Agent skill

Evopolicygym

by Linzwcs in Linzwcs/EvoPolicyGym

Operate and extend EvoPolicyGym through its public SDK. An agent skill from Linzwcs/EvoPolicyGym.

MITAuto-check passed

Install Evopolicygym

skills CLI
$ npx skills add Linzwcs/EvoPolicyGym --skill evopolicygym -a claude-code

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

GitHub CLI
$ gh skill install Linzwcs/EvoPolicyGym evopolicygym --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/Linzwcs/EvoPolicyGym.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/evopolicygym .claude/skills/evopolicygym && 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
evopolicygym
GitHub stars
175
Token cost
~890 tokens
SKILL.md length
374 words
Files
8 (incl. references)
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

Operate and extend EvoPolicyGym through its public SDK. An agent skill from Linzwcs/EvoPolicyGym.

  • Host/operator setup
  • SKILL.md covers Route the task, Preserve the command and Skill… and Preserve public and security…
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Policy Program evaluation

What it does

Evopolicygym is an agent skill from Linzwcs/EvoPolicyGym. Operate and extend EvoPolicyGym through its public SDK. Use for Host/operator setup, Policy Program evaluation, Coding Agent Run configuration, CodingAgent provider integration, Benchmark distribution authoring, retained Run diagnostics, or Kernel development. Do not use as a Benchmark-specific Policy-strategy Skill inside an active Run.

Its SKILL.md is about 890 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `agents/openai.yaml`, `references/authoring.md` and `references/diagnostics.md`).

The repository describes itself as: EvoPolicyGym is infrastructure for evaluating coding agents and generating training experience through Autonomous Policy Evolution. The licence is MIT.

When your agent uses it

  • Host/operator setup
  • Policy Program evaluation
  • Coding Agent Run configuration
  • CodingAgent provider integration

Example prompts

  • “/evopolicygym”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit a3d9669. 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

Evopolicygym loads about 890 tokens when it runs, and up to ~6.2k if it reads all its reference files. Until then it costs about 88 tokens; SKILL.md has 374 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~88
When it runs · the whole SKILL.md, loaded when a task matches
~890
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.2k

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 Linzwcs/EvoPolicyGym at commit a3d9669, republished under its MIT licence (© Linzwcs). 374 words, ~890 tokens.

Download SKILL.mdSave it as .claude/skills/evopolicygym/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
evopolicygym
description
Operate and extend EvoPolicyGym through its public SDK. Use for Host/operator setup, Policy Program evaluation, Coding Agent Run configuration, CodingAgent provider integration, Benchmark distribution authoring, retained Run diagnostics, or Kernel development. Do not use as a Benchmark-specific Policy-strategy Skill inside an active Run.

EvoPolicyGym

Use this Skill for caller-side EvoPolicyGym work. Keep Host orchestration, Benchmark behavior, the Coding Agent workspace, and Episode-local Policy execution as separate authority boundaries.

Route the task

Load only the references required by the current task:

When a task spans workflows, perform setup or authoring first, direct Evaluation second, and a Coding Agent Run last.

Preserve the command and Skill boundaries

  • Treat evopolicygym as the Host/operator command presentation and use the public Python SDK for Evaluation, Run, and authoring workflows.
  • Treat evopolicygym-session as an Agent-only client projected into one active Run. The Host-generated task is authoritative for its current submit, finish, workspace, and budget instructions.
  • Do not invoke Session commands as an external operator or duplicate their syntax in a provider integration.
  • Pass Benchmark-specific Skills explicitly as immutable AgentSkill.from_directory() inputs to run(). They are independent Run inputs, not Benchmark properties, and are never exposed to the Policy.
  • Do not use this general Skill as a substitute for a task-specific Benchmark-strategy Skill inside a Run.
Show full SKILL.md (135 more words)Show less

Preserve public and security boundaries

  • Confirm Python 3.12, the installed EvoPolicyGym version, and the selected Environment distribution before constructing imports or commands.
  • Treat every Environment as an independently installable distribution. Read its package documentation instead of guessing imports, factories, extras, or task configuration.
  • Use only the supported public SDK. External distributions may import evopolicygym.authoring; they must not import private _... modules.
  • Keep Policy-visible values within the bounded PolicyValue ABI. Never cross the Policy boundary with Host paths, descriptors, credentials, private Episode seeds, Case identity, scorer objects, or custom Python objects.
  • Treat ProcessExecution.unsafe() as an acknowledgement, not isolation. The Agent and Policy execute with the current operating-system user's authority.
  • Never silently replace a requested virtualization profile with local process execution.

Follow the selected reference's workflow-specific verification and reporting checklist. Report only fields relevant to the operation performed.

© Linzwcs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (references) in skills/evopolicygym of Linzwcs/EvoPolicyGym.

  • SKILL.md
  • agents/openai.yaml
  • references/authoring.md
  • references/diagnostics.md
  • references/evaluation.md
  • references/providers.md
  • references/run.md
  • references/setup.md

Open the folder on GitHubat commit a3d9669

Compare with similar skills

Evopolicygym 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.

Evopolicygym compared with similar skills
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Evopolicygym this skillLinzwcs/EvoPolicyGym175—~890Automated safety check: PassMIT
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Cross Host Federationruvnet/ruflo74k—~1.1kAutomated safety check: PassMIT
Operator Approval Loopaffaan-m/ECC276k—~3.3kAutomated safety check: PassMIT
Business Operations Skillsalirezarezvani/claude-skills28k—~2.3kAutomated safety check: PassMIT
Kubernetes Operatoralirezarezvani/claude-skills28k—~2.8kAutomated safety check: PassMIT

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Questions about Evopolicygym

What does Evopolicygym do?

Operate and extend EvoPolicyGym through its public SDK. An agent skill from Linzwcs/EvoPolicyGym. Evopolicygym is an agent skill from Linzwcs/EvoPolicyGym. Operate and extend EvoPolicyGym through its public SDK.

When should I use Evopolicygym?

Evopolicygym fits situations like: host/operator setup; policy Program evaluation; coding Agent Run configuration; codingAgent provider integration.

How do I install Evopolicygym in Claude Code?

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

How do I install Evopolicygym in Codex?

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

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

What does Evopolicygym need to run?

SKILL.md names no scripts, command-line tools or credentials: Evopolicygym is instructions for the agent only. Our summary lists: Python 3.

Does Evopolicygym 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 Evopolicygym 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 Evopolicygym use?

Evopolicygym 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 Evopolicygym use?

About 890 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.3k tokens, read only when the agent opens those files.

What are the alternatives to Evopolicygym?

Skills that share tags, products or a category with Evopolicygym: It Operations (davila7/claude-code-templates, 33k stars), Cross Host Federation (ruvnet/ruflo, 74k stars), Operator Approval Loop (affaan-m/ECC, 276k stars) and Business Operations Skills (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Evopolicygym?

Linzwcs (a GitHub user) maintains it in Linzwcs/EvoPolicyGym, which has 175 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 18, 2026.

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