complete-task

A task-closing workflow that marks a task complete and moves its folder into a completed directory.

In plain words
What is it for?
Use it to verify and archive a task identified by its task ID.
Why use it?
It prevents unfinished work from being archived by checking that the steps, files, code review, Git commit, and tests are complete.

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/complete-task
Any agent
npx skills add ModelEngine-Group/fit-framework --skill complete-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 238 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 $0.00238
Opus 5 $0.00019 $0.00119
Sonnet 5 $0.00008 $0.00048
Haiku 4.5 $0.00004 $0.00024

Measured yesterday against content hash bc77b74bdd9c, 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 · 36 lines

What it actually says

完成任务

前置条件

  • 所有工作流步骤已完成
  • 代码已审查通过
  • 代码已提交到 Git
  • 所有测试通过

执行步骤

  1. 验证任务存在:

    test -f .ai-workspace/active/<task-id>/task.md
    
  2. 验证所有步骤标记为完成,文件完整性检查。

  3. 更新 task.md: status -> completed, completed_at。

  4. 添加完成总结。

  5. 归档任务:

    mkdir -p .ai-workspace/completed && mv .ai-workspace/active/<task-id> .ai-workspace/completed/
    
  6. 验证归档成功。

注意: 只有在真正完成所有工作后才归档,不要过早归档未完成的任务。

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 · 36 lines · 39 tokens per session scan A bc77b74bdd9c

Subscribe to this mod's changes

complete-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 238 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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