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Skills · SkillData & AIAgents & MCPReviewed

harness-engineering

Designs autonomous agent harnesses: research loops, locked and editable surfaces, durable logs, novelty gates, rollback and human approval boundaries.

Kind
Skill
Works with
Any agent
Source
Agent Skills for Context Engineering @ 9ff0c99108b3
Path
skills/harness-engineering/SKILL.md
Jobs
Guardrails, Automation
Topics
Agents & MCP

Credit

Made by
muratcankoylan
Original
github.com/muratcankoylan/Agent-Skills-for-Context-Engineerin…
License
MIT

Listed by Skill Manifest; not made by us.

InstallInstall it from a plugin marketplace.
/plugin install context-engineering@context-engineering-marketplace
Install factsScanned 2 Nov 2026
Adds
  • .claude/skills/harness-engineering/ (the skill folder)
Runs scripts
None found
Uses the network
None found
Needs secrets
None found
Source revision
9ff0c99108b3
Licence
MIT
Last activity
12 Oct 2026
Review
Reviewed

Found by a static scan of the stored text; nothing is run. “None found” is not a guarantee, so read what you install before you run it.

  • Only the main file is read; other files in the folder are not scanned
# Harness Engineering

Harness engineering designs the control system around an agent: what it may edit, how it receives feedback, where it writes state, how failures recover, and who can approve irreversible actions. The harness is the difference between a helpful agent session and an autonomous loop that can run for days without corrupting its objective.

## When to Activate

Activate this skill when:

- Building autonomous research or experimentation loops
- Designing an agent environment with locked metrics and editable code or content
- Creating PR-producing or background agents
- Evaluating whether an agent can safely run without frequent human prompts
- Adding novelty, ablation, pruning, rollback, or durable logging to an agent workflow
- Preventing agents from gaming benchmarks, weakening rubrics, or losing state across compaction

Do not activate this skill for adjacent work owned by other skills:
- General quality gates, regression suites, or outcome metrics without autonomous control surfaces: `evaluation`.
- Tool schemas, response formats, and recovery errors for harness tools: `tool-design`.
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