New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Shower

by LilMGenius in LilMGenius/paperthin

Cold-read the artifact you're focused on from a fresh, zero-context sub-session to confirm it stands on its own — a shower-thought reset for accumulated session bias.

MITAuto-check passedTesting & QA

Install Shower

skills CLI
$ npx skills add LilMGenius/paperthin --skill shower -a claude-code

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

GitHub CLI
$ gh skill install LilMGenius/paperthin shower --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/LilMGenius/paperthin.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/depth/shower .claude/skills/shower && 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
shower
GitHub stars
1.1k
Token cost
~820 tokens
SKILL.md length
463 words
Files
1
Skills in repo
28
Repo updated
First seen
Licence
MIT

At a glance

Cold-read the artifact you're focused on from a fresh, zero-context sub-session to confirm it stands on its own — a shower-thought reset for accumulated session bias.

  • Works in 5 steps: Pin the scope: the artifact (or set)… → Launch a fresh sub-session (a subagent /… → Have it cold-read blind and report, from… → …
  • Before a handoff
  • SKILL.md covers Goal, Workflow, Rules and Verification
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Shower is an agent skill from LilMGenius/paperthin. Cold-read the artifact you're focused on from a fresh, zero-context sub-session to confirm it stands on its own — a shower-thought reset for accumulated session bias. Use when a long session has worn away your fresh eyes and you can no longer tell whether the artifact in focus is clear to someone with no prior context; before a handoff, publish, or merge; or when you want a clean-room comprehension smoke test. Spawns a separate context-free reviewer; it diagnoses, it does not fix.

Its SKILL.md is about 820 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA, covering QA and bug reports. The repository describes itself as: Low-level agentic design patterns. Turning old engineering wisdom into reflexes your agent reaches for on its own—on any agent. The licence is MIT.

When your agent uses it

  • Before a handoff
  • You want a clean-room comprehension smoke test

Example prompts

  • “/shower”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Pin the scope: the artifact (or set) currently in focus. If "in focus" is ambiguous, confirm with the user or take the artifact just…
  2. Launch a fresh sub-session (a subagent / Task — it starts context-free). Hand it the artifact's contents (inline, or a copy), not a repo…
  3. Have it cold-read blind and report, from the artifact alone
  4. Compare its blind understanding against the intent you noted in step 1 (which it never saw). Every mismatch is a defect in the artifact…
  5. Report the defects and concrete fixes, ordered by how badly each blocks a fresh reader.

What it can do on your machine

Read from SKILL.md and the folder at commit 7d5dc62. 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

Shower loads about 820 tokens when it runs. Until then it costs about 123 tokens; SKILL.md has 463 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~123
When it runs · the whole SKILL.md, loaded when a task matches
~820

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 LilMGenius/paperthin at commit 7d5dc62, republished under its MIT licence (© LilMGenius). 463 words, ~820 tokens.

Download SKILL.mdSave it as .claude/skills/shower/SKILL.md (or your agent's skills folder).
name
shower
description
Cold-read the artifact you're focused on from a fresh, zero-context sub-session to confirm it stands on its own — a shower-thought reset for accumulated session bias. Use when a long session has worn away your fresh eyes and you can no longer tell whether the artifact in focus is clear to someone with no prior context; before a handoff, publish, or merge; or when you want a clean-room comprehension smoke test. Spawns a separate context-free reviewer; it diagnoses, it does not fix.

Step out of the session and let a clean mind read it: does the artifact stand on its own?

Goal

A long session quietly accumulates context you can't un-see, so you lose the ability to judge whether your work reads clearly to a first-timer — you no longer know what you left unsaid (the unknown-unknowns). The fix is a literally fresh brain: a separate sub-session that never saw this conversation cold-reads the artifact in focus and reports where a clean reader would stall. A smoke test for comprehension and handoff. This skill diagnoses; the fixing happens back in the main session.

Workflow

  1. Pin the scope: the artifact (or set) currently in focus. If "in focus" is ambiguous, confirm with the user or take the artifact just produced or under discussion. Privately note, in one line, what it is meant to be and who it is for — your yardstick for step 4; the reviewer never sees it.
  2. Launch a fresh sub-session (a subagent / Task — it starts context-free). Hand it the artifact's contents (inline, or a copy), not a repo path, and tell it not to open the project's README, docs, or neighboring files that would spoil the cold read. Give it nothing about your intent or reasoning.
  3. Have it cold-read blind and report, from the artifact alone:
    • what it takes the artifact to be, do, and expect;
    • what is unclear, ambiguous, or assumed-but-unstated;
    • what it would need to act confidently, and what it had to guess.
  4. Compare its blind understanding against the intent you noted in step 1 (which it never saw). Every mismatch is a defect in the artifact, not a reader error.
  5. Report the defects and concrete fixes, ordered by how badly each blocks a fresh reader.
Show full SKILL.md (171 more words)Show less

Rules

  • The read MUST come from a separate, context-free sub-session — never self-assess in this session, because you can't un-see the context (that is the whole point).
  • Pass the artifact's contents, never your intent.
  • A forced "I had to assume…" is a finding, not a reader failure.
  • Medium-agnostic: adapt the cold-read questions to what the artifact is.
  • A single cold read is a single draw and can still be confidently wrong at high stakes; it is the default, not the ceiling of diligence, so escalate to multiple independent reads when the stakes justify the cost.
  • Read, don't sweep. The cold-read is an end-to-end read, not a pattern-grep — a sweep catches only known patterns and misses stale refs, dead links, fact drift, and silent edit-damage. Track how much was actually read; never report "clean" from a grep alone.

Verification

Before finishing:

  1. The read came from a fresh sub-session blind to your intent.
  2. Report the verdict (stands on its own / minor gaps / needs work) and hand the fixes to the main session.

© LilMGenius, 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 skills/depth/shower of LilMGenius/paperthin.

Open the folder on GitHubat commit 7d5dc62

Compare with similar skills

Shower 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.

Shower compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Shower this skillLilMGenius/paperthin1.1k—~820Automated safety check: PassMIT
Reproduce Chat Statesdifferent-ai/openwork24k—~673Automated safety check: PassCustom licence
Dynamo Jira TicketDynamoDS/Dynamo2k—~1.1kAutomated safety check: PassApache-2.0
Moav E2EMotherofallVPNs/MoaV448—~1.9kAutomated safety check: NotesMIT
Creating A Coral TaskHuman-Agent-Society/CORAL1.1k—~2.2kAutomated safety check: PassApache-2.0
Launch Rlmarin-community/marin3.9k—~894Automated safety check: PassApache-2.0

Similar skills

  • Reproduce Chat States

    different-ai/openwork

    Fires known chat states in the running OpenWork desktop app, such as provider errors, retries and tool steps, so you can check how each renders.

    24k GitHub stars~673 tokensUpdated today
    Testing & QAAuto-check passed

  • Dynamo Jira Ticket

    DynamoDS/Dynamo

    Create structured Jira tickets for Dynamo from bug reports, failing tests, or feature requests.

    2k GitHub stars~1.1k tokensUpdated today
    Testing & QAAuto-check passed

  • Moav E2E

    MotherofallVPNs/MoaV

    Run and debug MoaV's end-to-end tests — real protocol connectivity (client-test.sh) and the moav CLI smoke test — against a LIVE server, via the self-hosted e2e workflow or a local test VPS.

    448 GitHub stars~1.9k tokensUpdated 2 days ago
    Testing & QAAuto-check: notes

  • Creating A Coral Task

    Human-Agent-Society/CORAL

    Author a new CORAL task — the three pieces that must line up (task.yaml, seed/, a packaged grader/), the coral init → coral validate → smoke-test loop, and how to pick a grader pattern (stdout…

    1.1k GitHub stars~2.2k tokensUpdated 1 mo ago
    Testing & QAAuto-check passed

  • Launch Rl

    marin-community/marin

    Define, validate, submit, or restart a Marin SkyRL experiment through its artifact main.

    3.9k GitHub stars~894 tokensUpdated today
    Testing & QAAuto-check passed

  • Actionbook Web Test

    actionbook/actionbook

    Run browser-based web tests against websites using Actionbook CLI.

    1.6k GitHub stars~9.7k tokensUpdated 1 mo ago
    Testing & QAAuto-check passed

More from LilMGenius/paperthin

All 28 skills in this repo

  • Modelchk

    LilMGenius/paperthin

    Size a task's run before spending it: the cheapest sufficient capability tier (fast, standard, frontier) and the reasoning effort within it, on a neutral scale that binds to whatever levels the…

    1.1k GitHub stars~1.6k tokensUpdated 8 days ago
    Auto-check passed

  • Re0 Loop

    LilMGenius/paperthin

    Run repeated build - QA - re0-memo - re0-work cycles while preserving learning and letting code die.

    1.1k GitHub stars~579 tokensUpdated 8 days ago
    Auto-check passed

  • Autobahn

    LilMGenius/paperthin

    Carve guardrail-adjacent items out of scope with safe alternatives before risk-adjacent work starts, then run the safe remainder at full strength in a fresh subagent that only ever sees the carved…

    1.1k GitHub stars~2.1k tokensUpdated 8 days ago
    Auto-check passed

  • Catchup

    LilMGenius/paperthin

    Rebuild the human's lost context on a project from live state, in plain language: what needs them, what changed, what new words mean.

    1.1k GitHub stars~785 tokensUpdated 8 days ago
    Auto-check passed

  • Debloat

    LilMGenius/paperthin

    Compress an artifact that has accreted into bloat — padding, over-qualification, fused sentences, walls of enumeration, adjacent restatement — down to its load-bearing density, meaning preserved.

    1.1k GitHub stars~813 tokensUpdated 8 days ago
    Auto-check passed

  • Factchk

    LilMGenius/paperthin

    Verify reality-grounded claims against external sources in both directions before they ship — could the 'absurd' be real, could the 'obvious' be false or long-established?

    1.1k GitHub stars~717 tokensUpdated 8 days ago
    Auto-check passed

Categories

Questions about Shower

What does Shower do?

Cold-read the artifact you're focused on from a fresh, zero-context sub-session to confirm it stands on its own — a shower-thought reset for accumulated session bias. Shower is an agent skill from LilMGenius/paperthin. Cold-read the artifact you're focused on from a fresh, zero-context sub-session to confirm it stands on its own — a shower-thought reset for accumulated session bias.

When should I use Shower?

Shower fits situations like: before a handoff; you want a clean-room comprehension smoke test.

How do I install Shower in Claude Code?

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

How do I install Shower in Codex?

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

Can I use Shower 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 LilMGenius/paperthin --skill shower -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/shower, .gemini/skills/shower, .github/skills/shower and .opencode/skills/shower in your project.

What does Shower need to run?

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

Does Shower 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 Shower 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 Shower use?

Shower 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 Shower use?

About 820 tokens (SKILL.md is roughly 3.3k 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 Shower?

Skills that share tags, products or a category with Shower: Reproduce Chat States (different-ai/openwork, 24k stars), Dynamo Jira Ticket (DynamoDS/Dynamo, 2k stars), Moav E2E (MotherofallVPNs/MoaV, 448 stars) and Creating A Coral Task (Human-Agent-Society/CORAL, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Shower?

LilMGenius (a GitHub user) maintains it in LilMGenius/paperthin, which has 1,130 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on October 1, 2026.

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