penguin-harness: Skill for Claude Code

.agents/skills/penguin-harness-writing/SKILL.md

penguin-harness-writing is a skill for Claude Code, Codex from Prism-Shadow/penguin-harness. It costs 119 tokens per session (11,056 once invoked), scanned A, original, Apache-2.0.

A writing workflow for penguin.ooo coordinates research, drafting, review, translation, and publishing through agents and a text-generation service. It covers blog posts, documentation pages, and landing-page copy.

In plain words
What is it for?
Use it to outline and draft posts or docs, revise complete pieces, translate them, and prepare related captions, alt text, and landing-page text.
Why use it?
It keeps reader-facing text, prompts, facts, screenshots, and later edits in a defined process instead of having agents type directly into the published draft.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is Prism-Shadow/penguin-harness's own configuration. It tells Claude Code and Codex how to work on penguin-harness itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything penguin-harness configures →

About the project

PenguinHarness is a local-first platform in which multiple AI agents create, evaluate, optimize, and deploy agent applications. It is for people building AI software who want agents to generate applications and improve their own behavior through skills.

Prism-Shadow/penguin-harness · 2,975 stars · on GitHub · penguin.ooo

Reuse

Borrowing it

Nothing to install: this file belongs to Prism-Shadow/penguin-harness. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Prism-Shadow/penguin-harness/main/.agents/skills/penguin-harness-writing/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Prism-Shadow/penguin-harness

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for penguin-harness-writing

README.md
[![agentmods](https://agentmods.dev/badge/skills/prism-shadow/penguin-harness/penguin-harness-writing/github.svg)](https://agentmods.dev/skills/prism-shadow/penguin-harness/penguin-harness-writing)
Your own site
<a href="https://agentmods.dev/skills/prism-shadow/penguin-harness/penguin-harness-writing"><img src="https://agentmods.dev/badge/skills/prism-shadow/penguin-harness/penguin-harness-writing/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for penguin-harness-writing

Your own site · 80×15
<a href="https://agentmods.dev/skills/prism-shadow/penguin-harness/penguin-harness-writing"><img src="https://agentmods.dev/badge/skills/prism-shadow/penguin-harness/penguin-harness-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 119 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 11,056 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00119 $0.11056
Opus 5.5 $0.00048 $0.04422
Sonnet 5.5 $0.00024 $0.02211
Haiku 4.5 $0.00012 $0.01106

Measured 3d ago against content hash 16125ec05a14, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

penguin-harness-writing scanned grade A with 1 finding 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 3d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/prose.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

dark, the references list and a jump to it). `curl` there may need `--noproxy '*'`.
.agents/skills/penguin-harness-writing/SKILL.md · 535 lines

How it starts

The opening of the file, as written. The whole thing — 535 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Writing for penguin.ooo

Posts, docs pages and landing copy are written by a model on the TokenDance gateway and shipped by agents. A post is written the way a person writes one: an outline first, then the whole post in one call, so its sections join; the review, the fixes, the cuts and the translation work on the whole post too, and a round of its own edits only the sentences at the headings. A long post or a docs page can fall back to section mode. This page is the contract; scripts/prose.mjs is the only way text reaches a draft, and prompts/ plus reference/ hold every word sent to the model. penguin-harness-dev/reference/authoring.md covers what is true of every post (the bilingual pair, frontmatter, where screenshots live).

1. Who writes what

The API model writes every word a reader sees: the outline and its plan, every section, the title and excerpt, every string inside a figure, alt text and captions, the second language, every docs sentence and landing string, and every later fix or cut. Each is its own API call through prose.mjs.

Agents never type a sentence into the text. They research, compile FACTS, write prompts and findings, put the model's text together, draw figures from the model's figure blocks, take screenshots, run the checks, review blind and ship. Putting the text into the manuscript is also the agent's job, and it is mechanical: write saves the draft, assemble joins section files in section mode, and strip publishes them. A wrong sentence goes back through a fix call with a numbered finding, never through an editor. The only hand edits are mechanical: frontmatter date / category, screenshot paths and their -en / -zh suffixes, whitespace, the boilerplate version note copied verbatim from an existing post, and copying landing strings into the dictionaries verbatim.

The key never enters the repo. It sits in a chmod-600 file outside the tree; the script reads TOKENDANCE_API_KEY or the file named by TOKENDANCE_KEY_FILE, never an argument, and prints neither. Raw responses (with the model's reasoning) are saved in a scratch directory and never committed.

Read the full file on GitHub · 535 lines

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. 3d ago First seen · 535 lines · 119 tokens per session scan A 16125ec05a14

Subscribe to this mod's changes

penguin-harness-writing is a skill published in the GitHub repository Prism-Shadow/penguin-harness (2,975 stars, last pushed today), licensed Apache-2.0. It adds 119 tokens to every session and 11,056 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-24.

Related

Other skills, from other repositories

agentscope-java

Expert Java developer skill for AgentScope Java framework - a reactive, message-driven multi-agent system built on Project Reactor. Use when working with reactive programming, LLM integration, agent orchestration, multi-agent systems, or when the user mentions AgentScope, ReActAgent, Mono/Flux, Project Reactor, or…

agentscope-ai/agentscope-java · 91 tokens

apply-patch

Apply multi-file or tricky edits atomically with git apply instead of many fragile editfile calls. Use when changing several files at once or when editfile fails to match.

agentscope-ai/agentscope-java · 38 tokens

git-checkpoint

Use git as a safety net - create a checkpoint commit before risky or large changes and roll back cleanly if a change makes things worse. Use before multi-file refactors.

agentscope-ai/agentscope-java · 39 tokens

pptagent

Create and revise editable PowerPoint presentations from a brief using HTML slide sources, rendering, and visual review. Use when the requested deliverable is a PPTX deck. The host authors the slides; text-only hosts can use an external visual reviewer.

icip-cas/PPTAgent · 52 tokens

computer-history

Answer questions about what the user recently did on their computer — who contacted them, what they were working on, where they left off — by reading the local Computer History summaries and raw event streams.

MemTensor/memmy-agent · 42 tokens

browser-workflow-skill-builder

Create robust browser automation skills for sites like LinkedIn, X/Twitter, YouTube, Stripe, or other logged-in web apps by saving page context, analyzing HTML/CSS, writing skill-local JS extract/verify scripts, and using CSS selector actions with screenshot verification.

openonion/connectonion · 61 tokens