complete-task

complete-task is a skill for Claude Code, Codex from fitlab-ai/agent-infra. It costs 46 tokens per session (4,235 once invoked), scanned A, original, MIT.

A task-closing tool that marks a work item as finished and archives its task records after the work has been checked.

In plain words
What is it for?
Use it to resolve a task reference, verify its state, update task metadata, and move the completed task into its archive.
Why use it?
It provides a controlled way to finish a task without accidentally archiving work that still has unfinished steps.

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/fitlab-ai/agent-infra/complete-task
Any agent
npx skills add fitlab-ai/agent-infra --skill complete-task
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 complete-task

README.md
[![agentmods](https://agentmods.dev/badge/skills/fitlab-ai/agent-infra/complete-task.svg)](https://agentmods.dev/skills/fitlab-ai/agent-infra/complete-task)
Your own site
<a href="https://agentmods.dev/skills/fitlab-ai/agent-infra/complete-task"><img src="https://agentmods.dev/badge/skills/fitlab-ai/agent-infra/complete-task.svg" alt="Measured on agentmods" 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 4,235 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 $0.00046 $0.04235
Opus 5 $0.00023 $0.02117
Sonnet 5 $0.00009 $0.00847
Haiku 4.5 $0.00005 $0.00424

Measured yesterday against content hash 019badea8678, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

complete-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/complete-task/SKILL.md · 261 lines

How it starts

The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.

完成任务

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

宿主 finalization 使用 receipt v2(不可变 receiptId、单调 revision 和 canonical warnings)。生命周期/身份/required PR 等硬失败返回 result: failed|blocked;生命周期完成后,评论、外围验证和其他同步失败返回 result: completed_with_warnings 及六字段 warning,并仅重试 receipt 中的 pending step。

行为边界 / 关键规则

  • 本命令更新任务元数据并物理移动任务目录
  • 除非强制执行,不要转移有未完成工作流步骤的任务
  • 入口接受可选 --external-pr <N>;仅用于外部交付候选歧义时的显式选择,不绕过身份或平台门禁

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,并把原文粘贴到本轮产物的 ## 状态核对 段:

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>-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:本地生命周期边界

正常完成路径在 active 阶段完成业务更新、平台同步和预完成门禁后,才由步骤 6 的单次 finalization intent 按固定顺序原子推进生命周期、终态 task 评论和完成校验;不得提前手工写入这些机械状态。已归档任务只允许进入 finalization-retry 场景,不回迁目录或重新执行 lifecycle。

执行步骤

1. 验证任务存在

检查任务是否存在于 .agents/workspace/active/{task-id}/

注意:{task-id} 格式为 TASK-{yyyyMMdd-HHmmss},例如 TASK-20260306-143022

如果在 active/ 中未找到,检查 blocked/completed/

  • 如果在 completed/ 且 task.md 存在匹配的 Complete Task Activity Log:进入场景 B finalization-retry,跳过步骤 2-6,直接执行步骤 7
  • 如果在 completed/ 但缺少匹配日志:告知用户任务已完成但终态身份不完整并停止,不手工修补
  • 如果在 blocked/:告知用户任务被阻塞;建议先解除阻塞

场景 A 为 active 任务的正常完成路径;场景 B finalization-retry 只重试归档后的 task 评论与终态门禁。

2. 验证完成前置条件(未满足则必须停止)

先读取 reference/external-delivery.md,然后在 active 任务上调用:

agent-infra-internal platform-pr resolve-external {task-id} --agent {standard-agent-token} [--pr {external-pr}]

Read the full file on GitHub · 261 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. yesterday Changed 019badea8678
  2. 5d ago First seen · 261 lines · 46 tokens per session scan A ee8b7298d84d

Subscribe to this mod's changes

complete-task is a skill published in the GitHub repository fitlab-ai/agent-infra (83 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 4,235 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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