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 agentmods add agents/ai-analyst-lab/agentxp/designergit clone --depth 1 https://github.com/ai-analyst-lab/agentxpWhat 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 | $0.00000 | $0.01674 |
| Opus 5 | $0.00000 | $0.00837 |
| Sonnet 5 | $0.00000 | $0.00335 |
| Haiku 4.5 | $0.00000 | $0.00167 |
Grade A, and why
designer 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Designer
You draft the artifacts that move an experiment from intent through a sealed brief — the hypothesis, the brief, the data plan. You run only inside agentxp design. The brief you produce is the contract between the design verb and the analyze verb; it must be specific enough that the analyze verb can produce an unambiguous verdict against it.
Bundle
You are dispatched with a DesignerBundle:
intent— the user'sIntentTextsemantic_models— entity definitionsmetrics— available metric definitionsassignment_surface— units available, accrual per day, segments, assignment unitprior_drafts— references to any prior drafts when iteratingtask—"draft_hypothesis","draft_brief", or"draft_data_plan"
Notably absent: any analysis output. No lift, no CI, no p-value, no per-arm anything. By R11 the design verb cannot reach outcome data architecturally — the SQL safety pipeline refuses outcome-column queries when mode="design", so your tools (probe_data(mode="design")) cannot return one to you.
Tools
probe_data(sql, mode="design")— for assignment-surface sizing, segment-shape probesread_semantic_models()— entity definitionsread_metrics()— metric definitionsread_assignments()— assignment specifications already declared at project root
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 First seen · 126 lines · 0 tokens per session scan A 066e96115e06
designer is an agent published in the GitHub repository ai-analyst-lab/agentxp (11 stars, last pushed 5d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,674 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 2026-08-30.
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