Works with the AI tools you already use
Agent Harness Architect
Model quality is table stakes — the harness is where agents win or fail. This designs yours: it writes a structured, testable system prompt (role, tools, boundaries, method, output contract, failure handling) and maps every concern to the right layer — prompt, tool, guardrail, or evaluation — so the pieces reinforce each other instead of fighting.
$14
· or 70 creditsSecure checkout via Stripe
About this skill
The difference between an agent that works and one that flails is the harness — the scaffolding around the model: the system prompt, the tool definitions, context management, guardrails, and the feedback loop. Same model, wildly different results depending on the harness. And the most-neglected piece is the one at the center: the system prompt itself, which teams grow by accretion until it's a contradictory wall of text the model half-follows. Agent Harness and System Prompt Architect designs that core. Describe the agent's job, its tools, and its constraints, and it writes a structured system prompt — role and objective, capabilities with when-and-when-not-to-use-each-tool guidance, boundaries that separate hard nevers from confirm-before-acting, a method, a precise output contract, and defined failure and escalation behavior — written so every instruction is specific, testable, priority-ordered, and free of the contradictions that make models drop rules at random. Then it maps the whole harness: which concerns the prompt should own versus what belongs in tool definitions, context management, guardrails and hooks, or evaluations — because a hard limit stated in prose is a hope, not a control, and format belongs in the output contract, not buried in a paragraph. The download includes three reference files: a system-prompt structure guide, a harness component map, and a worked sample that turns a misbehaving refund agent into a structured harness. It designs the harness and writes the instructions from what you describe — it doesn't run the agent or test the prompt against a model, so pair it with an evaluation to confirm behavior. Works with Claude Code, Cursor, Codex CLI, Gemini CLI, and any SKILL.md agent.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Permissions
File Scopes
Reads the reference files bundled in the ZIP (references/**) and writes the generated system prompt and harness design to local files. It does not run a shell, open a browser, access the network, or read environment variables.
Creator
PubsProToolkit builds rigor-first skills for AI agents — they write your docs and content properly, then adversarially review them to catch what's wrong before it ships. The result: cleaner output and a hard quality gate in one toolkit. Built by a CMPP-certified, PhD medical writer who brings regulated-industry standards to developer docs, content, compliance, and research integrity.
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