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 skills add hidobeats/hido-claude-kit --skill auto-teamgit clone --depth 1 https://github.com/hidobeats/hido-claude-kitWrote 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/skills/hidobeats/hido-claude-kit/auto-team)<a href="https://agentmods.dev/skills/hidobeats/hido-claude-kit/auto-team"><img src="https://agentmods.dev/badge/skills/hidobeats/hido-claude-kit/auto-team/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/skills/hidobeats/hido-claude-kit/auto-team"><img src="https://agentmods.dev/badge/skills/hidobeats/hido-claude-kit/auto-team.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 | $0.00026 | $0.01647 |
| Opus 5.5 | $0.00010 | $0.00659 |
| Sonnet 5.5 | $0.00005 | $0.00329 |
| Haiku 4.5 | $0.00003 | $0.00165 |
Grade A, and why
auto-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 2mo 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 — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auto Team
Orchestrate parallel agent work using native TeamCreate, TaskCreate, and Agent tools with worktree isolation. Each teammate works in an isolated git worktree; results merge into an integration branch.
When to Use
ALL must be true:
- 3+ independent parts that can run in parallel
- Parts touch different files/modules (no shared-file edits)
- Task would take >30 min sequentially
Do NOT use when:
- Single file edit, small bug fix, simple feature
- Parts depend on each other sequentially
- User explicitly wants single-session work
- Dirty working tree (commit or stash first)
digraph decision {
"3+ independent parts?" [shape=diamond];
"Touch different files?" [shape=diamond];
">30 min sequential?" [shape=diamond];
"Use auto-team" [shape=box];
"Use single session" [shape=box];
"3+ independent parts?" -> "Touch different files?" [label="yes"];
"3+ independent parts?" -> "Use single session" [label="no"];
"Touch different files?" -> ">30 min sequential?" [label="yes"];
"Touch different files?" -> "Use single session" [label="no"];
">30 min sequential?" -> "Use auto-team" [label="yes"];
">30 min sequential?" -> "Use single session" [label="no"];
}
Workflow
Phase 0: Preflight (NEVER skip)
git rev-parse --git-dir # Must be a git repo
git status --porcelain # Must be clean — if dirty, ask user to commit/stash
git branch --show-current # Record as ORIGINAL_BRANCH for rollback
git worktree list # Check no conflicts
Stop and inform user if any check fails.
Phase 1: Plan & Approve
Present plan to user, wait for confirmation:
I'll split this into [N] parallel tasks:
1. [task] -> feature/[name] (opus — complex logic)
2. [task] -> feature/[name] (sonnet — implementation)
3. [task] -> feature/[name] (sonnet — tests)
Integration branch: feature/integration-[project]
Cost: ~[N]x single session tokens
Proceed?
3-4 teammates max for cost efficiency.
Phase 2: Create Integration Branch
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.
- 2mo ago First seen · 236 lines · 26 tokens per session scan A 8d4bbebf16fe
auto-team is a skill published in the GitHub repository hidobeats/hido-claude-kit (2 stars, last pushed 7mo ago), licensed MIT. It adds 26 tokens to every session and 1,647 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
auto-team compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| auto-teamhidobeats/hido-claude-kit | Skill | 2 | 7mo ago | MIT | A | 26 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |