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 theafh/ai-modules --skill taskgit clone --depth 1 https://github.com/theafh/ai-modulesWrote 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/theafh/ai-modules/task)<a href="https://agentmods.dev/skills/theafh/ai-modules/task"><img src="https://agentmods.dev/badge/skills/theafh/ai-modules/task/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/theafh/ai-modules/task"><img src="https://agentmods.dev/badge/skills/theafh/ai-modules/task.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00100 | $0.21613 |
| Opus 5.5 | $0.00040 | $0.08645 |
| Sonnet 5.5 | $0.00020 | $0.04323 |
| Haiku 4.5 | $0.00010 | $0.02161 |
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 yesterday.
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 — 499 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 and 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.
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.
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.
- yesterday Changed · +3 lines 2ddedbc651d4
- 4d ago Changed f8792ef6642b
- 6d ago Changed 41a87b2a836e
- 7d ago Changed · +2 lines c0d97dc9fcbc
- 11d ago Changed · +1 lines f105dd1b7da8
- 14d ago Changed 63c371316c7d
- 15d ago Changed · +2 lines c690a5b5f34f
- 17d ago Changed · +14 lines 6c835528c958
- 19d ago Changed · +2 lines a59168b15803
- 20d ago First seen · 475 lines · 100 tokens per session scan A 2f3e000a41c0
task is a skill published in the GitHub repository theafh/ai-modules (38 stars, last pushed today), licensed MIT. It adds 100 tokens to every session and 21,613 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.
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