Audit Ur Harness — Security skill for Claude Code
An Agent Skill that audits a project's AI harness — guardrails, memory, verification, observability, tool design — and produces an evidence-cited maturity report, with human-gated custom layers and co.
How to install Audit Ur Harness
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open Singhson91/Audit_Ur_Harness and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Audit Ur Harness does
An Agent Skill that audits a project's AI harness — guardrails, memory, verification, observability, tool design — and produces an evidence-cited maturity report, with human-gated custom layers and copy-pasteable suggestions you always apply yourself. Portable across Claude Code, Cowork, Codex, Cursor, and any tool that loads Agent Skills.
Alternatives in Security
- Free Code — The free build of Claude Code 8.1k ★
- Promptmap — Security scanner for custom LLM apps 1.2k ★
- Tech Debt Skill — Claude Code skill that produces a thorough, file-cited tech debt audit of an entire codebase 590 ★
README
Audit ur Harness
An [Agent Skill](https://www.anthropic.com/engineering/equipping-agents-for-the-real-world-with-agent-skills) that audits a project's AI **harness** — the guardrails, memory, verification, observability, and tool-design scaffolding around a model, not the model itself — and produces an evidence-cited maturity report. It never edits your project and never applies its own suggestions; it only ever reads files and writes a report.
What it does
Point it at a project folder and ask it to audit the harness. It reads through the project, scores each of 8 fixed layers (State & Memory, Execution Environment, Control & Enforcement, Context Management, Reasoning & Verification, Tool Design, Long-Horizon Execution, Observability & Learning) on a 0–3 scale, and writes a self-contained interactive HTML report — every score backed by a citation to the actual file and line it came from. "No evidence found" is a valid, complete answer for any layer; nothing is invented.
It can also notice a real, evidenced pattern specific to your project that doesn't fit any of the 8 fixed layers, score it the same way, and suggest — never apply — adding it as a permanent custom layer for future audits.
Why
Most "AI harness" advice is generic. This turns it into a repeatable, grounded audit: concrete citations instead of vibes, absence treated as a real finding instead of being glossed over, and every improvement suggestion left as a copy-pasteable draft for a human to review and apply through their own agent — never auto-applied, under any setting.
Install
This is a standard [Agent Skill](https://www.anthropic.com/engineering/equipping-agents-for-the-real-world-with-agent-skills) — a `SKILL.md` file plus a `references/` folder. It works in any tool that loads Agent Skills (Claude Code, Cowork, Codex, Cursor, and others).
- Download this repository (or the latest release).
- Copy the
Audit_ur_Harness/folder into wherever your tool looks fo
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