crewplane: Skill for Claude Code

.agents/skills/create-workflows/SKILL.md

create-workflows is a skill for Claude Code, Codex from crewplaneai/crewplane. It costs 91 tokens per session (6,391 once invoked), scanned A, original, Apache-2.0.

A method for creating portable Markdown workflow files that connect independent AI tasks into a directed graph, where each task can pass files or other results to later tasks.

In plain words
What is it for?
Use it to inspect existing workflow formats, define tasks and dependencies, assign provider identifiers, connect artifacts, add reusable inputs, and include review or validation steps.
Why use it?
It makes multi-agent work explicit, reviewable, and easier to validate across projects.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is crewplaneai/crewplane's own configuration. It tells Claude Code and Codex how to work on crewplane 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 crewplane configures →

Reuse

Borrowing it

Nothing to install: this file belongs to crewplaneai/crewplane. 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/crewplaneai/crewplane/master/.agents/skills/create-workflows/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/crewplaneai/crewplane

Made for: Claude Code, 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 create-workflows

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/crewplaneai/crewplane/create-workflows"><img src="https://agentmods.dev/badge/skills/crewplaneai/crewplane/create-workflows.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,391 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Prompt Injection · line 300
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • high Prompt Injection · line 329
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
How audits are shown
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 $0.00091 $0.06391
Opus 5.5 $0.00036 $0.02556
Sonnet 5.5 $0.00018 $0.01278
Haiku 4.5 $0.00009 $0.00639

Measured 1mo ago against content hash 69e98efd345d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

create-workflows 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 1mo 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.

.agents/skills/create-workflows/SKILL.md · 710 lines

How it starts

The opening of the file, as written. The whole thing — 710 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create Workflows

Goal

Create self-contained .task.md workflows that coordinate independent AI provider invocations through explicit files and artifacts. Treat workflow files as infrastructure: declarative, reviewable, deterministic to validate, and portable across projects that use the same workflow format.

Authoring Workflow

  1. Inspect the target project before writing.

    • Find existing .task.md workflows and the workflow schema version if they exist.
    • Reuse provider IDs supplied by the user, already present in existing workflows, or configured in the target project. If none are available, use clear placeholders such as planner, builder, and reviewer and call out that the user must replace them.
    • Do not create or modify provider setup or other non-workflow files.
    • Keep the workflow independent of the skill location and do not reference implementation source files as required context.
  2. Define the graph before writing prompts.

    • State the workflow goal, final deliverable, and validation gate.
    • Split work into nodes with explicit ownership and artifact handoff.
    • Add needs only where data or ordering is required. Independent roots should stay parallelizable.
    • Use upstream artifacts for handoff; do not assume providers share memory, sessions, or hidden state.
    • Keep each node's context bounded. Prefer artifact paths, concise findings, or exact file references over repeatedly inlining large upstream outputs.
    • For research, planning, and design work whose complete result matters to a dependent node, pass {{upstream.output_path}} and tell the consumer to open it. Do not reduce the canonical handoff to findings and risk losing detail.
  3. Choose node modes conservatively.

    • Use mode: parallel for a normal one-shot invocation with one provider, or when multiple executor providers can run the same prompt independently and their outputs can be consolidated afterward.
    • Keep multi-provider parallel tasks and independent DAG roots read-only unless concurrent mutations are provably disjoint. Add needs edges to serialize nodes that may edit the same project files.
    • Use single-provider mode: sequential only for ordered repeated passes. Its depth is the total invocation count, and one pass's Markdown output is not automatically injected into the next pass. Omitted depth means one pass.
    • Use multi-provider mode: sequential for executor/reviewer loops.
    • Use mode: input for reusable raw-file boundaries. Input nodes have no Markdown body section. An input that remains in the composed workflow must have source; an import-required input may omit it when an importer binds it.
    • Keep DAG concurrency distinct from node mode: independent ready nodes can run concurrently even when each node is sequential.

Read the full file on GitHub · 710 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. 1mo ago First seen · 710 lines · 91 tokens per session scan A 69e98efd345d

Subscribe to this mod's changes

create-workflows is a skill published in the GitHub repository crewplaneai/crewplane (44 stars, last pushed today), licensed Apache-2.0. It adds 91 tokens to every session and 6,391 once invoked, about $0.0004 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 2026-08-30.

Related

Other skills, from other repositories

forming-an-openrig-mental-model

Use when the system around you does not make sense yet: you just booted into a seat and do not know how the pieces fit; someone said rig, pod, seat, fleet, topology, or slice and you are not certain what they mean here; you are unsure what kind of rig you are in or what it is for; you do not know how skills reach you…

mvschwarz/openrig · 117 tokens

orienting-to-an-inherited-seat

Use when you have just been primed into an EXISTING seat through a planned handover — a different agent retired and handed you the seat plus its earned context — and you need a world model of what just happened to you. Covers how a handover differs from compaction and from a fresh launch, the…

mvschwarz/openrig · 207 tokens

agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a…

mvschwarz/openrig · 108 tokens

applying-a-permission-policy

Use before launching a team during agent-guided setup, or when a user asks to configure OpenRig command permissions, reduce repeated native approval prompts, or apply a selected rig/seat permission policy.

mvschwarz/openrig · 46 tokens

messaging-the-human

Use when project policy calls for a human decision or update, a human delivery is pending or failed, or a reply must resume the right work.

mvschwarz/openrig · 34 tokens

openrig-upgrade

Use when an agent is preparing or performing an OpenRig CLI/daemon upgrade and must preserve live seats, verify each mutation, or reconcile managed plugin and skill files without overwriting local work.

mvschwarz/openrig · 43 tokens