benchmarks-and-evaluation-starter

benchmarks-and-evaluation-starter is a skill for Claude Code, Codex from ma-compbio-lab/SkillFoundry. It costs 0 tokens per session (155 once invoked), scanned A, original, Apache-2.0.

A starting point for evaluating work in a research area when the repository has reference materials but no complete working tool yet. It summarizes those materials and creates a machine-readable plan for developing the workflow.

In plain words
What is it for?
Use it to summarize local references, create a starter plan, and identify the steps needed to turn the materials into a concrete evaluation workflow.
Why use it?
It gives an unfinished evaluation task a documented local starting point instead of leaving the agent without an executable next step.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to summarize local references, create a starter plan, and identify the steps needed to turn the materials into a concrete evaluation workflow.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ma-compbio-lab/skillfoundry/benchmarks-and-evaluation-starter
Install

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.

Any agent
npx skills add ma-compbio-lab/SkillFoundry --skill benchmarks-and-evaluation-starter
Clone the repo
git clone --depth 1 https://github.com/ma-compbio-lab/SkillFoundry

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for benchmarks-and-evaluation-starter

README.md
[![agentmods](https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/benchmarks-and-evaluation-starter.svg)](https://agentmods.dev/skills/ma-compbio-lab/skillfoundry/benchmarks-and-evaluation-starter)
Your own site
<a href="https://agentmods.dev/skills/ma-compbio-lab/skillfoundry/benchmarks-and-evaluation-starter"><img src="https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/benchmarks-and-evaluation-starter.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 155 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00155
Opus 5 $0.00000 $0.00077
Sonnet 5 $0.00000 $0.00031
Haiku 4.5 $0.00000 $0.00015

Measured 8d ago against content hash 42acf21c0f94, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

benchmarks-and-evaluation-starter scanned grade A with 0 findings 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 8d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/run_frontier_starter.py, tests/test_benchmarks_and_evaluation_starter.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/drug-discovery-and-cheminformatics/benchmarks-and-evaluation-starter/SKILL.md · 17 lines

What it actually says

Benchmarks and evaluation Starter

Use this starter when a task lands in the Benchmarks and evaluation frontier leaf and the repository has curated resources but no dedicated runtime implementation yet.

What this starter does

  • Summarizes the local resource anchors for the leaf.
  • Emits a machine-readable starter plan with promotion steps.
  • Gives the agent a stable local entry point before a full runtime skill exists.

How to use it

Run python3 skills/drug-discovery-and-cheminformatics/benchmarks-and-evaluation-starter/scripts/run_frontier_starter.py --out scratch/frontier/benchmarks-and-evaluation-starter.json.

Then inspect refs.md and examples/resource_context.json to promote the starter into a concrete executable workflow.

Files

What ships with it

7 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.

Changes

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.

  1. 8d ago First seen · 17 lines · 0 tokens per session scan A 42acf21c0f94

Subscribe to this mod's changes

benchmarks-and-evaluation-starter is a skill published in the GitHub repository ma-compbio-lab/SkillFoundry (38 stars, last pushed 4mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 155 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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