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.
npx skills add Benknightdark/neo-skills --skill neo-harnessgit clone --depth 1 https://github.com/Benknightdark/neo-skillsWrote 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.
[](https://agentmods.dev/skills/benknightdark/neo-skills/neo-harness)<a href="https://agentmods.dev/skills/benknightdark/neo-skills/neo-harness"><img src="https://agentmods.dev/badge/skills/benknightdark/neo-skills/neo-harness/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/benknightdark/neo-skills/neo-harness"><img src="https://agentmods.dev/badge/skills/benknightdark/neo-skills/neo-harness.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00089 | $0.01098 |
| Opus 5 | $0.00044 | $0.00549 |
| Sonnet 5 | $0.00018 | $0.00220 |
| Haiku 4.5 | $0.00009 | $0.00110 |
Grade A, and why
neo-harness 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 12d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
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.mdMUST strictly adhere to the design specification ofassets/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:
# 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
- 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.
- Configuration files:
- Identify primary languages, test suites, and fast local feedback sensors.
What ships with it
5 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.
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.
- 12d ago First seen · 81 lines · 89 tokens per session scan A f6baab20f208
neo-harness is a skill published in the GitHub repository Benknightdark/neo-skills (7 stars, last pushed 6d ago), licensed MIT. It adds 89 tokens to every session and 1,098 once invoked, about $0.0004 per session on Opus 5. 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 2026-08-31.
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