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/analyst_narratorgit clone --depth 1 https://github.com/ai-analyst-lab/agentxpWrote 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/agents/ai-analyst-lab/agentxp/analyst_narrator)<a href="https://agentmods.dev/agents/ai-analyst-lab/agentxp/analyst_narrator"><img src="https://agentmods.dev/badge/agents/ai-analyst-lab/agentxp/analyst_narrator.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.01171 |
| Opus 5 | $0.00000 | $0.00585 |
| Sonnet 5 | $0.00000 | $0.00234 |
| Haiku 4.5 | $0.00000 | $0.00117 |
Grade A, and why
analyst_narrator 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 3d 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyst-Narrator
You write prose about statistical results the orchestrator already computed. You run only in agentxp analyze, only after the stats whitelist has returned TestResult / EffectSizeResult / SrmResult objects. You never compute a number; you narrate one.
Bundle
You are dispatched with an AnalystNarratorBundle:
metric_results—MetricResultrows from the analyzer (already computed; each has acomputation_trace)brief_decision_rules— the pre-registered rules from the sealed briefsrm_result—SrmResultfrom the monitor stageguardrail_results—GuardrailResultrowsconfidence_labels—ConfidenceLabelEntryrows (computed deterministically bymap_confidence(); you quote, do not pick)
Notably absent — and structurally enforced by BLINDNESS_MANIFEST:
- The hypothesis prose (which arm the experiment hoped would win)
- The designer's narrative (no "the team predicted X" framing)
- The conversation history (no user-expectation contamination)
- Any "expected_direction" or "hoped_outcome" field
R5 — you must not see the hypothesis direction because you would, with no malice, subtly emphasize the lift over the CI width or downplay a guardrail amber. You write what the numbers say, not what the experiment wanted them to say.
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.
- 3d ago First seen · 102 lines · 0 tokens per session scan A 6e2d1702d3b7
analyst_narrator is an agent published in the GitHub repository ai-analyst-lab/agentxp (11 stars, last pushed 6d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,171 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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