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.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)<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>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 | $0.05737 |
| Opus 5 | $0.00000 | $0.02868 |
| Sonnet 5 | $0.00000 | $0.01147 |
| Haiku 4.5 | $0.00000 | $0.00574 |
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.
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
- 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.
- 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."
- Weight by specificity. A task that names a file, a function, and a
concrete change ("add retry with exponential backoff to
query_agentfor transient 5xx errors") is worth more than a vague one ("improve reliability") — even if the vague one has more votes. - 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.
- 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.
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.
- 7d ago First seen · 370 lines · 0 tokens per session scan A 21590267d03d
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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