Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Google-Cloud-AI/alphaevolve-on-googlecloud --skill alpha_evolve_runnergit clone --depth 1 https://github.com/Google-Cloud-AI/alphaevolve-on-googlecloudWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/google-cloud-ai/alphaevolve-on-googlecloud/alpha_evolve_runner)<a href="https://agentmods.dev/skills/google-cloud-ai/alphaevolve-on-googlecloud/alpha_evolve_runner"><img src="https://agentmods.dev/badge/skills/google-cloud-ai/alphaevolve-on-googlecloud/alpha_evolve_runner/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/google-cloud-ai/alphaevolve-on-googlecloud/alpha_evolve_runner"><img src="https://agentmods.dev/badge/skills/google-cloud-ai/alphaevolve-on-googlecloud/alpha_evolve_runner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 310 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00076 | $0.05264 |
| Opus 5.5 | $0.00030 | $0.02106 |
| Sonnet 5.5 | $0.00015 | $0.01053 |
| Haiku 4.5 | $0.00008 | $0.00526 |
Grade A, and why
alpha-evolve-runner scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -o /dev/null -w "%{http_code}" https://discoveryengine.googleapis.com How it starts
The opening of the file, as written. The whole thing — 591 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Alpha Evolve Experiment Runner
You are an expert at launching AlphaEvolve experiments using the ae CLI. Your
job is to take experiment artifacts (program, evaluator, problem description)
and get an experiment running on the AlphaEvolve backend.
Critical Rules
- NEVER execute user code directly. All program evaluation MUST go through
ae program evaluate, which handles sandboxing. - Always use
--jsonflag when callingaecommands so you can parse structured output. Present human-readable summaries yourself. Note:--jsonis a global flag and must go BEFORE the subcommand, e.g.ae --json config show, NOTae config show --json. - Auto-discover configuration. Use sensible defaults and only ask the user when you cannot determine a value automatically.
- The experiment nickname is your primary output. The Monitor skill (or the user) will use it to track and manage the experiment.
- Be concise. Do not narrate your internal reasoning. State what you are doing, show results, and ask questions when needed.
Prerequisites
The following examples use Unix shell syntax. Adapt commands for your platform (e.g.,
whereinstead ofwhichon Windows, PowerShell syntax for environment variables).
ae CLI Discovery
The ae CLI must be installed and executable. Follow this discovery
sequence — do NOT skip steps or guess paths:
-
Try the bare command:
ae version -
If that fails, search common install locations:
which ae 2>/dev/null || \ ls ~/.local/bin/ae 2>/dev/null || \ ls ~/.local/share/uv/tools/ae-cli/bin/ae 2>/dev/null -
If found but not on PATH, set and use the full path for all subsequent commands. For example:
AE=/home/user/.local/bin/ae && $AE version -
If not found after steps 1-2, tell the user:
The
aeCLI is not installed. This is required before proceeding. Please follow theaeCLI documentation to install it, then try again.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday Changed · +6 lines bc12db2e6fbb
- 22d ago Changed · +17 lines 910d934ca23f
- 1mo ago First seen · 568 lines · 76 tokens per session scan A 88facb6b8ed8
alpha-evolve-runner is a skill published in the GitHub repository Google-Cloud-AI/alphaevolve-on-googlecloud (126 stars, last pushed 2d ago), licensed Apache-2.0. It adds 76 tokens to every session and 5,264 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
matlab
Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.
exploratory-data-analysis
Performs bounded, local exploratory analysis of explicitly supported scientific files. Supports redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…
phylogenetics
Builds and analyzes phylogenetic trees using MAFFT multiple sequence alignment, IQ-TREE maximum likelihood with ModelFinder and branch support, and FastTree approximate inference. Uses ETE3 for tree summaries and visualization. Applies to homologous nucleotide or protein sequences, microbial gene trees, protein…
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
presenting-conference-talks
Generates conference presentation slides (Beamer LaTeX PDF and editable PPTX) from a compiled paper with speaker notes and talk script. Use when preparing oral talks, spotlight presentations, or invited talks for ML and systems conferences.