No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by 001TMF · Claude Skill · ★ 76
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🔒 Is harness-forge safe to install? View the security audit →
Turn Claude Code into its own Meta-Harness — evolve the scaffolding around a fixed model, natively. -555) Harness Forge is a Claude Code skill that runs an end-to-end harness-optimization loop — propose → score → keep the Pareto-best → repeat — to improve the code around a fixed model: its memory, retrieval, context construction, summarization, prompt templates, and tool-selection logic. The model never changes; the scaffolding gets better. It is a native reimplementation of the method in Meta-Harness: End-to-End Optimization of Model Harnesses (Lee, Nair, Zhang, Lee, Khattab & Finn, 2026). The original reference repo ships 1,260 lines of Python ( + ) whose job is to drive a headless Claude: spawn a session, parse its output, track tool calls, log everything, loop. Inside Claude Code, that runtime already exists as first-class tools. So Harness Forge keeps only the irre
| Stars | 76 |
| Forks | 7 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 68.039501918338/100 |
| Last Updated | 2026-06-14 |
| Created | 2026-06-14 |
| Platforms | claude-code, python |
| Est. Tokens | ~12k |
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harness-forge is Turn Claude Code into its own Meta-Harness — a skill that evolves the scaffolding around a fixed model (memory, retrieval, context, prompts) via a native propose→score→Pareto loop. Native reimplementa. It is categorized as a Claude Skill with 76 GitHub stars.
harness-forge is primarily written in Python. It covers topics such as agent-skills, agents, claude-code.
You can find installation instructions and usage details in the harness-forge GitHub repository at github.com/001TMF/harness-forge. The project has 76 stars and 7 forks, indicating an active community.
harness-forge is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to harness-forge on Agent Skills Hub include prompt-architect, skill-conductor, claudepro-directory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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