Agent skill

Winning Avg Corewars

by lazyFrogLOL in lazyFrogLOL/Harness_Engineering

Guidance for developing CoreWars warriors that achieve target win rates against specific opponents.

No licenceAuto-check passedDevelopment

Install Winning Avg Corewars

skills CLI
$ npx skills add lazyFrogLOL/Harness_Engineering --skill winning-avg-corewars -a claude-code

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

GitHub CLI
$ gh skill install lazyFrogLOL/Harness_Engineering winning-avg-corewars --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/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/winning-avg-corewars .claude/skills/winning-avg-corewars && 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
winning-avg-corewars
GitHub stars
128
Token cost
~2.1k tokens
SKILL.md length
989 words
Files
1
Skills in repo
32
Repo updated
First seen
Licence
None found

At a glance

Guidance for developing CoreWars warriors that achieve target win rates against specific opponents.

  • Works in 7 steps: Opponent Analysis → Strategy Selection → Initial Implementation → …
  • Tasks that involve Debugging
  • SKILL.md covers Overview, Prerequisites, Development Workflow and Common Pitfalls, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Winning Avg Corewars is an agent skill from lazyFrogLOL/Harness_Engineering. Guidance for developing CoreWars warriors that achieve target win rates against specific opponents. This skill should be used when tasks involve writing, optimizing, or debugging Redcode assembly warr

Its SKILL.md is about 2.1k 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 Debugging.

When your agent uses it

  • Tasks that involve Debugging

Example prompts

  • “/winning-avg-corewars”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Opponent Analysis
  2. Strategy Selection
  3. Initial Implementation
  4. Systematic Testing
  5. Parameter Optimization
  6. Debugging Failures
  7. Multi-Opponent Optimization

What it can do on your machine

Read from SKILL.md and the folder at commit cae3b25. 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 (its code samples are bash).

    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

Winning Avg Corewars loads about 2.1k tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 989 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 989 words (~2,063 tokens).

“This skill provides a systematic methodology for developing CoreWars warriors that achieve specified win rate thresholds against multiple opponents. It emphasizes deep opponent analysis, systematic parameter tuning, automated testing, and targeted strategy development rather than ad-hoc trial-and-error approaches.”

— opening of SKILL.md by lazyFrogLOL
name
winning-avg-corewars

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/winning-avg-corewars of lazyFrogLOL/Harness_Engineering.

Open the folder on GitHubat commit cae3b25

Compare with similar skills

Winning Avg Corewars 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.

Winning Avg Corewars compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Winning Avg Corewars this skilllazyFrogLOL/Harness_Engineering128—~2.1kAutomated safety check: PassNone
Trellis Session Insightmindfold-ai/Trellis15k4 repos~1.7kAutomated safety check: PassAGPL-3.0
Native Data FetchingCherryHQ/cherry-studio-app4k6 repos~2.9kAutomated safety check: NotesMIT
Debugging Executionsn8n-io/n8n207k—~2.6kAutomated safety check: PassCustom licence
Aoti Debugpytorch/pytorch104k1 repos~1.7kAutomated safety check: PassCustom licence
Herdr Throwaway Reproductionherdrdev/herdr43k—~2.4kAutomated safety check: PassApache-2.0

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Categories

Questions about Winning Avg Corewars

What does Winning Avg Corewars do?

Guidance for developing CoreWars warriors that achieve target win rates against specific opponents. Winning Avg Corewars is an agent skill from lazyFrogLOL/Harness_Engineering. Guidance for developing CoreWars warriors that achieve target win rates against specific opponents.

When should I use Winning Avg Corewars?

Winning Avg Corewars fits situations like: tasks that involve Debugging.

How do I install Winning Avg Corewars in Claude Code?

Run `npx skills add lazyFrogLOL/Harness_Engineering --skill winning-avg-corewars -a claude-code`. Or copy the skill folder (skills/winning-avg-corewars in lazyFrogLOL/Harness_Engineering) into .claude/skills/winning-avg-corewars in your project. Claude Code loads it when a task matches its description.

How do I install Winning Avg Corewars in Codex?

Run `npx skills add lazyFrogLOL/Harness_Engineering --skill winning-avg-corewars -a codex`. Or copy the skill folder (skills/winning-avg-corewars in lazyFrogLOL/Harness_Engineering) into .agents/skills/winning-avg-corewars in your project. Codex loads it when a task matches its description.

Can I use Winning Avg Corewars 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 lazyFrogLOL/Harness_Engineering --skill winning-avg-corewars -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/winning-avg-corewars, .gemini/skills/winning-avg-corewars, .github/skills/winning-avg-corewars and .opencode/skills/winning-avg-corewars in your project.

What does Winning Avg Corewars need to run?

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

Does Winning Avg Corewars 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 Winning Avg Corewars 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 Winning Avg Corewars use?

No licence was found for Winning Avg Corewars or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Winning Avg Corewars use?

About 2.1k tokens (SKILL.md is roughly 8.3k 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 Winning Avg Corewars?

Skills that share tags, products or a category with Winning Avg Corewars: Trellis Session Insight (mindfold-ai/Trellis, 15k stars), Native Data Fetching (CherryHQ/cherry-studio-app, 4k stars), Debugging Executions (n8n-io/n8n, 207k stars) and Aoti Debug (pytorch/pytorch, 104k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Winning Avg Corewars?

lazyFrogLOL (a GitHub user) maintains it in lazyFrogLOL/Harness_Engineering, which has 128 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on May 18, 2026.

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