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 AgentWorkforce/relay --skill writing-relayflowsgit clone --depth 1 https://github.com/AgentWorkforce/relayWrote 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/agentworkforce/relay/writing-relayflows)<a href="https://agentmods.dev/skills/agentworkforce/relay/writing-relayflows"><img src="https://agentmods.dev/badge/skills/agentworkforce/relay/writing-relayflows/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/agentworkforce/relay/writing-relayflows"><img src="https://agentmods.dev/badge/skills/agentworkforce/relay/writing-relayflows.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 | $0.00184 | $0.03388 |
| Opus 5.5 | $0.00074 | $0.01355 |
| Sonnet 5.5 | $0.00037 | $0.00678 |
| Haiku 4.5 | $0.00018 | $0.00339 |
Grade A, and why
writing-relayflows 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 26d 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 — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Relayflows turns a coding-agent task into steps a journal can inspect, verify, and resume. A flow is data (YAML/JSON) or code (TypeScript) that compiles to the same journal-backed kernel spec. Every effect is journaled before it's treated as real — a journal write that fails fails the step, with no silent fallback.
Name collision warning. This repo also has skills for an older, unrelated engine that is also casually called "Relayflow" (singular) — @relayflows/core's WorkflowBuilder, a chained builder (workflow('name').pattern('dag').agent(...).step(...).run()). That's writing-agent-relay-workflows and migrating-persona-to-relayflow's territory. This skill is the v2 engine: @relayflows/surface's flow() function and the YAML/JSON dialect compiled by @relayflows/sdk. If you see .pattern(, .agent( as a chained builder call, or ctx.workflow.run(), you're in the other engine — stop and use one of those skills instead.
When to use this skill
- Writing a new
.flow.tsor.flow.yaml/.flow.jsonfor theflowsCLI (package@relayflows/sdk, binary nameflows). - Deciding whether a step needs
run(shell),llm(bare model call), oragent(harnessed coding agent in a workspace). - Wiring up
cli/modelfor anagentorllmstep, in either language. - Debugging a
REFUSED [...]message fromflows checkorflows run. - Choosing between TypeScript and YAML for a given flow.
The ladder
Three step verbs, one per rung — never more (packages/sdk/src/spec.ts, export type StepType = 'deterministic' | 'llm' | 'agent';):
run/deterministic— a shell command. No model. Implicit gate isexit_code == 0.llm/llm— a bare model call. Prompt in, verified output out. No workspace, no tool use.agent/agent— a harnessed coding agent in a workspace. Returns{ summary, artifacts }, not raw text.
Plus four resident verbs that aren't ladder rungs: human (durable approval), dispatch (hand off to a child flow), done (typed finish), and in YAML, on/triggers (event entry points — out of scope for this skill).
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.
- 26d ago First seen · 271 lines · 184 tokens per session scan A 941cbfb54a6e
writing-relayflows is a skill published in the GitHub repository AgentWorkforce/relay (885 stars, last pushed today), licensed Apache-2.0. It adds 184 tokens to every session and 3,388 once invoked, about $0.0007 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 2026-09-20.
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