refine-task

refine-task is a skill for Claude Code, Codex from hashgraph-online/awesome-codex-plugins. It costs 52 tokens per session (403 once invoked), scanned A, original, Apache-2.0.

A task-review guide for turning an unclear Agiflow task into a specific, testable work request. Agiflow is the task-management system this guide refers to.

In plain words
What is it for?
Reviewing task details, asking focused questions, drafting clearer requirements, and saving approved changes.
Why use it?
It reduces guesswork about the intended result, boundaries, acceptance checks, dependencies, priority, and ownership.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Reviewing task details, asking focused questions, drafting clearer requirements, and saving approved changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hashgraph-online/awesome-codex-plugins/refine-task
About the project

Awesome Codex Plugins is a curated catalogue and marketplace of installable plugins, skills, and related resources for OpenAI Codex and ChatGPT. It helps people find, create, validate, and submit extensions for Codex workflows across its app, command-line interface, and IDE extensions. The catalogue add-ons are the plugins, skills, agents, and hooks listed or supported by this project.

hashgraph-online/awesome-codex-plugins · 1,326 stars · on GitHub · hol.org

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.

Any agent
npx skills add hashgraph-online/awesome-codex-plugins --skill refine-task
Clone the repo
git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for refine-task

README.md
[![agentmods](https://agentmods.dev/badge/skills/hashgraph-online/awesome-codex-plugins/refine-task/github.svg)](https://agentmods.dev/skills/hashgraph-online/awesome-codex-plugins/refine-task)
Your own site
<a href="https://agentmods.dev/skills/hashgraph-online/awesome-codex-plugins/refine-task"><img src="https://agentmods.dev/badge/skills/hashgraph-online/awesome-codex-plugins/refine-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.

agentmods 80×15 button for refine-task

Your own site · 80×15
<a href="https://agentmods.dev/skills/hashgraph-online/awesome-codex-plugins/refine-task"><img src="https://agentmods.dev/badge/skills/hashgraph-online/awesome-codex-plugins/refine-task.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 403 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00052 $0.00403
Opus 5.5 $0.00021 $0.00161
Sonnet 5.5 $0.00010 $0.00081
Haiku 4.5 $0.00005 $0.00040

Measured 1mo ago against content hash 5656f367407a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

refine-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 1mo 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:

plugins/AgiFlow/ai-plugin/skills/refine-task/SKILL.md · 42 lines

What it actually says

Agiflow Refine Task

Make the selected task ready for confident execution while preserving its original intent.

Workflow

  1. Resolve the task with get_current_scope, list_projects, list_tasks, or get_task as needed.
  2. Call get_task for full details and list_task_comments when prior decisions may affect scope.
  3. Call list_project_statuses and list_members only when status or assignment context is relevant.
  4. Evaluate the task for:
    • Clear user or business outcome
    • Concrete scope boundaries
    • Objective acceptance criteria
    • Known dependencies and blockers
    • Appropriate priority and assignee
    • Enough context to complete without guessing
  5. Ask focused clarification questions for unresolved decisions. Do not invent requirements.
  6. Draft the refined title, description, acceptance criteria, scope boundaries, and dependency notes.
  7. Show the proposed changes and request approval.
  8. After approval, call update_task with only the fields that need to change.
  9. Call get_task again to verify the saved result.

Quality Test

Acceptance criteria must be specific, measurable, achievable within the task, relevant to its outcome, and directly verifiable. Replace phrases such as "works correctly" or "handles errors" with observable behavior.

Guardrails

  • Do not add new product requirements during refinement.
  • Do not move the task from Planning to Todo. Backlog grooming owns that transition.
  • Do not delete the task.
  • Preserve useful existing context and comments.

Response

Summarize what changed, which ambiguities were resolved, and whether the task is ready for backlog-grooming.

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. 1mo ago First seen · 42 lines · 52 tokens per session scan A 5656f367407a

Subscribe to this mod's changes

refine-task is a skill published in the GitHub repository hashgraph-online/awesome-codex-plugins (1,326 stars, last pushed today), licensed Apache-2.0. It adds 52 tokens to every session and 403 once invoked, about $0.0002 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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