neo-harness
Use this skill when you need to inspect a target project codebase and generate or improve a tailored, comprehensive AGENTS.md file (Harness Workflow…
Skill by Benknightdark
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/benknightdark-neo-harness
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.
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About
Use cases: productivity, 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. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/neo-harness
What's inside
- Skill name
neo-harness- Description
- Use this skill when you need to inspect a target project codebase and generate or improve a tailored, comprehensive AGENTS.md file (Harness Workflow Specification) that enforces strict AI agent harness rules, feedback sensors, execution SOP, orchestration topologies, and safety redlines. Supports non-interactive script execution via scripts/generate-agents-md.py. The generated AGENTS.md MUST NOT exceed 32 KiB in size.
- License
- MIT
- Metadata
- type: unified-harness-generator · version: 1.0.0
- Instructions
- 68 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (6)
- SKILL.md
- AGENTS.md.template · assets/
- execution-protocol.md · references/
- harness-assessment.md · references/
- orchestration-patterns.md · references/
- generate-agents-md.py · scripts/
SKILL.md (first lines)
# Unified Agent Harness Architect & Workflow Generator This skill integrates three core Agent engineering domains (**Harness Assessment**, **Execution Protocol**, and **Orchestration Architecture**) to analyze a target project and generate a tailored, strict `AGENTS.md` file (Harness Workflow Specification). ## Core Principle ```text Agent = Model (Reasoning & Generation) + Harness (Guides + Sensors + Gates + Topologies) ``` The generated `AGENTS.md` acts as the single source of truth governing all AI Agents operating in the project. > [!IMPORTANT] > **Template Compliance & Size Constraint**: > Any created or modified `AGENTS.md` MUST strictly adhere to the design specification of [`assets/AGENTS.md.template`](assets/AGENTS.md.template) (containing 4 mandatory sections: Project Overview, Commands Table, 9-stage Workflow Mermaid loop, and Forbidden Antipattern Redlines Table) and MUST NOT exceed 32 KiB (32,768 bytes). --- ## Quick Automation (Non-Interactive Generator Script) To quickly analyze a repository and generate or preview an `AGENTS.md` file, run the non-interactive script: ```bash # Preview generated content (dry-run) python3 skills/neo-harness/scripts/generate-agents-md.py --target-dir /path/to/repo --dry-run # Generate AGENTS.md directly in target repository python3 skills/neo-harness/scripts/generate-agents-md.py --target-dir /path/to/repo --force # Validate existing AGENTS.md against assets/AGENTS.md.template design specification python3 skills/neo-harness/scripts/generate-agents-md.py --target-dir /path/to/repo --validate ``` --- ## Workflow SOP ### Step 1 — Perceive Target Repository 1. Inspect project root and structure manually or via `scripts/generate-agents-md.py`: - Configuration files: `package.json`, `pyproject.toml`, `Cargo.toml`, `go.mod`, `Makefile`, etc. - Build, lint, and test toolchains. - Existing guidelines: `AGENTS.md`, `CLAUDE.md`, `GEMINI.md`, README. - CI workflows: `.github/workflows/`, GitLab CI, etc. 2. Identify primary languages, test suites, and fast local feedback sensors. ### Step 2 — Reason & Synthesize Harness Rules Load detailed reference knowledge as needed: * **Harness Assessment & Sensors**: Read [references/harness-assessment.md](references/harness-assessment.md) to rate harnessability and define computational vs. inferential sensors. * **Execution Protocol & SOP**: Read [references/execution-protocol.md](references/execution-protocol.md) to enforce the 5 Harness Laws, dual-loop SOP, zero-fake pass, and antipattern rules. * **Orchestration Topologies**: Read [references/orchestration-patterns.md](references/orchestration-patterns.md) to select appropriate routing, chaining, or human-in-the-loop (HITL) gates. ### Step 3 — Generate & Format `AGENTS.md` Use `scripts/generate-agents-md.py` with [assets/AGENTS.md.template](assets/AGENTS.md.template) as the strict baseline template. All created or modified `AGENTS.md` files MUST strictly contain the following 4 structural sections in order: 1. **`## 1. Project Overview`**: Primary tech stack, modular architecture, and coding conventions. 2. **`## 2. Commands`**: Standard markdown table (`Command Type`, `Exact Command Line`, `Purpose / Scope`) listing test, typecheck, lint, build, or syntax check commands. 3. **`## 3. Workflow`**: The mandatory 9-stage closed loop Mermaid diagram (`graph TD` from Step1 to Step9) followed by the 9 numbered step definitions. 4. **`## 4. Forbidden Antipattern Redlines`**: Standard markdown table (`Forbidden Action`, `Why It Is Prohibited`, `Required Behavior`) specifying non-negotiable redlines. ### Step 4 — Verify Template Compliance & Quality Gate 1. Validate structural compliance against `assets/AGENTS.md.template`: - Run `python3 skills/neo-harness/scripts/generate-agents-md.py --target-dir /path/to/repo --validate`. 2. Check the file size of the generated `AGENTS.md`: - Must be `<= 32,768 bytes`. - If over 32 KiB, prune redundant descriptions or move extended reference docs to separate files under `.agents/` or `docs/`. 3. Validate syntax and markdown formatting.
From Benknightdark/neo-skills, MIT.
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Signals
- Stars
- 7
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Aug 10, 2026 (2 months ago)
- Last release
- Sep 6, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0.0
- License
- MIT
- Repository
- github.com/Benknightdark/neo-skills
- Website
- neo-blog-iota.vercel.app/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
neo-harness skill. Agent Mart. https://agentmart.dev/skills/benknightdark-neo-harness (last updated 2026-10-24)