,158 tokens to every session, about $0.0458 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 2026-08-31.
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