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Agent skill

Review Thread

by swyxio in swyxio/skills

Review task progress, goal alignment, agent-time ETA, and worthwhile parallel work.

MITAuto-check passed

Install Review Thread

skills CLI
$ npx skills add swyxio/skills --skill review-thread -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install swyxio/skills review-thread --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/swyxio/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/review-thread .claude/skills/review-thread && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
review-thread
GitHub stars
175
Token cost
~703 tokens
SKILL.md length
358 words
Files
1
Skills in repo
89
Repo updated
First seen
Licence
MIT

At a glance

Review task progress, goal alignment, agent-time ETA, and worthwhile parallel work.

  • Works in 3 steps: Progress and direction → Next steps and ETA → Parallel opportunities
  • The user invokes /review-thread
  • SKILL.md covers 1. Progress and direction, 2. Next steps and ETA, 3. Parallel opportunities and Output
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Review Thread is an agent skill from swyxio/skills. Review task progress, goal alignment, agent-time ETA, and worthwhile parallel work. Use when the user invokes /review-thread or requests a progress or scope assessment.

Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Agent skills for Claude Code and other AI agents. The licence is MIT.

When your agent uses it

  • The user invokes /review-thread
  • Requests a progress
  • Scope assessment

Example prompts

  • “/review-thread”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Progress and direction
  2. Next steps and ETA
  3. Parallel opportunities

What it can do on your machine

Read from SKILL.md and the folder at commit 038ef34. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Review Thread loads about 703 tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 358 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~703

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from swyxio/skills at commit 038ef34, republished under its MIT licence (© swyxio). 358 words, ~703 tokens.

Download SKILL.mdSave it as .claude/skills/review-thread/SKILL.md (or your agent's skills folder).
name
review-thread
description
Review task progress, goal alignment, agent-time ETA, and worthwhile parallel work. Use when the user invokes /review-thread or requests a progress or scope assessment.

Review thread

Give a concise, candid assessment of progress toward the user's intended outcome. Keep reporting lightweight and continue authorized work.

1. Progress and direction

Infer what success means to the user; state consequential assumptions. Explain what now works, what remains, and what is verified. Distinguish implementation, passing tests, and actual user-visible success.

Assess whether we are fixing the right problem:

  • What can we remove without weakening the outcome?
  • What must we add to fully satisfy the use case?

Use independent judgment: do not invent scope problems to agree with the user. Recommend concrete corrections when warranted, and correct earlier claims plainly. Report outcomes rather than tool-call chronology.

2. Next steps and ETA

Name the completion endpoint. Estimate AI-agent wall-clock time using observed execution speed and tool runtimes.

Account for available parallelism, dependencies, shared resources, and coordination. Use the longest dependent sequence rather than adding all work together.

Calibration anchors:

  • Three independent two-minute checks running concurrently take roughly two minutes plus coordination.
  • A suite observed to run in 20 seconds gets a seconds-scale allowance.
  • Narrower follow-ups usually take less time than completed broader work unless a new dependency changes that.
  • Approval, credentials, and human replies are external waits; report them separately.

Give a likely ETA and conditional upper bound with key assumptions. Avoid generic padding or forced optimism. If calibration is weak, estimate the next informative checkpoint. Revise materially changed estimates using actual elapsed time.

Show full SKILL.md (123 more words)Show less

3. Parallel opportunities

When worthwhile, suggest a numbered list of up to three independent tasks, ranked by value. State each task's expected result, why it helps now, and any dependency or conflict.

Distinguish essential current-task work from optional adjacent work. Prefer tasks that accelerate completion, catch consequential mistakes, or advance the broader goal. Skip duplicates, trivial delegation, and speculative expansion. Suggestions alone do not authorize execution, delegation, or new chats.

Output

Lead with the main conclusion, then cover status, direction, next steps and ETA, and optional numbered opportunities. Use plain language and concise paragraphs. Routine updates should omit unchanged assessments.

Ask only for consequential decisions; otherwise state reasonable assumptions and proceed. Do not repeat checks or launch investigations merely to embellish the report.

© swyxio, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in review-thread of swyxio/skills.

Open the folder on GitHubat commit 038ef34

Compare with similar skills

Review Thread next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Review Thread compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review Thread this skillswyxio/skills175—~703Automated safety check: PassMIT
Goal Progresshashgraph-online/awesome-codex-plugins1.3k—~1.4kAutomated safety check: PassApache-2.0
Goalscodewhale-hq/Codewhale41k—~273Automated safety check: PassMIT
Ccs Alignthedotmack/claude-mem99k—~6.1kAutomated safety check: PassApache-2.0
Agent Goal Plannerruvnet/ruflo74k2 repos~842Automated safety check: PassMIT
Goal Planruvnet/ruflo74k—~807Automated safety check: NotesMIT

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Questions about Review Thread

What does Review Thread do?

Review task progress, goal alignment, agent-time ETA, and worthwhile parallel work. Review Thread is an agent skill from swyxio/skills. Review task progress, goal alignment, agent-time ETA, and worthwhile parallel work.

When should I use Review Thread?

Review Thread fits situations like: the user invokes /review-thread; requests a progress; scope assessment.

How do I install Review Thread in Claude Code?

Run `npx skills add swyxio/skills --skill review-thread -a claude-code`. Or copy the skill folder (review-thread in swyxio/skills) into .claude/skills/review-thread in your project. Claude Code loads it when a task matches its description.

How do I install Review Thread in Codex?

Run `npx skills add swyxio/skills --skill review-thread -a codex`. Or copy the skill folder (review-thread in swyxio/skills) into .agents/skills/review-thread in your project. Codex loads it when a task matches its description.

Can I use Review Thread in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add swyxio/skills --skill review-thread -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review-thread, .gemini/skills/review-thread, .github/skills/review-thread and .opencode/skills/review-thread in your project.

What does Review Thread need to run?

SKILL.md names no scripts, command-line tools or credentials: Review Thread is instructions for the agent only.

Does Review Thread access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Review Thread safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Review Thread use?

Review Thread is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Review Thread use?

About 703 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Review Thread?

Skills that share tags, products or a category with Review Thread: Goal Progress (hashgraph-online/awesome-codex-plugins, 1.3k stars), Goals (codewhale-hq/Codewhale, 41k stars), Ccs Align (thedotmack/claude-mem, 99k stars) and Agent Goal Planner (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review Thread?

swyxio (a GitHub user) maintains it in swyxio/skills, which has 175 GitHub stars. The repository holds 89 skills in this directory. The repository was last updated on October 5, 2026.

Source: swyxio/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.