taskflow

A durable task-flow system for multi-step work that may continue after the current prompt or wait for separate tasks to finish.

In plain words
What is it for?
Use it for background jobs, waiting workflows, and plugin or tool work that needs to be resumed safely. It stores flow state but leaves branching and business rules to the calling code.
Why use it?
It keeps one owner, progress state, linked child tasks, and final status in one place across restarts or detached runs.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/the-open-agent/openagent/taskflow
Any agent
npx skills add the-open-agent/openagent --skill taskflow
Clone the repo
git clone --depth 1 https://github.com/the-open-agent/openagent

Made for: Claude Code, Codex.

Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,202 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00080 $0.01202
Opus 5 $0.00040 $0.00601
Sonnet 5 $0.00016 $0.00240
Haiku 4.5 $0.00008 $0.00120

Measured 2d ago against content hash 74d4e9c76f24, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

taskflow 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.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • taskflow — 97% identical, 2 lines differ
skills/taskflow/SKILL.md · 150 lines

How it starts

The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TaskFlow

Use TaskFlow when a job needs to outlive one prompt or one detached run, but you still want one owner session, one return context, and one place to inspect or resume the work.

When to use it

  • Multi-step background work with one owner
  • Work that waits on detached ACP or subagent tasks
  • Jobs that may need to emit one clear update back to the owner
  • Jobs that need small persisted state between steps
  • Plugin or tool work that must survive restarts and revision conflicts cleanly

What TaskFlow owns

  • flow identity
  • owner session and requester origin
  • currentStep, stateJson, and waitJson
  • linked child tasks and their parent flow id
  • finish, fail, cancel, waiting, and blocked state
  • revision tracking for conflict-safe mutations

It does not own branching or business logic. Put that in Lobster, acpx, or the calling code.

Current runtime shape

Canonical plugin/runtime entrypoint:

  • api.runtime.tasks.flow
  • api.runtime.taskFlow still exists as an alias, but api.runtime.tasks.flow is the canonical shape

Binding:

  • api.runtime.tasks.flow.fromToolContext(ctx) when you already have trusted tool context with sessionKey
  • api.runtime.tasks.flow.bindSession({ sessionKey, requesterOrigin }) when your binding layer already resolved the session and delivery context

Managed-flow lifecycle:

  1. createManaged(...)
  2. runTask(...)
  3. setWaiting(...) when waiting on a person or an external system
  4. resume(...) when work can continue
  5. finish(...) or fail(...)
  6. requestCancel(...) or cancel(...) when the whole job should stop

Design constraints

  • Use managed TaskFlows when your code owns the orchestration.
  • One-task mirrored flows are created by core runtime for detached ACP/subagent work; this skill is mainly about managed flows.
  • Treat stateJson as the persisted state bag. There is no separate setFlowOutput or appendFlowOutput API.
  • Every mutating method after creation is revision-checked. Carry forward the latest flow.revision after each successful mutation.
  • runTask(...) links the child task to the flow. Use it instead of manually creating detached tasks when you want parent orchestration.

Read the full file on GitHub · 150 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. 2d ago First seen · 150 lines · 80 tokens per session scan A 74d4e9c76f24

Subscribe to this mod's changes

taskflow is a skill published in the GitHub repository the-open-agent/openagent (5,596 stars, last pushed today), licensed Apache-2.0. It adds 80 tokens to every session and 1,202 once invoked, about $0.0004 per session on Opus 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.