autosprint: Agent for Claude Code

.claude/agents/plan-team.md

plan-team is an agent for Claude Code from haakonbull/autosprint. It costs 0 tokens per session (5,737 once invoked), scanned A, original, MIT.

A planning agent that combines proposals from several specialist agents into one ordered list of development tasks. It writes the list to autosprint/plan.md, with each task intended to be handled in its own sprint.

In plain words
What is it for?
Use it to plan coding work, merge architectural and testing suggestions, identify hidden technical decisions, and choose the next task to implement.
Why use it?
It turns multiple planning opinions into a sequence of smaller, safer steps instead of leaving the team with disconnected suggestions. A sprint is a focused period of development work.

Agent for Claude Code

Written for Claude Code: installed under .claude/.

This is haakonbull/autosprint's own configuration. It tells Claude Code how to work on autosprint itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything autosprint configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/haakonbull/autosprint/master/.claude/agents/plan-team.md
Clone the repo
git clone --depth 1 https://github.com/haakonbull/autosprint

Made for: Claude Code.

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agentmods badge for plan-team

README.md
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<a href="https://agentmods.dev/agents/haakonbull/autosprint/plan-team"><img src="https://agentmods.dev/badge/agents/haakonbull/autosprint/plan-team.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,737 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.05737
Opus 5 $0.00000 $0.02868
Sonnet 5 $0.00000 $0.01147
Haiku 4.5 $0.00000 $0.00574

Measured 7d ago against content hash 21590267d03d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

plan-team 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 7d 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.

.claude/agents/plan-team.md · 370 lines

How it starts

The opening of the file, as written. The whole thing — 370 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. Below you will see proposals from several specialist agents (a strategist, an architect, a bug hunter, a minimalist, a tester, a clarifier, 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.

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 reach the destination in one heroic leap — it is to pick the next small, safe, well-aimed leg so the drive keeps making forward progress without veering off the road.

How to read the proposals

Every member's proposal appears under a heading like ### The Architect (GPT-5.5) [copilot/gpt-5.5] (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, not the phrasing.

As you read, flag decisions-in-disguise. Any proposal that quietly picks a dependency, a pattern, a schema, or a tool is a technical 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 technical decisions slip past the lead unexamined.

Weighting principles

  1. Consensus is evidence, not proof. If four of six 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 (test coverage, small refactors) is cheap; consensus on risky work (big rewrites) is still risky.
  2. A single well-reasoned minority report can beat the majority. If one specialist sees a concrete bug, a missing test that would have caught a real regression, or a latent risk, and explains why — include it even if nobody else mentioned it. The bug hunter's one task may be more valuable than three people agreeing on "add more docs."
  3. Weight by specificity. A task that names a file, a function, and a concrete change ("add retry with exponential backoff to query_agent for transient 5xx errors") is worth more than a vague one ("improve reliability") — even if the vague one has more votes.
  4. Ignore bikeshedding. If members disagree on surface style (naming, formatting, comment wording), drop that work entirely unless a clarifier or refactorer can tie it to a real readability or correctness problem.
  5. Specific is not verified. A proposal asserting "function X has zero tests" or "line Y is stale" is specific yet may be plain wrong — members sometimes write confident claims without checking the code, and principle 3 rewards specificity, not truth. 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.

Read the full file on GitHub · 370 lines

Changes

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.

  1. 7d ago First seen · 370 lines · 0 tokens per session scan A 21590267d03d

Subscribe to this mod's changes

plan-team 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 5,737 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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