refine-task

A guide for addressing problems found during code review, which is the process of checking proposed changes before they are merged. It organizes feedback by severity and requires verification after fixes.

In plain words
What is it for?
It helps read the review report, fix blocker and major issues in priority order, run the relevant Maven tests, record the fixes, and update the task status without automatically committing.
Why use it?
It provides a controlled way to resolve review findings without adding unrelated changes or skipping tests.

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/modelengine-group/fit-framework/refine-task
Any agent
npx skills add ModelEngine-Group/fit-framework --skill refine-task
Clone the repo
git clone --depth 1 https://github.com/ModelEngine-Group/fit-framework

Made for: Claude Code, Codex.

Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 265 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 $0.00039 $0.00265
Opus 5 $0.00019 $0.00133
Sonnet 5 $0.00008 $0.00053
Haiku 4.5 $0.00004 $0.00026

Measured 2d ago against content hash 3e553a70892c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 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.

.agents/skills/refine-task/SKILL.md · 33 lines

What it actually says

修复审查问题

执行步骤

  1. 验证前置条件:

    • .ai-workspace/active//task.md 存在
    • .ai-workspace/active//review.md 存在
  2. 读取审查报告,整理问题:

    • 🔴 Blocker 问题(必须修复)
    • 🟡 Major 问题(建议修复)
    • 🟢 Minor 问题(可选修复)
  3. 按优先级逐项修复,修复后运行相关测试验证。

  4. 运行测试验证:

    mvn test -pl :<module-name>
    
  5. 更新 implementation.md,追加"修复记录"章节。

  6. 更新任务状态。

  7. 提示重新审查(review-task)或直接提交(commit)。

注意: 严格按照审查报告修复,不要添加额外变更。不要自动 git commit。

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 · 33 lines · 39 tokens per session scan A 3e553a70892c

Subscribe to this mod's changes

refine-task is a skill published in the GitHub repository ModelEngine-Group/fit-framework (2,117 stars, last pushed 5mo ago), licensed MIT. It adds 39 tokens to every session and 265 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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