task

A command-line task manager for recording AI or human coding work and its progress.

In plain words
What is it for?
Use it to create, list, update, start, resume, fork, complete, or fail tasks, and to attach notes and results.
Why use it?
It keeps goals, notes, results, and lifecycle states in one place instead of leaving them scattered across conversations.

Command

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 commands/d4rkninja/infynon-cli/task
Clone the repo
git clone --depth 1 https://github.com/d4rkNinja/infynon-cli
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 727 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 $0.00000 $0.00727
Opus 5 $0.00000 $0.00364
Sonnet 5 $0.00000 $0.00145
Haiku 4.5 $0.00000 $0.00073

Measured 2d ago against content hash f82a9546630c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

task 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.

docs/commands/task.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

task

Use task to manage AI coding tasks.

When to use

Use tasks when you want AI agents or humans to work with clear goals, constraints, notes, results, and lifecycle state.

Basic usage

infynon task <subcommand>

Common commands

Command Description
infynon task create <id> --mutate Create a new task
infynon task list List tasks
infynon task show <task-id> Show task details
infynon task update <task-id> --mutate Update task metadata
infynon task note <task-id> --mutate --text <text> Add task note
infynon task result <task-id> --mutate --text <text> Add task result
infynon task fork <new-id> --from <task-id> --mutate Create a child task
infynon task start <task-id> --mutate Mark task running and start agent hook
infynon task resume <task-id> --mutate Resume saved agent session
infynon task complete <task-id> --mutate --result <text> Mark task complete
infynon task fail <task-id> --mutate --reason <text> Mark task failed
infynon task kill <task-id> --mutate --pid <pid> Kill task process
infynon task remove <task-id> --mutate Remove task

Important options

Option Description
--workspace <name> Workspace for the task
--folder-name <name> Folder alias inside the workspace
--agent <agent> Agent label, such as claude, codex, or gemini
--model <model> Model name
`--thinking auto low
--prompt <text> Task prompt
--session-id <id> Agent session id
--blocked-by <task-id> Blocking task id
--blocked-reason <text> Blocking reason
--status <status> Task status

Examples

Create and assign task

infynon task create review-auth --mutate --workspace app --agent claude --prompt "Review auth module."

Create queued task

infynon task create review-ui --mutate --workspace app --agent gemini --status queued --prompt "Review UI after backend fix."

Read the full file on GitHub · 89 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 · 89 lines · 0 tokens per session scan A f82a9546630c

Subscribe to this mod's changes

task is a command published in the GitHub repository d4rkNinja/infynon-cli (8 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 727 tokens. 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.