run-hakari-benchmarks
Entry point for HAKARI-Bench evaluation work.
Skill by hakari-bench
Chalk Labs
Need help deploying run-hakari-benchmarks?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/hakari-bench-run-hakari-benchmarks
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: frontend, ml, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Nov 2, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/run-hakari-benchmarks
What's inside
- Skill name
run-hakari-benchmarks- Description
- Entry point for HAKARI-Bench evaluation work. Use when Codex is asked to benchmark or evaluate embedding models on NanoIR/Nano* datasets, choose prompt/truncate-dim/attention options, schedule GPU benchmark jobs, compare BM25, or refresh DuckDB and HTML leaderboard reports.
- License
- MIT
- Instructions
- 19 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# Run HAKARI-Bench Evaluations The canonical evaluation procedure lives in [`docs/evaluation_policy.md`](../../docs/evaluation_policy.md). Before running or scheduling evaluations, read that document and follow it as the source of truth for: - model research, - prompt and attention choices, - dense, sparse, late-interaction, reranker, and BM25 commands, - embedding variant policy, - coverage audits before reporting results, - DuckDB/HTML viewer refresh expectations. Do not maintain evaluation command details in this skill file. Update `docs/evaluation_policy.md` instead.
From hakari-bench/hakari-bench, MIT.
More from hakari-bench/hakari-bench
- 0.613score
typesafe-ai
hakari-bench
Build AI-powered software with TypeSafe: small units of AI intelligence you can use like programming primitives.
SkillBFreshness: B★ 34Claude Code +9 - 0.555score
research-dataset-citations
hakari-bench
Entry point for researching and applying paper, dataset, blog, and source citation metadata for NanoIR dataset YAML definitions.
SkillCFreshness: C★ 34Claude Code +9
Signals
- Stars
- 34
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Jun 9, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/hakari-bench/hakari-bench
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from hakari-bench
- 0.613score
typesafe-ai
hakari-bench
Build AI-powered software with TypeSafe: small units of AI intelligence you can use like programming primitives.
SkillBFreshness: B★ 34Claude Code +9 - 0.555score
research-dataset-citations
hakari-bench
Entry point for researching and applying paper, dataset, blog, and source citation metadata for NanoIR dataset YAML definitions.
SkillCFreshness: C★ 34Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get run-hakari-benchmarks running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
run-hakari-benchmarks skill. Agent Mart. https://agentmart.dev/skills/hakari-bench-run-hakari-benchmarks (last updated 2026-10-24)