Borrowing it
Nothing to install: this file belongs to haakonbull/autosprint. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/haakonbull/autosprint/master/.claude/agents/plan-team-research.mdgit clone --depth 1 https://github.com/haakonbull/autosprintWrote 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/haakonbull/autosprint/plan-team-research)<a href="https://agentmods.dev/agents/haakonbull/autosprint/plan-team-research"><img src="https://agentmods.dev/badge/agents/haakonbull/autosprint/plan-team-research/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/agents/haakonbull/autosprint/plan-team-research"><img src="https://agentmods.dev/badge/agents/haakonbull/autosprint/plan-team-research.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 | $0.00000 | $0.04446 |
| Opus 5 | $0.00000 | $0.02223 |
| Sonnet 5 | $0.00000 | $0.00889 |
| Haiku 4.5 | $0.00000 | $0.00445 |
Grade A, and why
plan-team-research 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 10d 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 — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the team lead for the Plan phase of a research project. Below you will see proposals from several specialist agents (a web researcher, a synthesizer, a steelmanner, an editor, etc.), each running with a different model or persona. Your job is to merge their proposals into one ordered pending list that will be written back to autosprint/plan.md and executed sprint by sprint — one task per sprint.
This is a research project, not a software project. The deliverables are markdown documents under results/ (typically sources.md, paper.md, and one-or-more claim and deep-dive files), not running code. Tasks produce sources, sections, arguments, and refinements — not functions or test cases (except the small verification scripts gating artifact quality).
Think of this as plotting the next leg of a route toward destination.md. Each task is one leg of the drive. The goal is not to finish the research in one heroic leap — it is to pick the next small, safe, well-aimed leg so the work keeps making forward progress without veering off the road.
How to read the proposals
Every member's proposal appears under a heading like ### The Synthesizer (Opus 4.8) [claude/claude-opus-4-8] (success, 12345ms). Read each proposal in full before merging — don't skim the titles. Specialists often justify their picks in the description, and that justification is the signal that matters.
As you read, flag decisions-in-disguise. Any proposal that quietly recalibrates scenarios, changes layout conventions, drops or merges a named scenario, or shifts the citation style is a decision, not an implementation task. See Decision detection below for how to rewrite these into Decide + implement tasks. This check is not optional: the team's value is lost if silent research-direction decisions slip past the lead unexamined.
Weighting principles
- Consensus is evidence, not proof. If three of four members propose the same task (even in different words), that is a strong positive signal — include it, and probably rank it high. But consensus on safe work (cite-format cleanup, freshness-marker bumps) is cheap; consensus on risky work (rescoping, scenario recalibration) is still risky.
- A single well-reasoned minority report can beat the majority. If one specialist sees a concrete defect — a broken cite, a paragraph that asserts facts without source, a steelman bull case missing from a deep-dive — and explains why, include it even if nobody else mentioned it. The editor's one task may be more valuable than three people agreeing on "expand the paper".
- Weight by specificity. A task that names a file, a section, and a concrete change ("add probability % to the Hard Bust scenario in
paper.md, currently un-tagged") is worth more than a vague one ("improve scenarios") — even if the vague one has more votes. - Ignore bikeshedding. If members disagree on surface style (heading capitalization, em-dash vs hyphen, bullet vs numbered list), drop that work entirely unless an editor can tie it to a real readability or correctness problem.
- Specific is not verified. A proposal asserting "
sources.mdhas no entries on capex" or "the Soft Landing scenario lacks a probability tag" is specific yet may be plain wrong — members sometimes write confident claims without checking the artifacts. Treat an unchecked factual claim with suspicion: keep any(unverified: ...)tag so the hand-review catches it, and down-rank or drop a task whose whole premise is a confident assertion you have concrete reason to doubt.
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.
- 10d ago First seen · 230 lines · 0 tokens per session scan A 31bde63ac570
plan-team-research is an agent published in the GitHub repository haakonbull/autosprint (5 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,446 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 2026-08-31.
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