task

A task-backlog system that stores project work as plain Markdown files. It supports the task lifecycle from creating and organizing work through implementation, review, completion, or deferral.

In plain words
What is it for?
Use it to create, list, edit, triage, split, implement, audit, finish, defer, archive, or lint project tasks.
Why use it?
It keeps upcoming work structured in files that people and coding agents can read, update, and review.

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/theafh/ai-modules/task
Any agent
npx skills add theafh/ai-modules --skill task
Clone the repo
git clone --depth 1 https://github.com/theafh/ai-modules

Made for: Claude Code, Codex.

Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 17,554 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 $0.00049 $0.17554
Opus 5 $0.00024 $0.08777
Sonnet 5 $0.00010 $0.03511
Haiku 4.5 $0.00005 $0.01755

Measured 2d ago against content hash c9dcade4a1c8, 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.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/discover_tasks.sh, scripts/init_tasks.sh, scripts/lint.py), 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.

plugins/ai_dev/skills/task/SKILL.md · 465 lines

How it starts

The opening of the file, as written. The whole thing — 465 lines — stays where its author put it; the contents beside it link to each section on GitHub.

task

<task_skill>

<when_to_activate> Activate this skill when the user:

  • Asks to create, write, capture, file, or add a task / todo / backlog item.
  • Asks to list, show, find, or query existing tasks.
  • Asks to update, edit, refine, or expand a task.
  • Says a task is done, finished, implemented, shipped, or completed — move it to archive with status finished.
  • Says a task should be dropped, parked, deferred, or shelved — move it to archive with status deferred.
  • Asks to lint, audit, or health-check the tasks directory.
  • Mentions the project's tasks, todos, or backlog in any way that implies persisting upcoming work as files rather than chat state. </when_to_activate>

<not_in_scope> The wiki skill captures durable knowledge (concepts, procedures, references). The task skill captures upcoming work on this project. When a user message is about recording what they learned or how something works, route to wiki instead. When they want to track what still needs doing, this skill is right.

A focused sibling serves some of that backlog work better than the hub does. When a request names one task and one lifecycle step — check this task, implement it, audit it, close it out — hand it to the sibling that owns that step, which <family> names alongside every other sibling's role. Broad and multi-task backlog work stays with the hub: listing and querying the tree, triaging or updating several tasks in one round, and mining one source into a set of tasks, except where <family> names a sibling that owns that whole-tree job. The preference routes a request to the narrower surface rather than withholding it, since the hub keeps every capability <family> opens by stating. </not_in_scope>

The filing convention has one canonical split: material directly about the task system lives under tasks/, and project-wide standing material lives at the repo root as optional UPPERCASE.md docs. Two root-doc roles exist there: harness-loaded rule files (CLAUDE.md / AGENTS.md / GEMINI.md and equivalents) provide the project's standing-instruction baseline, while family-consulted guardrail docs (CHARTER.md / ARCHITECTURE.md / FEATURES.md / TESTING.md) add task-family-specific constraints and context. The task tree stays intentionally two layers — tasks/ for live work, tasks/archive/ for closed work. No further task nesting. Scope sits in the filename, not in a folder. A bare project with only tasks/ remains complete.

<standing_doc_consumption> Resolve the project root from the base <discover> step. The project's standing instructions start with the harness-loaded root rule files: CLAUDE.md / AGENTS.md / GEMINI.md and equivalents. When present, the harness loads those files before the skill runs, and the task family follows that baseline at every touchpoint independent of whether any family guardrail doc exists. The task family adds no separate presence-gated read for those harness files because the harness already supplies them.

Read the full file on GitHub · 465 lines

Files

What ships with it

3 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 First seen · 465 lines · 49 tokens per session scan A c9dcade4a1c8

Subscribe to this mod's changes

task is a skill published in the GitHub repository theafh/ai-modules (38 stars, last pushed 2d ago), licensed MIT. It adds 49 tokens to every session and 17,554 once invoked, about $0.0002 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.

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