done

A task-completion workflow that summarises finished work in a Linear issue, adds the summary as a comment, and marks the issue Done. Linear is a project-management tool for tracking issues and tasks.

In plain words
What is it for?
Use it to find the relevant task, review the changes, draft a completion summary, ask for confirmation, update Linear, and suggest remaining work.
Why use it?
It gathers the changes and test status into one handoff and avoids manually updating the task after implementation.

Skill for Claude CodeCodex

Part of the swf plugin — 16 skills, 1 agent shipped together

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/cliffren/swf/done
Any agent
npx skills add cliffren/swf --skill done
Clone the repo
git clone --depth 1 https://github.com/cliffren/swf

Made for: Claude Code, Codex.

Or install swf, the plugin that ships this one along with the rest of its 16 skills, 1 agent.

Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 401 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 $0.00024 $0.00401
Opus 5 $0.00012 $0.00200
Sonnet 5 $0.00005 $0.00080
Haiku 4.5 $0.00002 $0.00040

Measured 2d ago against content hash 48b29b6331b2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

done 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 2d 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.

skills/done/SKILL.md · 49 lines

What it actually says

Finish Current Task

Complete a task by documenting what was done and updating Linear.

Input

$ARGUMENTS — optional issue ID (e.g., TAO-5). If omitted, look for the In Progress issue in the current project.

Workflow

  1. Identify the task:

    • If issue ID provided, fetch it
    • Otherwise, find the In Progress issue assigned to "me" in the current project
    • If multiple In Progress issues exist, list them and ask which one
  2. Generate summary:

    • Review what changed: git diff main...HEAD --stat or recent commits since task started
    • Summarize the changes in a concise comment:
      ## 完成摘要
      - 做了什么(1-3 bullet points)
      - 关键文件变更
      - 测试状态
      
      ## 备注
      - 发现的后续问题(如果有)
      
  3. Confirm with user:

    • Show the draft comment
    • Ask: "确认标记为 Done 吗?"
  4. Update Linear:

    • Post the summary as a comment on the issue
    • Mark the issue as Done
  5. Suggest next steps:

    • Check remaining Todo issues in the project
    • If there are more: "还有 N 个 Todo issue,要继续吗?(/swf:next)"
    • If none: "当前 milestone 的任务都完成了,要规划下一批吗?(/swf:plan-next)"
    • If ADR-worthy decisions were made: "这个任务涉及架构决策,要记录 ADR 吗?(/swf:adr)"
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. 2d ago First seen · 49 lines · 24 tokens per session scan A 48b29b6331b2

Subscribe to this mod's changes

done is a skill published in the GitHub repository cliffren/swf (5 stars, last pushed 4mo ago), licensed MIT. It adds 24 tokens to every session and 401 once invoked, about $0.0001 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 2026-08-31.

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