Agent skill

Frontierharness Eval

by frontier-harness-eval in frontier-harness-eval/eval

Benchmark a third-party coding-agent harness against FrontierHarness Eval using Runta runtimes.

No licenceAuto-check passedAI & LLM Engineering

Install Frontierharness Eval

skills CLI
$ npx skills add frontier-harness-eval/eval --skill frontierharness-eval -a claude-code

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

GitHub CLI
$ gh skill install frontier-harness-eval/eval frontierharness-eval --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/frontier-harness-eval/eval.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/frontierharness-eval .claude/skills/frontierharness-eval && 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
frontierharness-eval
GitHub stars
301
Token cost
~8k tokens
SKILL.md length
3,962 words
Files
22 (incl. scripts)
Skills in repo
1
Repo updated
First seen
Licence
None found

At a glance

Benchmark a third-party coding-agent harness against FrontierHarness Eval using Runta runtimes.

  • Works in 3 steps: Run trials and save trajectories → Generate the diagram → Build and share the report
  • Comparing a coding agent harness
  • SKILL.md covers Workspace setup, Prerequisites, Runtime quota and concurrency and Workflow, plus 3 more sections
  • Runs Shell, Python and JavaScript scripts from its folder; calls node, git and npx; reaches runta.com and github.com; needs FIREWORKS_API_KEY and MOONSHOT_API_KEY

What it does

Frontierharness Eval is an agent skill from frontier-harness-eval/eval. Benchmark a third-party coding-agent harness against FrontierHarness Eval using Runta runtimes. Provisions a clean runtime bound to the GitHub repo under evaluation, installs the Harbor and Pier stacks needed for Terminal-Bench and DeepSWE tasks, freezes a golden checkpoint, runs tasks from identical fresh restores while saving trajectories as evidence, generates a comparison diagram, and builds a shareable report. Use when evaluating, benchmarking, scoring, or comparing a coding agent harness, or when the user…

Its SKILL.md is about 8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 22 other files, including scripts (for example `PROMPT.md`, `isolated-evaluation-repairs.md` and `reference.md`).

It sits in AI & LLM Engineering, covering LLM evaluation. It works with GitHub and DeepSeek. The repository describes itself as: Public results and task definitions for FrontierHarness Eval.

When your agent uses it

  • Comparing a coding agent harness
  • The user mentions FrontierHarness
  • Golden checkpoints
  • Harness trajectories

Example prompts

  • “/frontierharness-eval”

Requirements

  • Python 3
  • Node.js
  • A Bash shell
  • A credential in FIREWORKS_API_KEY
  • A credential in MOONSHOT_API_KEY

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Run trials and save trajectories
  2. Generate the diagram
  3. Build and share the report

What it can do on your machine

Read from SKILL.md and the folder at commit e837a70. 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

    Ships 16 files in scripts/ (Shell, Python and JavaScript, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • node
    • git
    • npx
    • bash
    • jq
    • gh

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • runta.com
    • github.com

    Also links to:

    • frontierharness.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • FIREWORKS_API_KEY
    • MOONSHOT_API_KEY
    • OPENROUTER_API_KEY
    • TOGETHER_API_KEY
    • RUNTA_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Frontierharness Eval loads about 8k tokens when it runs. Until then it costs about 162 tokens; SKILL.md has 3,962 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~162
When it runs · the whole SKILL.md, loaded when a task matches
~8k

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); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 3,962 words (~8,006 tokens).

“Score a harness that is not in the published FrontierHarness v1.0 set, on the same tasks, runtime, and cost accounting, so the result can be placed next to the twelve baseline configurations in results/eval-data.json.”

— opening of SKILL.md by frontier-harness-eval
name
frontierharness-eval

Read the full SKILL.md on GitHub

Files

SKILL.md and 21 other files (scripts) in skills/frontierharness-eval of frontier-harness-eval/eval.

  • SKILL.md
  • PROMPT.md
  • isolated-evaluation-repairs.md
  • reference.md
  • scripts/build-report.mjs
  • scripts/calculate-cost.py
  • scripts/cost_accounting.py
  • scripts/dependency_commands.py
  • scripts/generate-chart.mjs
  • scripts/normalize-results.mjs
  • scripts/pricing.json
  • scripts/providers.sh
  • scripts/provision-golden-checkpoint.sh
  • scripts/recover-relay-observed-usage.py
  • scripts/restore-system-runc.sh
  • scripts/run-trials-shared-runtime.sh
  • scripts/run-trials.sh
  • scripts/transport.sh
  • scripts/trial-worker.sh
  • scripts/usage_details.py
  • … and 2 more

Open the folder on GitHubat commit e837a70

Compare with similar skills

Frontierharness Eval 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.

Frontierharness Eval compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Frontierharness Eval this skillfrontier-harness-eval/eval301—~8kAutomated safety check: PassNone
Evals Contextzgsm-ai/costrict4.4k1 repos~1.9kAutomated safety check: PassApache-2.0
Octocode Benchmark Runnerbgauryy/octocode949—~2.1kAutomated safety check: PassMIT
AI Project Copilotsun461941-hub/ai-project-copilot100—~3kAutomated safety check: PassMIT
SWE Benchmark Task Adderory/lumen307—~497Automated safety check: PassCustom licence
Managed Deep Agentslangchain-ai/langchain-skills1.3k—~8.7kAutomated safety check: NotesMIT

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Works with

Questions about Frontierharness Eval

What does Frontierharness Eval do?

Benchmark a third-party coding-agent harness against FrontierHarness Eval using Runta runtimes. Frontierharness Eval is an agent skill from frontier-harness-eval/eval. Benchmark a third-party coding-agent harness against FrontierHarness Eval using Runta runtimes.

When should I use Frontierharness Eval?

Frontierharness Eval fits situations like: comparing a coding agent harness; the user mentions FrontierHarness; golden checkpoints; harness trajectories.

How do I install Frontierharness Eval in Claude Code?

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

How do I install Frontierharness Eval in Codex?

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

Can I use Frontierharness Eval 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 frontier-harness-eval/eval --skill frontierharness-eval -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/frontierharness-eval, .gemini/skills/frontierharness-eval, .github/skills/frontierharness-eval and .opencode/skills/frontierharness-eval in your project.

What does Frontierharness Eval need to run?

Going by SKILL.md and its folder, Frontierharness Eval needs a shell, Python and JavaScript for the scripts in its folder, the command-line tools its instructions call (node, git, npx, bash, jq and gh) and credentials named FIREWORKS_API_KEY, MOONSHOT_API_KEY, OPENROUTER_API_KEY and TOGETHER_API_KEY. Our summary lists: Python 3; Node.js; A Bash shell; A credential in FIREWORKS_API_KEY; A credential in MOONSHOT_API_KEY.

Does Frontierharness Eval access the network?

SKILL.md names 3 domains. In commands or code: runta.com and github.com; the agent is likely to contact these when it follows the instructions. As links in the text: frontierharness.org. This is read from the text; nothing was executed.

Is Frontierharness Eval 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Frontierharness Eval use?

No licence was found for Frontierharness Eval or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Frontierharness Eval use?

About 8k tokens (SKILL.md is roughly 32k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Frontierharness Eval?

Skills that share tags, products or a category with Frontierharness Eval: Evals Context (zgsm-ai/costrict, 4.4k stars), Octocode Benchmark Runner (bgauryy/octocode, 949 stars), AI Project Copilot (sun461941-hub/ai-project-copilot, 100 stars) and SWE Benchmark Task Adder (ory/lumen, 307 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Frontierharness Eval?

frontier-harness-eval (a GitHub organization) maintains it in frontier-harness-eval/eval, which has 301 GitHub stars. The repository was last updated on September 8, 2026.

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