agent-infra: Skill for Claude Code

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

plan-task is a skill for Claude Code, Codex from fitlab-ai/agent-infra. It costs 46 tokens per session (3,835 once invoked), scanned A, original, MIT.

A planning guide for turning a clearly defined coding task into a written technical plan before implementation.

In plain words
What is it for?
Use it to resolve a task reference, record a plan in a Markdown file, update the task status, and pass through a specific orchestration flag when required.
Why use it?
It creates a human review point and prevents coding from starting before the task, compatibility rules, and status are checked.

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/plan-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 plan-task

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/fitlab-ai/agent-infra/plan-task"><img src="https://agentmods.dev/badge/skills/fitlab-ai/agent-infra/plan-task.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,835 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 $0.00046 $0.03835
Opus 5.5 $0.00018 $0.01534
Sonnet 5.5 $0.00009 $0.00767
Haiku 4.5 $0.00005 $0.00383

Measured today against content hash c030aea69d27, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

plan-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 today.

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/plan-task/SKILL.md · 225 lines

How it starts

The opening of the file, as written. The whole thing — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.

设计技术方案

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

生命周期事件必须携带显式触发信息:普通技能调用使用 model;仅用户明确要求时使用 human。{request-id} 是本任务与本轮产物的稳定单行标识,{reason-code} 使用 user-request、new-requirement 或 upstream-fact-doubt;started 与 completed 使用同一组值。

行为边界 / 关键规则

路径与返工

本阶段只消费核心从最新有效分析产物解析出的规范路径事实;未被所选路径包含的阶段不得创建产物。同阶段完成一次修订—复审后再次收到 Changes Requested 时,必须在下一执行产物前提交绑定 finding、来源 SHA 和稳定任务事实摘要的返工分类;轮次或文件名变化不是新证据。

持久化报告证据

生成方案报告时,先读取 .agents/rules/evidence-reporting.md。状态核对和验证记录命令、目标范围、状态/结构化结果、实际结果和未覆盖部分;失败、阻塞或争议才附决定性原文摘录。

  • 涉及候选资格或 HD-N 判断时,先读取 .agents/rules/decision-qualification.md,基于 task.md 规范化约束/候选完成资格审计,并在方案产物记录三张资格审计决策表和资格快照;不得把来源不明或未确认约束自动升级为排除条件
  • 本技能仅产出技术方案文档(plan.md 或 plan-r{N}.md)—— 不修改任何业务代码
  • 生成会同步到 Issue 的任务或生命周期 Markdown 前,先读取 .agents/rules/sync-content-generation.md 并遵循其中的生成端约束;同步端不解析或改写正文
  • 完整路径进入方案审查;标准路径完成方案后可直接进入实现阶段
  • 方案涉及兼容、迁移、旧格式或旧入口时,先读取 .agents/rules/compatibility-policy.md;未通过准入门槛时不得设计 adapter、shim、双写或并行状态机
  • 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。

第 0 步:状态核对(执行前硬约束)

在加载 workflow / skill / rules 指令之后、做任何任务状态判断或用户可见结论之前,必须先执行状态核对。指令类文件读取不算对外动作或结论。

运行以下命令,并在本轮产物的 ## 状态核对 段记录任务/产物范围、关键结果和未覆盖部分;正常成功不粘贴完整目录清单或 task.md 尾部。失败、阻塞、身份不一致或争议时,附决定性原文行:

agent-infra-internal task-snapshot {task-id} --format text

状态核对完成前,禁止任何关于外部状态的断言(例如“代码没变”“测试已通过”“没有其他引用”),包括思考阶段。本门禁只提供结构下限;逐条证据配对和真实性仍需按报告模板与审查要求核对。

任务上下文解析

入口可省略 task ref;显式 task scope 仅接受 --task <ref> 或 -t <ref>,不再解释位置 task ref。保留其余业务操作数后调用 agent-infra-internal task-context resolve {task-scope};{task-scope} 为空或 task flag 之一。只读取结构化结果的 taskId,后续把 {task-id} 绑定为完整 TASK-YYYYMMDD-HHMMSS。解析失败时透传非零退出码,不自行扫描任务。

解析任务引用,并确认任务位于本技能支持的状态或目录且存在 task.md;无法定位时按未找到任务处理并停止。

步骤开始:声明 started 事件

确认前置条件和轮次后、本轮第一个产出动作之前执行:

agent-infra-internal task-event {task-id} plan.started --agent {standard-agent-token} --initiator {trigger-initiator} --request-id {request-id} --reason-code {reason-code}

Read the full file on GitHub · 225 lines

Files

What ships with it

1 file 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. today Changed c030aea69d27
  2. 6d ago Changed ad40e04c89c8
  3. 17d ago Changed · +3 lines 884444419369
  4. 24d ago Changed 496847063ab2
  5. 29d ago Changed 9bfa3044de00
  6. 1mo ago Changed 049b8c071b5f
  7. 1mo ago Changed d656a2ed0aa4
  8. 1mo ago Changed · +3 lines 94ffe9f7d5f6
  9. 1mo ago Changed cc1dca5866a8
  10. 1mo ago First seen · 219 lines · 46 tokens per session scan A ba5004739f7c

Subscribe to this mod's changes

plan-task is a skill published in the GitHub repository fitlab-ai/agent-infra (86 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 3,835 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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