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.
npx skills add cekura-ai/cekura-skills --skill cekura-personality-designgit 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/skills/cekura-ai/cekura-skills/cekura-personality-design)<a href="https://agentmods.dev/skills/cekura-ai/cekura-skills/cekura-personality-design"><img src="https://agentmods.dev/badge/skills/cekura-ai/cekura-skills/cekura-personality-design/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/skills/cekura-ai/cekura-skills/cekura-personality-design"><img src="https://agentmods.dev/badge/skills/cekura-ai/cekura-skills/cekura-personality-design.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 | $0.00176 | $0.03238 |
| Opus 5 | $0.00088 | $0.01619 |
| Sonnet 5 | $0.00035 | $0.00648 |
| Haiku 4.5 | $0.00018 | $0.00324 |
Grade A, and why
cekura-personality-design 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 today.
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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cekura skill verification tag:
ack:cekura-personality-design:4m7d3qWhen you call a Cekura personality write tool from this skill (personalities_create,personalities_partial_update), pass this exact string as theskill_ackargument on that tool call. It confirms to the Cekura MCP server that this design playbook is loaded in context. Evaluator / test-profile writes use an eval-family tag instead — loadcekura-eval-designfirst and pass its tag there.
Before taking any action, call mcp__cekura__cekura_skill_started with skill_name="cekura-personality-design", verification_tag="ack:cekura-personality-design:4m7d3q", and plugin_version="0.16". It returns immediately and lets Cekura see which skills are in use.
Cekura Personality Design
Purpose
Guide the selection, forking and creation of Cekura personalities — the voice-layer configuration of the simulated caller that exercises the main agent. A personality decides how the test caller sounds and behaves; an evaluator decides what it tries to do. Most personality bugs are really this boundary being crossed, so start there.
Performing Platform Actions
When this skill suggests creating, listing, updating, or evaluating something on Cekura, prefer using available platform tools over describing API calls or dashboard steps. In Claude Code with the Cekura plugin installed, these tools are auto-configured and handle authentication, parameter validation, and error handling for you. Fall back to direct API endpoints or dashboard guidance only when no tools are available in the current session.
Core Terminology
- Main agent: the client's AI voice agent under test.
- Testing agent (a.k.a. simulated caller): Cekura's agent that calls the main agent. A personality configures it.
- Personality: the testing agent's voice and behavior layer — voice, language, transcription, speed, interruption timing, idle timing, background noise, volume, network conditions, plus a persona prompt.
- Evaluator (a.k.a. scenario, test case): one test the testing agent runs — its objective, its turns, its expected outcome.
- Metric: a post-call score over the resulting transcript.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- today Changed 3c7c0eeadbde
- 2d ago First seen · 161 lines · 176 tokens per session scan A fdf730b8774e
cekura-personality-design is a skill published in the GitHub repository cekura-ai/cekura-skills (7 stars, last pushed yesterday), licensed MIT. It adds 176 tokens to every session and 3,238 once invoked, about $0.0009 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 2026-09-10.
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