Agent skill

Sip

by LilMGenius in LilMGenius/paperthin

After you create or change an artifact or skill, taste-test it with our own skills instead of trusting your in-session judgment — recursive self-improvement, made automatic.

MITAuto-check passedDevelopment

Install Sip

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

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

GitHub CLI
$ gh skill install LilMGenius/paperthin sip --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/sip .claude/skills/sip && 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
sip
GitHub stars
1.1k
Token cost
~761 tokens
SKILL.md length
423 words
Files
1
Skills in repo
28
Repo updated
First seen
Licence
MIT

At a glance

After you create or change an artifact or skill, taste-test it with our own skills instead of trusting your in-session judgment — recursive self-improvement, made automatic.

  • Works in 7 steps: Spot the trigger: you just created or… → Cold-read it — run shower on the… → Verify it's true — if the artifact… → …
  • Development work in your project
  • SKILL.md covers Goal, Workflow, Rules and Verification
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Sip is an agent skill from LilMGenius/paperthin. After you create or change an artifact or skill, taste-test it with our own skills instead of trusting your in-session judgment — recursive self-improvement, made automatic. Use right after writing or editing anything, before calling it done, committing, or handing it off.

Its SKILL.md is about 760 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 Development. 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

  • Development work in your project

Example prompts

  • “/sip”

Workflow steps

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

  1. Spot the trigger: you just created or changed an artifact or skill and are about to call it done, commit, or hand it off.
  2. Cold-read it — run shower on the artifact (fresh-eyes comprehension / handoff check).
  3. Verify it's true — if the artifact asserts a reality-grounded claim, run factchk; if it defines an eval, metric, or experiment, run…
  4. Check consistency — run ssotize in audit mode across the repo for anything the change duplicated or contradicted; execute its…
  5. Detool portability claims — run detool only when the artifact claims portability, tool-neutrality, stack-agnostic durability, or…
  6. Tidy — re0 the changed docs so the result reads as a clean v0, not a patch over a draft.
  7. Apply the findings here, then serve it.

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

Sip loads about 761 tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 423 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
When it runs · the whole SKILL.md, loaded when a task matches
~761

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). 423 words, ~761 tokens.

Download SKILL.mdSave it as .claude/skills/sip/SKILL.md (or your agent's skills folder).
name
sip
description
After you create or change an artifact or skill, taste-test it with our own skills instead of trusting your in-session judgment — recursive self-improvement, made automatic. Use right after writing or editing anything, before calling it done, committing, or handing it off.

Taste your own cooking: the moment you finish making something, check it with the very skills this repo ships before you serve it.

Goal

A reminder buried in docs ("remember to verify") won't reliably fire in a fresh session. sip makes the recursive self-improvement loop a triggered habit: right after any create or change, run our own skills on the result — the clean checks and the true ones — so quality doesn't ride on the author's biased in-session judgment.

Workflow

  1. Spot the trigger: you just created or changed an artifact or skill and are about to call it done, commit, or hand it off.
  2. Cold-read it — run shower on the artifact (fresh-eyes comprehension / handoff check).
  3. Verify it's true — if the artifact asserts a reality-grounded claim, run factchk; if it defines an eval, metric, or experiment, run mandela. Skip when it has neither.
  4. Check consistency — run ssotize in audit mode across the repo for anything the change duplicated or contradicted; execute its consolidation plan only after approval.
  5. Detool portability claims — run detool only when the artifact claims portability, tool-neutrality, stack-agnostic durability, or cross-agent reuse. Skip when it is provenance, operational notes, a tool-targeted runbook, or does not claim portability.
  6. Tidy — re0 the changed docs so the result reads as a clean v0, not a patch over a draft.
  7. Apply the findings here, then serve it.
Show full SKILL.md (193 more words)Show less

Rules

  • Trigger on your OWN output, right after making it — that's when bias is highest and a check is cheapest.
  • Use the skills; don't re-implement them — shower for clarity, factchk/mandela for truth, ssotize for SSOT, detool for portability claims, re0 for cleanup. sip orchestrates and routes findings back to the author session to fix; the skills do the work.
  • Skip what plainly doesn't apply, or any check whose skill isn't installed — run only what's present. factchk/mandela fire only when there is a claim or an eval; detool fires only when the artifact claims portability, tool-neutrality, stack-agnostic durability, or cross-agent reuse; a one-line prose tweak may need only a consistency check. Say what you skipped and why.
  • Stop at the artifact — sip never touches git or makes commits.
  • Chain only model-invoked skills; a user-invoked skill (marked disable-model-invocation) is a human's to fire deliberately, so sip must not call one.

Verification

Before finishing:

  1. The change was actually run through the relevant skills, not eyeballed.
  2. Findings were applied (or consciously deferred with a stated reason).
  3. The artifact actually changed as a result (a diff exists), or every skipped skill has a stated reason.

© 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/sip of LilMGenius/paperthin.

Open the folder on GitHubat commit 7d5dc62

Compare with similar skills

Sip 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.

Sip compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sip this skillLilMGenius/paperthin1.1k—~761Automated safety check: PassMIT
Vercel Composition Patternssupabase/supabase111k59 repos~726Automated safety check: PassMIT
Finishing a Development Branchobra/superpowers296k5 repos~1.9kAutomated safety check: PassMIT
Typescript Advanced Typesrolling-scopes/rsschool-app10k25 repos~4.2kAutomated safety check: PassMPL-2.0
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT

Similar skills

  • Official

    React composition patterns that scale. An agent skill from supabase/supabase.

    111k GitHub starsUsed in 59 repos~726 tokens
    DevelopmentAuto-check passed
  • Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.

    296k GitHub starsUsed in 5 repos~1.9k tokens
    DevelopmentAuto-check passed
  • Typescript Advanced Types

    rolling-scopes/rsschool-app

    Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.

    10k GitHub starsUsed in 25 repos~4.2k tokens
    DevelopmentAuto-check passed
  • PR Babysitter

    openinterpreter/openinterpreter

    Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.

    69k GitHub starsUsed in 3 repos~4.2k tokens
    DevelopmentAuto-check passed
  • Code Review Checklist

    shareAI-lab/learn-claude-code

    Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.

    78k GitHub starsUsed in 5 repos~1.1k tokens
    DevelopmentAuto-check passed
  • Greploop

    onyx-dot-app/onyx

    Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.

    32k GitHub starsUsed in 4 repos~3.3k tokens
    DevelopmentAuto-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 7 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 7 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 7 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 7 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 7 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 7 days ago
    Auto-check passed

Categories

Questions about Sip

What does Sip do?

After you create or change an artifact or skill, taste-test it with our own skills instead of trusting your in-session judgment — recursive self-improvement, made automatic. Sip is an agent skill from LilMGenius/paperthin. After you create or change an artifact or skill, taste-test it with our own skills instead of trusting your in-session judgment — recursive self-improvement, made automatic.

When should I use Sip?

Sip fits situations like: development work in your project.

How do I install Sip in Claude Code?

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

How do I install Sip in Codex?

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

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

What does Sip need to run?

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

Does Sip 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 Sip 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 Sip use?

Sip 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 Sip use?

About 761 tokens (SKILL.md is roughly 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 Sip?

Skills that share tags, products or a category with Sip: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 296k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sip?

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.