Inspect and audit GEPA genomes via the @metaharness/darwin/gepa library entry (darwin 0.8.0) — load/validate a genome (default is the shipped cand-6 promotion), render the system prompt a genome…
$ npx skills add ruvnet/ruflo --skill harness-gepa -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ruvnet/ruflo harness-gepa --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/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ruflo-metaharness/skills/harness-gepa .claude/skills/harness-gepa && 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 "harness-gepa" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-metaharness/skills/harness-gepa into .claude/skills/harness-gepa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harness-gepa", 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/ruvnet/ruflo/tree/main/plugins/ruflo-metaharness/skills/harness-gepaType 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 ruvnet/ruflo --skill harness-gepa -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ruvnet/ruflo harness-gepa --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/ruflo-metaharness/skills/harness-gepa .agents/skills/harness-gepa && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "harness-gepa" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-metaharness/skills/harness-gepa into .agents/skills/harness-gepa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harness-gepa", 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 ruvnet/ruflo --skill harness-gepa -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ruvnet/ruflo harness-gepa --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/ruflo-metaharness/skills/harness-gepa .cursor/skills/harness-gepa && 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 "harness-gepa" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-metaharness/skills/harness-gepa into .cursor/skills/harness-gepa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harness-gepa", 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/ruvnet/ruflo.git --path plugins/ruflo-metaharness/skills/harness-gepa--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 ruvnet/ruflo --skill harness-gepa -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ruvnet/ruflo harness-gepa --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/ruflo-metaharness/skills/harness-gepa .gemini/skills/harness-gepa && 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 "harness-gepa" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-metaharness/skills/harness-gepa into .gemini/skills/harness-gepa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harness-gepa", 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 ruvnet/ruflo harness-gepaInstalls 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 ruvnet/ruflo --skill harness-gepa -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/ruflo-metaharness/skills/harness-gepa .github/skills/harness-gepa && 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 "harness-gepa" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-metaharness/skills/harness-gepa into .github/skills/harness-gepa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harness-gepa", 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 ruvnet/ruflo --skill harness-gepa -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ruvnet/ruflo harness-gepa --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/ruflo-metaharness/skills/harness-gepa .opencode/skills/harness-gepa && 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 "harness-gepa" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-metaharness/skills/harness-gepa into .opencode/skills/harness-gepa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harness-gepa", 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.
harness-gepaInspect and audit GEPA genomes via the @metaharness/darwin/gepa library entry (darwin 0.8.0) — load/validate a genome (default is the shipped cand-6 promotion), render the system prompt a genome…
Harness Gepa is an agent skill from ruvnet/ruflo. Inspect and audit GEPA genomes via the @metaharness/darwin/gepa library entry (darwin 0.8.0) — load/validate a genome (default is the shipped cand-6 promotion), render the system prompt a genome compiles to, or classify failure modes in a run transcript. The gepaOptimize loop itself is library-only (bring your own evaluator) and not surfaced here — use harness-evolve for sandbox-scored evolution. Degrades gracefully when @metaharness/darwin is absent.
Its SKILL.md is about 830 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 AI & LLM Engineering, covering Bioinformatics and Prompt engineering. The repository describes itself as: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory…. The licence is MIT.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 6c04654. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
nodejqnpmFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npm, 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.
Harness Gepa loads about 826 tokens when it runs. Until then it costs about 119 tokens; SKILL.md has 278 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 noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: BashAutomated 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.
The full file from ruvnet/ruflo at commit 6c04654, republished under its MIT licence (© ruvnet). 278 words, ~826 tokens.
.claude/skills/harness-gepa/SKILL.md (or your agent's skills folder).Surfaces the GEPA (genetic-evolution prompt-adaptation) library exports
from @metaharness/darwin/gepa. Unlike the other skills in this plugin
there is no CLI binary behind this — the script dynamic-imports the library
(local resolution first, versioned cache install as fallback) and calls the
subprocess-safe subset.
--op render shows the actual system
prompt a genome compiles to — read THAT, not the raw JSON, before
wiring a genome into a harness.--op genome loads + validates the shipped
cand-6 genome (first holdout-confirmed cheap-tier promotion; provenance
ships in the package) or any genome file you point at.--op validate --alert-on-invalid exits 1
on structural errors.--op analyze --transcript run.json classifies
failure modes (GEPA's failure-class taxonomy) from a transcript array.gepaOptimize — the optimization loop takes an in-process
evaluate(candidate) callback ("bring your own evaluator") that cannot
cross a subprocess boundary. Two supported paths instead:
import { gepaOptimize, loadCand6Genome } from '@metaharness/darwin/gepa'harness-evolve (darwin CLI evolve),
which pairs GEPA with its own sandbox evaluators.Implementation: scripts/gepa.mjs.
import('@metaharness/darwin/gepa'); on MODULE_NOT_FOUND fall back to a
one-time npm install --prefix ~/.ruflo/darwin-cache-<pin> and import
the cached dist/gepa/index.js (versioned dir → pin bumps invalidate).--op:genome → loadGenome(fs, path) or loadCand6Genome() + validateGenomevalidate → validateGenome(rawJson) (raw parse so broken files reach
the validator instead of throwing in the loader)render → buildSystemFromGenome(genome, ext?, glob?)analyze → analyzeTranscript(entries)--alert-on-invalid, 2 on bad input).node scripts/gepa.mjs --op genome # cand-6 + validation
node scripts/gepa.mjs --op render | jq -r .system # what does cand-6 SAY?
node scripts/gepa.mjs --op validate --path my-genome.json --alert-on-invalid
node scripts/gepa.mjs --op analyze --transcript run.json0 — op completed (or degraded — darwin not installable)1 — --alert-on-invalid and validation found errors2 — config error (unknown op, missing/broken input file)© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in plugins/ruflo-metaharness/skills/harness-gepa of ruvnet/ruflo.
Open the folder on GitHubat commit 6c04654
Harness Gepa 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 |
|---|---|---|---|---|---|---|
| Harness Gepa this skillruvnet/ruflo | 74k | — | ~826 | Automated safety check: Notes | MIT | |
| Hcls Build Agentaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | — | ~885 | Automated safety check: Pass | MIT-0 | |
| Prompt Improverseverity1/claude-code-prompt-improver | 1.9k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Alphagenome Predictionsgenomicsxai/alphagenome-pytorch | 162 | — | ~868 | Automated safety check: Pass | Apache-2.0 | |
| Scrna EmbeddingClawBio/ClawBio | 1.2k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| Bio Atac Seq Deep Learning AtacGPTomics/bioSkills | 1.2k | 2 repos | ~5k | Automated safety check: Pass | MIT |
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
A skill your agent uses when a developer wants to build a new healthcare or life sciences agent, structure tools and system prompts for an HCLS workflow, or create a Strands agent with…
severity1/claude-code-prompt-improver
This skill enriches vague prompts with targeted research and clarification before execution.
genomicsxai/alphagenome-pytorch
Run AlphaGenome-PyTorch to get genomic track predictions — via the agt predict CLI (single locus, BED regions, whole chromosomes, raw FASTA sequences, or per-gene count tables/AnnData), variant…
ClawBio/ClawBio
Local scVI/scANVI-based single-cell latent embedding and batch-aware integration from raw-count .h5ad or 10x Matrix Market input, with stable integrated AnnData export for downstream latent analysis.
GPTomics/bioSkills
Sequence-based deep learning for ATAC-seq using chromBPNet, BPNet, scBasset, or Enformer.
GPTomics/bioSkills
Predict RBP binding from RNA sequence using deep learning models (RBPNet sequence-to-signal, RNAProt RNN, GraphProt2 GCN with structure, DeepCLIP, DeepRiPe multi-modal CNN) for variant-effect…
ruvnet/ruflo
Stores, searches, and retrieves successful patterns with HNSW-indexed semantic search so agents can reuse past solutions instead of relearning them.
ruvnet/ruflo
Sets up and drives Ruflo, an npm-installed orchestration layer for multi-agent swarms, persistent memory, routing, hooks and its MCP tool catalog.
ruvnet/ruflo
Runs claude-flow CLI security scans for input validation, path traversal, SQL injection, XSS, hardcoded secrets and known CVEs, and writes an audit report.
ruvnet/ruflo
Applies the SPARC method (specification, pseudocode, architecture, refinement, completion) with 17 specialized modes and multi-agent orchestration, from research to deployment.
ruvnet/ruflo
Coordinates a hierarchical swarm of specialized agents through the claude-flow CLI for work that spans several files or modules at once.
ruvnet/ruflo
Finds models on the Hugging Face router that lack descriptions in chat-ui's prod.yaml and dev.yaml, researches each one and adds short descriptions.
Categories
Inspect and audit GEPA genomes via the @metaharness/darwin/gepa library entry (darwin 0.8.0) — load/validate a genome (default is the shipped cand-6 promotion), render the system prompt a genome…. Harness Gepa is an agent skill from ruvnet/ruflo.0) — load/validate a genome (default is the shipped cand-6 promotion), render the system prompt a genome compiles to, or classify failure modes in a run transcript.
Harness Gepa fits situations like: tasks that involve Bioinformatics; tasks that involve Prompt engineering.
Run `npx skills add ruvnet/ruflo --skill harness-gepa -a claude-code`. Or copy the skill folder (plugins/ruflo-metaharness/skills/harness-gepa in ruvnet/ruflo) into .claude/skills/harness-gepa in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ruvnet/ruflo --skill harness-gepa -a codex`. Or copy the skill folder (plugins/ruflo-metaharness/skills/harness-gepa in ruvnet/ruflo) into .agents/skills/harness-gepa 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 ruvnet/ruflo --skill harness-gepa -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/harness-gepa, .gemini/skills/harness-gepa, .github/skills/harness-gepa and .opencode/skills/harness-gepa in your project.
Going by SKILL.md and its folder, Harness Gepa needs the command-line tools its instructions call (node, jq and npm). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Bash.
SKILL.md contains no URLs. Its commands use npm, 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 notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Harness Gepa is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 826 tokens (SKILL.md is roughly 3.3k 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 Harness Gepa: Hcls Build Agent (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Prompt Improver (severity1/claude-code-prompt-improver, 1.9k stars), Alphagenome Predictions (genomicsxai/alphagenome-pytorch, 162 stars) and Scrna Embedding (ClawBio/ClawBio, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,222 GitHub stars. The repository holds 265 skills in this directory. The repository was last updated on October 10, 2026.
Source: ruvnet/ruflo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
