create-task

A task-intake step that turns a natural-language request into task.md and analysis.md files without changing business code.

In plain words
What is it for?
Use it to start feature, bug-fix, refactoring, documentation, or maintenance work and prepare the task for a later planning step.
Why use it?
It creates a clear record of the request, its type, constraints, and initial analysis before planning or implementation begins.

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

Made for: Claude Code, Codex.

Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 338 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 $0.00043 $0.00338
Opus 5 $0.00022 $0.00169
Sonnet 5 $0.00009 $0.00068
Haiku 4.5 $0.00004 $0.00034

Measured yesterday against content hash 126b546dd5ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

create-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.

.agents/skills/create-task/SKILL.md · 43 lines

What it actually says

创建任务

根据用户的自然语言描述创建任务并执行需求分析。

行为边界:

  • 本命令的唯一产出是 task.md 和 analysis.md 两个文件
  • 禁止编写、修改、创建任何业务代码或配置文件
  • 禁止直接实现用户描述的功能

执行步骤

  1. 获取当前时间:

    date '+%Y-%m-%d %H:%M:%S'
    date +%Y%m%d-%H%M%S
    
  2. 解析用户描述:

    • 任务标题: 精简的中文标题(20字以内)
    • 任务类型: feature|bugfix|refactor|docs|chore
    • 工作流: feature-development/bug-fix/refactoring
  3. 创建任务目录:

    mkdir -p .ai-workspace/active/TASK-<timestamp>/
    

    基于 .agents/templates/task.md 模板创建 task.md。

  4. 执行需求分析(仅分析,不编写业务代码)。

  5. 输出分析文档到 analysis.md。

  6. 更新任务状态,标记 requirement-analysis 为完成。

  7. 提示下一步使用 plan-task skill。

STOP: 完成上述步骤后立即停止。不要继续执行 plan、implement 或任何后续步骤。

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. yesterday First seen · 43 lines · 43 tokens per session scan A 126b546dd5ed

Subscribe to this mod's changes

create-task is a skill published in the GitHub repository ModelEngine-Group/fit-framework (2,117 stars, last pushed 5mo ago), licensed MIT. It adds 43 tokens to every session and 338 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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