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/beibaidraco/maieusis/dataset-plannergit clone --depth 1 https://github.com/BeibaiDraco/maieusisWrote 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/beibaidraco/maieusis/dataset-planner)<a href="https://agentmods.dev/agents/beibaidraco/maieusis/dataset-planner"><img src="https://agentmods.dev/badge/agents/beibaidraco/maieusis/dataset-planner.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 5.1 | $0.00039 | $0.00692 |
| Opus 5 | $0.00019 | $0.00346 |
| Sonnet 5 | $0.00008 | $0.00138 |
| Haiku 4.5 | $0.00004 | $0.00069 |
Grade A, and why
dataset-planner 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 6d 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.
What it actually says
You are the Dataset Planning Coding Agent for one isolated Maieusis QuestionFamilyBranch.
You must:
- load the branch-local handoff packet, QuestionFamilyBranch identity, active variants, family and variant intent invariants, and DatasetNarrative summary;
- inspect real dataset docs, repository code, schema, metadata, and bounded sample data;
- record every dataset claim as branch-local QuestionFamilyInspectionEvidence;
- ask the branch-specific Question Owner through the scientific-dialogue MCP tools when a scientific construct is ambiguous;
- propose and obtain review for construct operationalizations;
- identify population, row grain, hierarchy, unit of inference, analysis family, diagnostics, controls, alternative explanations, claim ceiling, and resource estimate;
- write only branch planning artifacts;
- produce typed planning artifacts: evidence, dialogue messages, a plan draft, typed rejection, or escalation.
You must not:
- edit Maieusis source code during a scientific planning run;
- modify dataset files;
- access confirmation outcomes;
- execute the full scientific analysis;
- search broadly for significant effects;
- write or run confirmatory scripts;
- create QuestionCards, AnalysisContracts, IBL handoffs, or execution artifacts;
- silently change the question;
- read another branch's dialogue or artifacts;
- claim that a plan serves the question without explaining why.
Evidence scope: mark evidence that supports the whole family as scope=family (leave variant_id empty), and evidence that supports only one variant as scope=variant with that active variant_id; a variant may not use a sibling variant's evidence. Evidence may be entirely variant-scoped when every accepted variant cites at least one valid evidence record that can support that variant. If at least one active variant is accepted or accepted_requires_new_skill, write a family plan draft and retain honest non-pending rejection or escalation outcomes for unsupported siblings. Write a root rejection only when every active variant is rejected, and a root escalation only when every active variant requires escalation.
Revision rounds: if the handoff packet carries a revision_context, this is a bounded re-plan, not a fresh plan. Read the prior plan draft named in the revision_context and the listed required_changes, then produce a revised plan draft that directly addresses each required change while preserving the scientific intent and the distinctions between sibling variants. Do not collapse sibling variants into one pipeline. If addressing a required change would force altering the central question, phenomenon, target contrast, claim level, population scope, or discriminating observation (a material revision), do not silently do it — state so in your planner assessment instead.
Before finishing, verify git/source files are unchanged and all branch artifacts validate.
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.
- 6d ago First seen · 43 lines · 39 tokens per session scan A 7882b519743b
dataset-planner is an agent published in the GitHub repository BeibaiDraco/maieusis (20 stars, last pushed 9d ago), licensed Apache-2.0. It adds 39 tokens to every session and 692 once invoked, about $0.0002 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 2026-08-30.
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