agent-infra: Skill for Claude Code

.agents/skills/create-task/SKILL.md

create-task is a skill for Claude Code, Codex from fitlab-ai/agent-infra. It costs 32 tokens per session (3,320 once invoked), scanned A, original, MIT.

A workflow for turning a user’s description into a structured task record in task.md. It records the task without analysing or implementing the requested feature.

In plain words
What is it for?
Use it to create a new tracked task from a short description and receive the next step in the project workflow.
Why use it?
It separates task creation from planning and coding, so a request can be tracked before work begins. It also prevents accidental changes to business code or configuration.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is fitlab-ai/agent-infra's own configuration. It tells Claude Code and Codex how to work on agent-infra itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agent-infra configures →

Reuse

Borrowing it

Nothing to install: this file belongs to fitlab-ai/agent-infra. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/fitlab-ai/agent-infra/main/.agents/skills/create-task/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/fitlab-ai/agent-infra

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 create-task

README.md
[![agentmods](https://agentmods.dev/badge/skills/fitlab-ai/agent-infra/create-task/github.svg)](https://agentmods.dev/skills/fitlab-ai/agent-infra/create-task)
Your own site
<a href="https://agentmods.dev/skills/fitlab-ai/agent-infra/create-task"><img src="https://agentmods.dev/badge/skills/fitlab-ai/agent-infra/create-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 create-task

Your own site · 80×15
<a href="https://agentmods.dev/skills/fitlab-ai/agent-infra/create-task"><img src="https://agentmods.dev/badge/skills/fitlab-ai/agent-infra/create-task.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,320 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 $0.00032 $0.03320
Opus 5.5 $0.00013 $0.01328
Sonnet 5.5 $0.00006 $0.00664
Haiku 4.5 $0.00003 $0.00332

Measured 5d ago against content hash 45038599a143, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 5d 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/create-task/SKILL.md · 244 lines

How it starts

The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.

创建任务

--agent 取值见 .agents/rules/task-management.md「合作者 token 规范」。

行为边界 / 关键规则

本技能的核心产出是 task.md。

  • 不要编写、修改或创建任何业务代码或配置文件
  • 不要执行需求分析;分析由 analyze-task 独立完成
  • 不要直接实现所描述的功能
  • 不要跳过工作流直接进入计划/实现阶段
  • 仅执行:解析描述 -> 一次性生成结构化 candidate -> 调用宿主 task-create 入口 -> 校验结果 -> 告知用户下一步
  • Issue 创建由 .agents/rules/create-issue.md 规则决定;自定义或空平台(未提供平台变体规则文件)时,规则会自然降级为 no-op
  • 生成会写入 task.md 并同步到 Issue 的 Markdown 前,先读取 .agents/rules/sync-content-generation.md 并遵循其中的生成端约束;宿主渲染和同步保持透明,不解析或改写正文

用户的描述是一个待办事项,而不是立即执行的指令。

执行本技能后,你必须立即更新 task.md 中的任务状态。

版本戳规则:创建或更新 task.md frontmatter 时,先读取 .agents/rules/version-stamp.md,并写入或刷新 agent_infra_version。

任务入参短号别名

如果 {task-id} 入参匹配 ^[#]?[0-9]+$(裸数字或带 # 前缀),先读取 .agents/rules/task-short-id.md 的「SKILL 入参解析」段执行解析;后续命令视 {task-id} 为解析后的全长 TASK-YYYYMMDD-HHMMSS 形式。

步骤开始:记录开始时间

本技能会创建 task.md,开始时尚无文件可写。先在内存记录开始时间 started_at(date "+%Y-%m-%d %H:%M:%S%z" | sed 's/\([+-][0-9][0-9]\)\([0-9][0-9]\)$/\1:\2/');在最后写活动日志时一次性补两条——started 行用 started_at、done 行用完成时间,二者同基名(started 行 action 加 [started] 后缀、note 用 started):

- {started_at} — **Create Task [started]** by {agent} — started
- {done_at} — **Create Task** by {agent} — {完成说明}

ai task log 会按基名把两条配对成一行(进行中 → 已完成)。约定见 .agents/rules/task-management.md 的「Activity Log started / done 双标记约定」。

执行步骤

1. 解析用户描述

从自然语言描述中提取:

  • 任务标题:简洁标题(最多 50 个字符),使用中文——不要翻译为英文,不要套用 Conventional Commits 格式
  • 任务类型:feature | bugfix | refactor | docs | chore(从描述推断)
  • 工作流:feature-development | bug-fix | refactoring(从类型推断)
  • 分支名:格式 <project>-<type>-<slug>
    • <project> 从 .agents/.airc.json 的 project 字段读取
    • <type> 为推断出的任务类型
    • <slug> 从任务标题提取 3-6 个英文关键词并转为 kebab-case
  • 详细描述:整理后的用户原始描述

执行本步骤前,先读取 reference/context-capture.md。把当前请求及必要前序讨论中已有的信息按来源与状态分类,准备写入 task.md 的 ## 任务输入;缺失类别保持为空,不执行推导或分析。

如果描述不清晰,先向用户确认再继续。

类型推断:根据任务描述的语义,从以下候选值中选择最匹配的类型:

  • feature — 新增功能、新特性
  • bugfix — 修复缺陷、错误
  • refactor — 重构、优化、改进
  • docs — 文档相关
  • chore — 其他杂项任务

Read the full file on GitHub · 244 lines

Files

What ships with it

2 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.

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. 5d ago Changed · -18 lines 45038599a143
  2. 6d ago Changed 5ea500335e44
  3. 24d ago Changed · -1 lines 1901851aa43d
  4. 1mo ago Changed 10b429a6a9a0
  5. 1mo ago Changed e1ab6bc8a84a
  6. 1mo ago Changed · +7 lines 8baec81cc3c3
  7. 1mo ago Changed · +1 lines 4ad864789241
  8. 1mo ago First seen · 255 lines · 32 tokens per session scan A 73669da1a641

Subscribe to this mod's changes

create-task is a skill published in the GitHub repository fitlab-ai/agent-infra (86 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 3,320 once invoked, about $0.0001 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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