Darwin Skill Optimizer
alchaincyf/darwin-skill
Scores SKILL.md files on a nine-dimension rubric, then improves them in a keep-or-revert loop with independent judge agents, test prompts, git history and human checkpoints.
A skill your agent uses when retrieving the most relevant skills from a local or private skill library instead of relying on network-based skill discovery.
$ npx skills add MemTensor/skills-vote --skill skills-vote-local -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MemTensor/skills-vote skills-vote-local --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/MemTensor/skills-vote.git skills-src && mkdir -p .claude/skills && cp -r skills-src/integration/skills/skills-vote-local .claude/skills/skills-vote-local && rm -rf skills-srcUse ~/.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/
Install the "skills-vote-local" agent skill from https://github.com/MemTensor/skills-vote/tree/main/integration/skills/skills-vote-local into .claude/skills/skills-vote-local/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skills-vote-local", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/MemTensor/skills-vote/tree/main/integration/skills/skills-vote-localType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add MemTensor/skills-vote --skill skills-vote-local -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MemTensor/skills-vote skills-vote-local --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MemTensor/skills-vote.git skills-src && mkdir -p .agents/skills && cp -r skills-src/integration/skills/skills-vote-local .agents/skills/skills-vote-local && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skills-vote-local" agent skill from https://github.com/MemTensor/skills-vote/tree/main/integration/skills/skills-vote-local into .agents/skills/skills-vote-local/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skills-vote-local", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add MemTensor/skills-vote --skill skills-vote-local -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MemTensor/skills-vote skills-vote-local --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MemTensor/skills-vote.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/integration/skills/skills-vote-local .cursor/skills/skills-vote-local && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "skills-vote-local" agent skill from https://github.com/MemTensor/skills-vote/tree/main/integration/skills/skills-vote-local into .cursor/skills/skills-vote-local/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skills-vote-local", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/MemTensor/skills-vote.git --path integration/skills/skills-vote-local--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add MemTensor/skills-vote --skill skills-vote-local -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MemTensor/skills-vote skills-vote-local --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MemTensor/skills-vote.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/integration/skills/skills-vote-local .gemini/skills/skills-vote-local && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "skills-vote-local" agent skill from https://github.com/MemTensor/skills-vote/tree/main/integration/skills/skills-vote-local into .gemini/skills/skills-vote-local/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skills-vote-local", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install MemTensor/skills-vote skills-vote-localInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add MemTensor/skills-vote --skill skills-vote-local -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MemTensor/skills-vote.git skills-src && mkdir -p .github/skills && cp -r skills-src/integration/skills/skills-vote-local .github/skills/skills-vote-local && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "skills-vote-local" agent skill from https://github.com/MemTensor/skills-vote/tree/main/integration/skills/skills-vote-local into .github/skills/skills-vote-local/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skills-vote-local", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add MemTensor/skills-vote --skill skills-vote-local -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install MemTensor/skills-vote skills-vote-local --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MemTensor/skills-vote.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/integration/skills/skills-vote-local .opencode/skills/skills-vote-local && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "skills-vote-local" agent skill from https://github.com/MemTensor/skills-vote/tree/main/integration/skills/skills-vote-local into .opencode/skills/skills-vote-local/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skills-vote-local", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills-vote-localA skill your agent uses when retrieving the most relevant skills from a local or private skill library instead of relying on network-based skill discovery.
Skills Vote Local is an agent skill from MemTensor/skills-vote. Use when retrieving the most relevant skills from a local or private skill library instead of relying on network-based skill discovery.
Its SKILL.md is about 370 tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts (for example `docs/config-schema.md`, `docs/handoff.md` and `scripts/check_env.py`).
It sits in Agent Workflows, covering Skill management. The repository describes itself as: SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution. The licence is MIT.
Read from SKILL.md and the folder at commit 55ea783. It shows what the files ask for, not the result of running them.
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.
Ships 10 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Skills Vote Local loads about 372 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 176 words of instructions outside code blocks.
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.
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); the scripts in this folder are not scanned.
The full file from MemTensor/skills-vote at commit 55ea783, republished under its MIT licence (© MemTensor). 176 words, ~372 tokens.
.claude/skills/skills-vote-local/SKILL.md (or your agent's skills folder). This skill also uses 13 other files; get the full folder from GitHub.Read only this file first. Do not read scripts/, docs/, or any other files in this skill unless this file or a script output explicitly tells you to do so.
Use this skill when the current task needs skill discovery from a local or private skill library instead of a network service.
All paths mentioned in this file are relative to this skill root. cd to this root directory before running any command here.
Run:
uv run -qq scripts/route_prompt.py --role mainThen follow the rendered stdout exactly.
If routing.mode selects a subagent route, the user configuration explicitly requests subagent-based skill lookup. The main agent should use subagent delegation when the current host/tooling permits it.
Do not use fallback merely because the current user message did not repeat "use subagent".
If the current host, tool policy, runtime, or authorization model cannot create a subagent in this turn, run:
uv run -qq scripts/route_prompt.py --role main --fallbackThen follow the fallback stdout exactly.
If you are a subagent and you read this file directly, do not run this command with --role main. Run:
uv run -qq scripts/route_prompt.py --role subagentThen follow the rendered stdout exactly.
© MemTensor, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 13 other files (scripts) in integration/skills/skills-vote-local of MemTensor/skills-vote.
Open the folder on GitHubat commit 55ea783
Skills Vote Local 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Skills Vote Local this skillMemTensor/skills-vote | 304 | — | ~372 | Automated safety check: Pass | MIT | |
| Darwin Skill Optimizeralchaincyf/darwin-skill | 6.2k | 1 repos | ~4.7k | Automated safety check: Pass | MIT | |
| Using Agent Skillsaddyosmani/agent-skills | 103k | 4 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Ponytail Help CardDietrichGebert/ponytail | 159k | — | ~726 | Automated safety check: Pass | MIT | |
| Skill Creatorzhayujie/CowAgent | 47k | — | ~4.7k | Automated safety check: Notes | MIT | |
| Task Observerrebelytics/one-skill-to-rule-them-all | 3.2k | 1 repos | ~12k | Automated safety check: Pass | CC-BY-4.0 |
alchaincyf/darwin-skill
Scores SKILL.md files on a nine-dimension rubric, then improves them in a keep-or-revert loop with independent judge agents, test prompts, git history and human checkpoints.
addyosmani/agent-skills
Meta-skill for choosing which workflow skill fits the task at hand, plus always-on habits: surface assumptions, stop on confusion, push back, keep it simple and stay in scope.
DietrichGebert/ponytail
Shows a one-shot quick-reference card for the ponytail skills: intensity levels, the six commands, and how to turn it off, set a default mode and update.
zhayujie/CowAgent
Guides creating, installing and updating agent skills in a workspace: SKILL.md frontmatter, bundled scripts and references, with scripts to scaffold, validate and package.
rebelytics/one-skill-to-rule-them-all
Monitors task execution for skill improvement opportunities.
affaan-m/ECC
Audits your installed Claude skills and commands for quality, with a quick mode for recently changed skills and a full mode that evaluates all of them through subagents.
MemTensor/skills-vote
Find the most relevant external agent skills for the current task, then submit grounded feedback about which skills were actually used and useful in the same session.
Categories
A skill your agent uses when retrieving the most relevant skills from a local or private skill library instead of relying on network-based skill discovery. Skills Vote Local is an agent skill from MemTensor/skills-vote. Use when retrieving the most relevant skills from a local or private skill library instead of relying on network-based skill discovery.
Skills Vote Local fits situations like: retrieving the most relevant skills from a local; private skill library instead of relying on network-based skill discovery.
Run `npx skills add MemTensor/skills-vote --skill skills-vote-local -a claude-code`. Or copy the skill folder (integration/skills/skills-vote-local in MemTensor/skills-vote) into .claude/skills/skills-vote-local in your project. Claude Code loads it when a task matches its description.
Run `npx skills add MemTensor/skills-vote --skill skills-vote-local -a codex`. Or copy the skill folder (integration/skills/skills-vote-local in MemTensor/skills-vote) into .agents/skills/skills-vote-local in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add MemTensor/skills-vote --skill skills-vote-local -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skills-vote-local, .gemini/skills/skills-vote-local, .github/skills/skills-vote-local and .opencode/skills/skills-vote-local in your project.
Going by SKILL.md and its folder, Skills Vote Local needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Skills Vote Local is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 372 tokens (SKILL.md is roughly 1.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Skills Vote Local: Darwin Skill Optimizer (alchaincyf/darwin-skill, 6.2k stars), Using Agent Skills (addyosmani/agent-skills, 103k stars), Ponytail Help Card (DietrichGebert/ponytail, 159k stars) and Skill Creator (zhayujie/CowAgent, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
MemTensor (a GitHub organization) maintains it in MemTensor/skills-vote, which has 304 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 1, 2026.
Source: MemTensor/skills-vote on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.