Agent skill

Software Engineering

by Prism-Shadow in Prism-Shadow/penguin-harness

Complete software-engineering tasks — investigate and review code, implement bug fixes, features and refactors with minimal scope, validate changes, and report verified outcomes.

Apache-2.0Auto-check passedDevelopment

Install Software Engineering

skills CLI
$ npx skills add Prism-Shadow/penguin-harness --skill software-engineering -a claude-code

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

GitHub CLI
$ gh skill install Prism-Shadow/penguin-harness software-engineering --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/Prism-Shadow/penguin-harness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/software-development/skills/software-engineering .claude/skills/software-engineering && 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
software-engineering
GitHub stars
2.5k
Token cost
~758 tokens
SKILL.md length
395 words
Files
1
Skills in repo
31
Repo updated
First seen
Licence
Apache-2.0

At a glance

Complete software-engineering tasks — investigate and review code, implement bug fixes, features and refactors with minimal scope, validate changes, and report verified outcomes.

  • Tasks that involve Refactoring
  • SKILL.md covers Before you start, Workflow and Handoff
  • Calls git
  • Tasks that involve Debugging

What it does

Software Engineering is an agent skill from Prism-Shadow/penguin-harness. Complete software-engineering tasks — investigate and review code, implement bug fixes, features and refactors with minimal scope, validate changes, and report verified outcomes.

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, covering Refactoring, Debugging and Code review. The repository describes itself as: 🐧 Unified and Stable RSI Platform. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Refactoring
  • Tasks that involve Debugging
  • Tasks that involve Code review

Example prompts

  • “/software-engineering”

What it can do on your machine

Read from SKILL.md and the folder at commit d56d9ce. 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

    Shell commands in SKILL.md call:

    • git

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

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    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

Software Engineering loads about 758 tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 395 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
When it runs · the whole SKILL.md, loaded when a task matches
~758

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 Prism-Shadow/penguin-harness at commit d56d9ce, republished under its Apache-2.0 licence (© Prism-Shadow). 395 words, ~758 tokens.

Download SKILL.mdSave it as .claude/skills/software-engineering/SKILL.md (or your agent's skills folder).
name
software-engineering
description
Complete software-engineering tasks — investigate and review code, implement bug fixes, features and refactors with minimal scope, validate changes, and report verified outcomes.

Software Engineering

This skill guides PenguinHarness through general software-engineering work, including code investigation, reviews, bug fixes, features, refactors, and verified handoff.

Before you start

If the user's message only invokes this skill without a concrete software-engineering task, ask what they want investigated, reviewed, fixed, or implemented. Do not start until the task is clear.

Workflow

  • Match the work to the user's intent. For explanation, review, or planning requests, inspect and report without editing unless a change is also requested. For implementation tasks, carry the requested change through verification and handoff.
  • Use the current working directory as the target project and work in place unless the user directs otherwise.
  • Preserve worktree changes you did not make. Never revert unrelated user or collaborator work, and do not use destructive Git commands unless explicitly requested.
  • Act autonomously and use tools to understand the real code. Resolve minor ambiguity from existing behavior, tests, and repository conventions; ask only when different choices would materially change the requested behavior or scope.
  • Before making changes, read the applicable repository instructions (such as AGENTS.md or CLAUDE.md) and identify the repository-provided build, test, lint, and formatting commands.
  • Inspect the relevant implementation, callers, tests, and interfaces before making changes.
  • For bug reports, try to reproduce the issue or identify a failing test before editing when feasible. Use the reproduced behavior or failing test to verify the fix afterward.
  • Make the smallest coherent change that fully satisfies the request. Follow existing patterns and dependencies, preserve unrelated behavior, and update coupled tests, schemas, configuration, or generated artifacts only when the repository requires it. Never weaken a test to justify the implementation.
  • For implementation tasks, do not stop after analysis. Inspect failures, revise the approach, and continue until the change is verified or a concrete blocker remains. Do not repeat a failed action without changing the approach.
  • Validate code changes proportionally with repository-provided commands: run the most focused relevant check first and broaden only when useful. Preserve exit status, inspect relevant failure output, and never claim that an unobserved check passed.
  • Before finishing a code change, review git diff and repository status, remove temporary artifacts, and keep the change limited to the task. Do not commit unless the user or applicable repository instructions require it.
Show full SKILL.md (23 more words)Show less

Handoff

  • Keep the final response concise: summarize the outcome or change, list checks actually run and their outcomes, and state any remaining limitation.

© Prism-Shadow, Apache-2.0. 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 plugins/software-development/skills/software-engineering of Prism-Shadow/penguin-harness.

Open the folder on GitHubat commit d56d9ce

Compare with similar skills

Software Engineering 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.

Software Engineering compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Software Engineering this skillPrism-Shadow/penguin-harness2.5k—~758Automated safety check: PassApache-2.0
Code Review Graph Navigatorhandsontable/handsontable22k—~939Automated safety check: PassCustom licence
RoamCranot/roam-code517—~2.4kAutomated safety check: PassApache-2.0
Synapse UsageS1LV4/th0th136—~2.9kAutomated safety check: PassMIT
Copilot Code Coachtimothywarner/chatgptclass143—~1.9kAutomated safety check: PassCustom licence
Panel Reviewstacklok/mecatl241—~5.8kAutomated safety check: PassApache-2.0

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Categories

Questions about Software Engineering

What does Software Engineering do?

Complete software-engineering tasks — investigate and review code, implement bug fixes, features and refactors with minimal scope, validate changes, and report verified outcomes. Software Engineering is an agent skill from Prism-Shadow/penguin-harness. Complete software-engineering tasks — investigate and review code, implement bug fixes, features and refactors with minimal scope, validate changes, and report verified outcomes.

When should I use Software Engineering?

Software Engineering fits situations like: tasks that involve Refactoring; tasks that involve Debugging; tasks that involve Code review.

How do I install Software Engineering in Claude Code?

Run `npx skills add Prism-Shadow/penguin-harness --skill software-engineering -a claude-code`. Or copy the skill folder (plugins/software-development/skills/software-engineering in Prism-Shadow/penguin-harness) into .claude/skills/software-engineering in your project. Claude Code loads it when a task matches its description.

How do I install Software Engineering in Codex?

Run `npx skills add Prism-Shadow/penguin-harness --skill software-engineering -a codex`. Or copy the skill folder (plugins/software-development/skills/software-engineering in Prism-Shadow/penguin-harness) into .agents/skills/software-engineering in your project. Codex loads it when a task matches its description.

Can I use Software Engineering 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 Prism-Shadow/penguin-harness --skill software-engineering -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/software-engineering, .gemini/skills/software-engineering, .github/skills/software-engineering and .opencode/skills/software-engineering in your project.

What does Software Engineering need to run?

Going by SKILL.md and its folder, Software Engineering needs the command-line tools its instructions call (git).

Does Software Engineering access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Software Engineering 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 Software Engineering use?

Software Engineering is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Software Engineering use?

About 758 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 Software Engineering?

Skills that share tags, products or a category with Software Engineering: Code Review Graph Navigator (handsontable/handsontable, 22k stars), Roam (Cranot/roam-code, 517 stars), Synapse Usage (S1LV4/th0th, 136 stars) and Copilot Code Coach (timothywarner/chatgptclass, 143 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Software Engineering?

Prism-Shadow (a GitHub organization) maintains it in Prism-Shadow/penguin-harness, which has 2,455 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on October 7, 2026.

Source: Prism-Shadow/penguin-harness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.