Claude Code Harness
SkillDocs & knowledgeDesign a real harness for an agentic system using Claude Code-inspired patterns. Use when the user needs a harness blueprint, request assembly design, execution loop, tool runtime, memory layering, permission model, transcript or recovery strategy, or wants to turn a vague agent idea into a harness-level architecture. Do not use for generic product brainstorming, simple prompt writing, or isolated code generation.
Use Claude Code Harness in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Claude Code Harness and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Claude Code Harness skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/dadwadw233/claude-code-harness/skills/claude-code-harness/SKILL.md and read by Ahel’s review.
Design the harness, not just the agent prompt.
This skill helps turn an agent idea into a harness blueprint that specifies:
- how a turn is assembled
- how the execution loop runs
- how tools are governed
- how memory survives boundaries
- how permissions and recovery are enforced
- how the system stays understandable to humans
What to optimize for
Prefer harnesses that are:
- explicit rather than magical
- layered rather than blended
- recoverable rather than one-shot
- bounded rather than overpowered
- product-useful rather than architecturally theatrical
Output contract
When this skill is active, default to a harness blueprint with these sections:
- System goal and delegation boundary
- Harness layers
- Request assembly design
- Turn loop design
- Tool and capability runtime
- Context and memory model
- Permissions and safety gates
- Transcript and recovery model
- Extension surfaces
- Implementation sequence
If the user is reviewing an existing design, lead with structural weaknesses and missing control planes.
Workflow
1. Clarify whether the user needs a harness at all
Start by answering:
- what job is being delegated
- what state must survive across steps or turns
- whether the system needs tools, memory, recovery, or background work
- what would break if the model were only called once
If the workflow does not need a harness, say so directly.
2. Define the harness boundary
Separate:
- the model
- the harness runtime
- external tools and systems
- durable storage
- human operators
The harness is the layer that governs the model, not the model itself.
For a deeper framing, read references/harness-principles.md.
3. Design request assembly before discussing autonomy
Specify:
- what instruction sources exist
- which sources are durable versus per-turn
- how system context and user context enter the request
- how tool affordances are exposed
- what transcript normalization or message repair is required before model calls
If request assembly is vague, the harness is still vague.
4. Design the turn loop
Make the loop explicit:
- gather context
- decide or plan
- call tools or act
- verify progress
- continue, compact, escalate, or stop
Prefer a small, legible loop over a large “AI orchestration” story.
5. Treat tools as a runtime plane
For each tool or action surface, define:
- purpose
- invocation boundary
- inputs and outputs
- permission gates
- success criteria
- rollback or recovery story
Tools are not just capabilities. They are governance boundaries.
6. Treat memory as multiple layers
Separate at least these concerns when relevant:
- active turn context
- retrieved grounding
- working memory
- durable user or project memory
- summaries and compaction artifacts
Do not collapse memory into one implicit blob.
For reusable patterns, read references/harness-pattern-language.md.
7. Design safety and control into the runtime
Specify:
- approval points
- permission modes
- destructive action gates
- visibility into pending actions
- interruption and override behavior
The harness should make power legible before it makes power scalable.
8. Design persistence and recovery
Make explicit:
- what gets logged or transcripted
- what survives a new turn
- what survives a new session
- how partial work is resumed
- how compacted history preserves semantic continuity
If the system cannot recover from partial work, it is brittle.
9. End with implementation order
Translate the harness design into a build order:
- what must exist first
- what can be layered later
- what should be validated early
- what failure modes must be tested before expansion
Use references/harness-blueprint-template.md when a formal blueprint is required.
Anti-patterns
Push back on these designs:
- prompt-only agents described as full systems
- lots of tools but no runtime governance
- memory with no boundaries or rewrite policy
- hidden background work with no transcript or user visibility
- retry loops with no stop conditions
- permissions handled as an afterthought
- extension systems added before the core loop is coherent
Style guidance
- Be concrete about boundaries and data flow.
- Name missing runtime planes explicitly.
- Prefer fewer but stronger abstractions.
- If the design is performative rather than useful, say so.
References
- Core framing:
references/harness-principles.md - Pattern language:
references/harness-pattern-language.md - Blueprint format:
references/harness-blueprint-template.md - Claude-derived lessons:
references/claude-code-derived-insights.md
Load only the reference files you need and keep the final answer operational.
Signals
- GitHub stars
- 1k
- Forks
- 316
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
claude-code-harness- Source
- github.com/hashgraph-online/awesome-codex-plugins
github.com/hashgraph-online/awesome-codex-plugins
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