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.
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.
npx skills add Prism-Shadow/penguin-harness --skill penguin-sdkgit clone --depth 1 https://github.com/Prism-Shadow/penguin-harnessWrote 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.
[](https://agentmods.dev/skills/prism-shadow/penguin-harness/penguin-sdk)<a href="https://agentmods.dev/skills/prism-shadow/penguin-harness/penguin-sdk"><img src="https://agentmods.dev/badge/skills/prism-shadow/penguin-harness/penguin-sdk/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.
<a href="https://agentmods.dev/skills/prism-shadow/penguin-harness/penguin-sdk"><img src="https://agentmods.dev/badge/skills/prism-shadow/penguin-harness/penguin-sdk.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00109 | $0.06900 |
| Opus 5 | $0.00055 | $0.03450 |
| Sonnet 5 | $0.00022 | $0.01380 |
| Haiku 4.5 | $0.00011 | $0.00690 |
Grade D, and why
penguin-sdk scanned grade D with 3 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 4d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
`curl -N -sS -X POST localhost:4630/api/ask -H 'content-type: application/json' -d '{"question":"<something the corpus answers>"}'` — expect streamed `data:` deltas ending in a `sources` event that carries `source`, `url Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
find corpus -type f ! -regex '.*\.\(md\|mdx\|txt\|html?\)$' -delete && rm -rf corpus/*/.git Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
git clone --depth 1 <repo_url> corpus/<name> # or curl pages into corpus/ Copies of this mod
1 near-identical copy found in the catalogue:
- ux-audit — 86% identical, 378 lines differ
How it starts
The opening of the file, as written. The whole thing — 360 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Penguin Harness SDK
@prismshadow/penguin-core is the TypeScript SDK this agent itself runs on. Use it to build your own AI apps:
- An Agent loads its state (prompts, tools, skills) from
<root>/<project_id>/agents/<agent_id>/. Creating an Agent whose directory is empty initializes it with defaults. - A Session is one conversation of an Agent inside a Workspace directory.
session.run()executes one task and streams every step (thinking, text, tool calls) as OmniMessages.
To have an agent perform a task, use the run_subagent tool — the SDK is for building applications, not for invoking agents.
Before you start
If the user's message only invokes this skill (e.g. "use penguin-sdk skill") without a concrete app to build, ask the user what they want to build. But when the request names a concrete goal — even a single sentence like "build a RAG app that answers questions about these docs" — do not ask follow-up questions: build it end to end with the defaults in this skill (self-contained workspace project, project default model, BM25 retrieval, web UI styled per the web-design skill) and list the assumptions you made in your final reply.
Project location
Create the app in the current workspace directory by default (the CWD value from your Environment section), as a self-contained project — do not place it under <app_data_dir> (PenguinHarness's app data root) or depend on any path outside the project folder. When creating the app's agent, the data root defaults under the working directory (CWD) too: point createAgent({ root }) at a directory inside the project, resolved from the source file so it stays relative:
const agent = await createAgent({ root: path.join(import.meta.dirname, "penguin_data") });
With every reference relative to the project, the user can move or copy the folder anywhere and it still runs.
Keys and the data root — check before you build
The app's Penguin data root must live inside the CWD workspace — never ~/.penguin. Point createAgent({ root }) and every penguin config ... --root <dir> at a directory under the current working directory (e.g. ./penguin_data); the global ~/.penguin belongs to the person running Penguin and must never hold — or lend — the app's config or keys.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago Changed · -4 lines d3933c7da9e9
- 10d ago First seen · 364 lines · 109 tokens per session scan D 220f20c241a1
penguin-sdk is a skill published in the GitHub repository Prism-Shadow/penguin-harness (2,048 stars, last pushed today), licensed Apache-2.0. It adds 109 tokens to every session and 6,900 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it D with 3 findings (sends data to an external url, recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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