crew

crew is a skill for Codex from Wang-Cankun/cankun-skills. It costs 71 tokens per session (2,320 once invoked), scanned A, original, MIT.

A skill for keeping one or more helper agents available in named panes, so you can consult them or watch them work. A pane is a separate visible workspace, and resident agents keep their context between requests.

In plain words
What is it for?
Use it to run a side consultant, a group comparing judgements, or a paired builder and reviewer.
Why use it?
It avoids restarting a helper for every question and makes ongoing discussion or review visible. Different agents can advise, compare opinions, or work as an executor and reviewer.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents; mentions Claude Code; reads ~/.codex paths.

Good fit Use it to run a side consultant, a group comparing judgements, or a paired builder and reviewer.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wang-cankun/cankun-skills/crew
Install

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.

Any agent
npx skills add Wang-Cankun/cankun-skills --skill crew
Clone the repo
git clone --depth 1 https://github.com/Wang-Cankun/cankun-skills

Made for: Codex.

Wrote 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.

agentmods badge for crew

README.md
[![agentmods](https://agentmods.dev/badge/skills/wang-cankun/cankun-skills/crew/github.svg)](https://agentmods.dev/skills/wang-cankun/cankun-skills/crew)
Your own site
<a href="https://agentmods.dev/skills/wang-cankun/cankun-skills/crew"><img src="https://agentmods.dev/badge/skills/wang-cankun/cankun-skills/crew/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.

agentmods 80×15 button for crew

Your own site · 80×15
<a href="https://agentmods.dev/skills/wang-cankun/cankun-skills/crew"><img src="https://agentmods.dev/badge/skills/wang-cankun/cankun-skills/crew.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,320 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 $0.00071 $0.02320
Opus 5.5 $0.00028 $0.00928
Sonnet 5.5 $0.00014 $0.00464
Haiku 4.5 $0.00007 $0.00232

Measured 2d ago against content hash dc3ba6697028, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

crew 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 2d ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/crew-burn.py, scripts/crew-ledger.py, scripts/crew-watch.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/crew/SKILL.md · 140 lines

How it starts

The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Crew

A crew is resident agents in Herdr panes: each keeps its context across turns, and the user and other windows reach it by name. This session is the coordinator. It designs the crew for the task in front of it and reshapes it as the work changes; this skill holds the rules every crew keeps and how to seat each model, not a workflow.

Read the user's crew preferences (~/.codex/agent-notes/crew.md, when present) before designing the crew: they set the coordinator's role, the flow of each unit and the review policy, and win over this skill where they differ.

The user decides: whether to open a crew; which models join, when the user names them; the points the user settles personally; anything destructive, outward-facing, or costly beyond what the card allows. Invoking this skill authorizes opening the panes the card lists.

Rules for any crew

  • Earn the seat. A resident agent joins when it brings what the coordinator lacks: a context to hold for later, a different model's eye, or work that runs in parallel on separate files. Work that needs none of these stays in this session or goes to a subagent or Workflow. Start from the smallest crew that covers the need; the coordinator can hold a seat itself, as the builder beside an outside reviewer or as one voice at a table. A model the user names gets the job it fits best; when none fits, say so before seating it.
  • One coordinator. It holds the goal and finish line, assigns work, accepts results and merges. It keeps the card at .work/crew/<run>/card.md, with .work/ in .git/info/exclude unless the repository already ignores it: goal and finish line, its own pane, each agent's name, model, pane and worktree, who may commit, merge or push, the budget and round cap when they matter, and what goes to the user. Show the card before starting unless the user already said go, and update it whenever the crew changes.
  • Stop rules with a floor. A lane's stop rule names a minimum sample and both a count and a rate (more than 3 failures and more than 3% after 30 calls), and the lane classifies each failure before counting it: a provider refusal, a malformed answer and a bug in its own checker call for different rulings. Rules without a floor stopped one lane three times, twice on a single failure or a bug in its own checker.
  • Independent lanes. Parallel lanes touch separate files; an agent that edits works in its own worktree and branch. The coordinator orders dependent work and says which lane waits. Worktrees still share the machine: the card gives each lane its own ports or a turn at a shared service or heavy test run, and an agent kills only processes it started, by PID.
  • Families for judgement. Seat a different model family where a shared blind spot costs most: a design, the review of a unit whose wrong accept is expensive, a check of the whole run against its goal. Throughput work goes to the model the project's rules name.
  • Evidence over reports. A result counts when the coordinator can see it: a commit, a file, a finished check's log. Another family's findings are claims: check each against the code or source and record the ruling beside it before another agent acts on it. When the claims are many, have each carry path:line, check the quotes and numbers against those lines with a script, and read what it flags.
  • Paths, not pastes. Every model works on the repository or worktree itself; a copy of the material is only for a model that cannot read it, since copies go stale and hide the rest. Messages carry file paths. An answer longer than a few lines goes to a file the reply names. Residents write at full length; a length limit belongs only to an Agent-tool subagent, whose return lands in your own context.
  • Arm a wait. A resident never messages back. After each prompt whose answer you need, arm a wait that notifies you: the prompt with --wait in the background, or a background loop until the expected file is new or rewritten since the prompt and herdr agent get shows idle or done, since a status file a lane reuses across stages already exists (scripts/crew-watch.sh checks both). Size the loop's limit to the work, as one synthesis ran 70 minutes; a loop that reaches it says so, and you re-arm it. Track each wait by the PID you recorded when you armed it, since a pgrep -f pattern also matches the loop's own command line. Tell the user what you are waiting on.
  • Address by roster. Reach an agent by a name or pane that herdr agent list or the card shows; when they leave the target open, ask the user.
  • Fresh context when it pays. Compact or reset an agent whose context has grown large or whose next work is unrelated. A coordinator whose own context is filling hands over through the card: it records there what is in flight and which waits are armed, stops its own watchers, and the fresh session starts from the card and re-arms them.
  • The user at decisions. Bring each decision when it arises, with the options and a recommendation; report progress at milestones, quietly otherwise, naming each running seat and armed wait by what it does or waits for.
  • Close what you opened once its work is merged or recorded. Side agents stay until the user retires them. When the user stops a crew, cancel the seats that just started, let a seat near its end finish without new model calls, start nothing new, and record on the card, per seat, what finished, what was cancelled and what is left undone.

Read the full file on GitHub · 140 lines

Files

What ships with it

8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago Changed · +17 lines dc3ba6697028
  2. 3d ago Changed · -27 lines · -4 tokens per session bf21c3dd7e6b
  3. 16d ago Changed · +9 lines 8aa5801dd513
  4. 17d ago First seen · 141 lines · 75 tokens per session scan A 80ba02c7d440

Subscribe to this mod's changes

crew is a skill published in the GitHub repository Wang-Cankun/cankun-skills (2 stars, last pushed yesterday), licensed MIT. It adds 71 tokens to every session and 2,320 once invoked, about $0.0003 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 2026-10-16.

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