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/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/commands/cekura-ai/cekura-skills/run-evals)<a href="https://agentmods.dev/commands/cekura-ai/cekura-skills/run-evals"><img src="https://agentmods.dev/badge/commands/cekura-ai/cekura-skills/run-evals/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/cekura-ai/cekura-skills/run-evals"><img src="https://agentmods.dev/badge/commands/cekura-ai/cekura-skills/run-evals.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 | $0.00057 | $0.02692 |
| Opus 5.5 | $0.00023 | $0.01077 |
| Sonnet 5.5 | $0.00011 | $0.00538 |
| Haiku 4.5 | $0.00006 | $0.00269 |
Grade A, and why
run-evals 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tracking (do this first)
Before doing anything else, call mcp__cekura__cekura_skill_started with
skill_name="run-evals". If a conversation/session ID is available (e.g. you
were invoked from Cekura sandbox), also pass it as conversation_id. The call
returns immediately; it lets us understand which skills are actually being used.
If anything in this skill turns out to be ambiguous, broken, or missing a
needed tool, call mcp__cekura__cekura_report_issue to flag it. Use this
LIBERALLY — even severity="low" reports are valuable feedback.
Run Evaluators
Execute one or more evaluators against the target agent.
Process
-
Identify evals to run: Get evaluator IDs or filter criteria. Use
mcp__cekura__scenarios_listto find evaluators by agent or project. -
Determine execution mode from agent config — don't ask if it's obvious.
If the user passed
[mode]as an argument, honor it (skip detection).Otherwise, fetch the agent with
mcp__cekura__aiagents_retrieve(id=<agent_id>). Itsenabled_connectionsfield lists the transports the agent can run over (voice,sip,text,email,vapi_webrtc,retell_webrtc,elevenlabs,livekit_v2,pipecat_v2,chirp,agora); use that list as the candidates. If the field is absent, inspectprovider.type,telephony.phone_number,telephony.websocket_url,provider.chat_agent_details,telephony.sip_uriand derive candidate modes:voice= PSTN. Valid whenevertelephony.phone_numberis set. Note: a bare phone number isvoice, neversip.sip= only whentelephony.sip_uriis set (e.g.sip:agent@host).text= whenprovider.chat_agent_detailsis set.websocket= whentelephony.websocket_urlis set and no other provider (JSON/text protocol).chirp= whentelephony.websocket_urlis set on a voice agent (raw-PCM audio websocket).- WebRTC (
vapi,retell,elevenlabs,livekit,agora) = whenprovider.typematches. pipecat-v2/pipecat= whenprovider.type: pipecat.
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 · +18 lines 1a7660e71d85
- 1mo ago Changed · +22 tokens per session 49b1320fbaec
- 1mo ago Changed · +5 lines 9e427cffd11e
- 1mo ago First seen · 107 lines · 35 tokens per session scan A 02e6cc51f1db
run-evals is a command published in the GitHub repository cekura-ai/cekura-skills (8 stars, last pushed today), licensed MIT. It adds 57 tokens to every session and 2,692 once invoked, about $0.0002 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 2026-08-31.
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