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 agentmods add skills/patforna/auto-task/clarify-tasknpx skills add patforna/auto-task --skill clarify-taskgit clone --depth 1 https://github.com/patforna/auto-taskWhat 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 | $0.00065 | $0.00864 |
| Opus 5 | $0.00032 | $0.00432 |
| Sonnet 5 | $0.00013 | $0.00173 |
| Haiku 4.5 | $0.00006 | $0.00086 |
Grade A, and why
clarify-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.
How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clarify Task
Usage
/at:clarify-task <task-path> [further user instructions]
Goal
Ensure the task is clear enough so that two reasonable agents - with access to the task content and repo only - would neither complete the task in a meaningfully different way nor disagree on whether the task is done.
Context
This skill is typically run as part of a larger workflow:
create-task → clarify-task → plan-task → impl-task → review-code → review-task → ship-task
As steps (e.g. clarify, plan, impl, review) typically run in new sessions, it's imperative that the task file plus repo state carry everything the next agent needs.
Task files live in the project's task store — tasks/ in the repo by default. Project config can override this and other defaults: read .claude/auto-task.config.md (project, committed) and .claude/auto-task.config.local.md (personal overrides — win on conflict) if they exist. See /at:create-task § Task Store and Project Config.
Step 1: Understand the Task
- Read the task and explore the relevant parts of the codebase to make sure you fully understand what the task is about and ground your questions.
- If you detect ambiguity, vagueness or implicit assumptions, do another round of deeper exploration and try to resolve.
Step 2: Identify Issues
If after completing Step 1 you conclude that two reasonable agents - with access to the task content and repo only - would either complete the task in a meaningfully different way or disagree on whether the task is done, flag it to the user.
Triggers (non-exhaustive):
- Motivation missing - task says what but not why.
- Incomplete content - trailing-off sentences, TODOs, TBDs, "should we...?", etc.
- Acceptance criteria weak - vague, untestable, or missing boundary/edge cases (see
/at:create-task§ Acceptance criteria). - Unclear scope - a criterion two reasonable agents would read differently.
- Semantic ambiguity - same term, field, column, etc. meaning different things (e.g. "days" = calendar or trading?).
- Implicit assumptions - things the implementer must assume that aren't stated.
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.
- 2d ago First seen · 74 lines · 65 tokens per session scan A b6293f488b4e
clarify-task is a skill published in the GitHub repository patforna/auto-task (3 stars, last pushed 13d ago), licensed MIT. It adds 65 tokens to every session and 864 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
finishing-a-development-branch
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work.
weather-fetcher
Instructions for fetching current weather temperature data for Dubai, UAE from Open-Meteo API.
time-skill
Display the current time in Pakistan Standard Time (PKT, UTC+5). Use when the user asks for the current time, Pakistan time, or PKT.
time-fetcher
Instructions for fetching current Dubai time via bash command.
weather-svg-creator
Creates an SVG weather card showing the current temperature for Dubai. Writes the SVG to orchestration-workflow/weather.svg and updates orchestration-workflow/output.md.
agr-cli
Install, share, sync, and create AI agent skills across coding tools (Claude Code, Cursor, Codex, OpenCode, Copilot, Pi) using the agr CLI. Use whenever the user mentions agr, agr.toml, agr.lock, agrx, or asks to: add a skill ("install the pdf skill", "agr add ..."), sync agent resources across tools, share skills…