Skill Market

Harness

Shared instructions, portable skills, and strict safety guardrails for AI coding agents in complex codebases.

GitHub
githubcommunityagent-skillsagentic-workflowsai-agentscomplex-systemsclaudeclaude-code
0.0
0 installs0 GitHub starsby Hetav21

Skill Introduction

Overview
Shared instructions, portable skills, and strict safety guardrails for AI coding agents in complex codebases.

Core value

Turns reusable Testing know-how into an installable skill, helping users complete github, community, agent-skills, agentic-workflows work faster.

Target users

  • Developers, testers, and maintainers who handle Testing tasks in Focus Code.
  • Teams that already trust workflows or content from Hetav21.
  • Users who want standardized prompts, steps, or conventions instead of repeating setup work.

Best practices

  • Read the skill content first to confirm required inputs, expected outputs, and dependencies.
  • Try it on a small task before relying on it for critical work.
  • Add project-specific constraints such as coding style, target platform, test expectations, and delivery format.
  • For external sources, verify the source link, version, and recent maintenance activity.

Best use cases

  • Tasks related to github, community, agent-skills, agentic-workflows that need a reusable execution flow.
  • Converting a community repo, team convention, or personal workflow into day-to-day assistance.
  • Starting from a proven skill instead of writing prompts or procedures from scratch.

Limits and boundaries

  • Results depend on the quality of the original skill content and may need human correction.
  • It does not replace code review, tests, security review, or professional judgment.
  • External tools, APIs, account permissions, and local dependencies still need separate setup.

Differentiation

  • Structured around Testing, making it easier to discover and reuse than loose prompt snippets.
  • Marked as GitHub, which helps users judge trust and maintenance expectations.
  • Keeps the original source link available for repository, documentation, or discussion follow-up.
  • Tagged with github, community, agent-skills, agentic-workflows, so it can be filtered by concrete task intent.

Install and use

Install
Copy Install Command
focus install harness-12ced3
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Detail Preview

SKILL.md

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⚡ Harness

Production-grade governance for AI coding agents across complex codebases.

A client-agnostic governance framework to bootstrap, orchestrate, and reliably upgrade multi-repository workspaces.

Release Specification Compatibility

Harness is a portable, client-agnostic starter and governance framework designed to bootstrap and manage multi-repository agent workspaces. It combines portable instructions, role boundaries, canonical Agent Skills, verifiable manifest-based provenance tracking, and native client adapters for Claude Code, OpenAI Codex, OpenCode, and Google Antigravity.

What this is

This repository is a versioned, client-neutral starter for bootstrapping a project-specific multi-repository agent workspace. It contains portable policy, project-context, role, manifest, validation, and Agent Skills source material, plus adapters for supported clients. It contains no project facts, credentials, or assumed repository commands.

The distribution is a starter source, not the generated workspace itself. Copy or clone a tagged release, then have an agent read the bootstrap playbook, conduct the preflight and essay-led interview, and produce a complete materialization plan. The agent must wait for explicit approval of that final plan before editing generated workspace files.

Supported clients

The current release has adapters for:

Shared skills use the Agent Skills specification and are installed canonically under .agents/skills. Client adapters translate selected capabilities into native files; the presence of a client or a source template does not select it automatically.

Bootstrap a new workspace

Start with a tagged release by copying or cloning this repository. The agent performs a read-only preflight, asks for a free-form project essay first, and then asks one targeted question at a time. It records evidence, unknowns, contradictions, ownership, and local commands without inventing facts.

Next, explicitly select clients and capabilities. The agent presents the full plan, including every selected output and conflict, validation tier, owner, and update policy. Only explicit approval of that complete plan permits selected materialization. Materialization is selected-only: unselected clients, capabilities, and source modules are not generated.

Read the bootstrap playbook for the gates and output requirements. The example ownership record is core/manifest/manifest.example.yaml.

What the project essay should cover

The essay should describe, in the adopter's own words, repositories and paths, ownership and responsibilities, dependencies, setup/run/test commands, CI/CD, deployment, observability, authentication boundaries, desired clients, and desired capabilities. The agent maps those claims into project context and an evidence ledger, preserving gaps, assumptions, contradictions, and unknowns. Do not provide credentials or ask the agent to infer facts that are not in the essay or authoritative repository evidence.

Select clients and capabilities

Client selection and capability selection are separate decisions. For each selected client, choose only capabilities supported by its adapter, such as instructions, roles, canonical skills, MCP, hooks, settings, or plugins. Missing client binaries may still support offline file generation, but live validation cannot be claimed for them.

The canonical skill files live in .agents/skills. For Claude Code, the preferred bridge is a relative per-skill symlink under .claude/skills pointing to the canonical skill. Resolve and record each link. Official Claude documentation does not guarantee runtime discovery through such symlinks, so filesystem resolution is insufficient: live /skills discovery needs to be verified in an authenticated user session when that check is requested.

Generated workspace state

The generated workspace retains .agent-template/manifest.yaml and the project context. The manifest records the source repository clone URL, release tag, exact source commit, selected clients and capabilities, source modules, ownership, hashes or link targets, migrations, warnings, and validation results. It must retain skipped and blocked checks rather than calling them passed.

After a successful bootstrap, the starter source repository may optionally be removed, but only with explicit approval. The generated manifest and project context must remain outside that checkout, alongside the generated instructions. The generated AGENTS.md includes a Harness updates section pointing to the manifest. Keep these files in the project's version-controlled workspace configuration. No separate update guide or permanent Harness clone is needed.

Upgrade from a later release

Ask the agent to update the Harness-generated instructions. It reads the retained manifest, retrieves a target tagged release from the recorded origin into a temporary directory, and follows that release's upgrade playbook and migrations. The agent verifies the source identity and resolves the contiguous migration range, classifies managed and unmanaged changes, presents a new complete plan, and waits for explicit approval. Local modifications and unmanaged files are preserved. See the changelog for release history.

New workspaces use manifest schema version 3 with a required source commit and source-modules on each generated output. These lists identify contributing source files so upgrades can find affected outputs without guessing. The validator also accepts versions 1 and 2; legacy source mappings must be verified before conversion, while user-owned files need no source attribution.

Validation tiers

Validation is reported separately by tier and by client/capability:

  1. Offline validation checks source portability, syntax, paths, hashes, ownership policies, link resolution, and static adapter diagnostics.
  2. Optional local CLI validation uses only an already-installed client and its documented non-authenticating diagnostics. Missing binaries are skipped, not passed.
  3. Authenticated live validation is run only when requested and when a human has already authenticated in their own client session. Live discovery, including Claude symlink discovery, must be verified rather than assumed.

Every check is passed, failed, skipped, or blocked; skipped is not passed. Offline correctness does not imply client runtime compatibility.

Security and authentication

Never place credentials, tokens, private keys, or secret values in this repository, project context, examples, manifests, or generated guidance. The agent must not inspect cached authentication material and must never handle login, MFA, SSO, role selection, or token refresh. Authentication is human controlled: hand off to the user and report the affected live check as skipped or blocked. MCP examples use environment-variable names only.

Compatibility limitations

Adapters reflect documented client contracts and are not a guarantee that every client version discovers every generated file. Native syntax, permissions, hooks, MCP behavior, and symlink traversal can vary by version and environment. Official references used for this release include Claude Code memory, skills, subagents, and hooks; Codex customization, AGENTS.md, configuration, MCP, and hooks; OpenCode instructions, skills, agents, and configuration; and Antigravity CLI reference, skills, subagents, MCP, and hooks.

Repository development

This distribution intentionally has no bundled executable test harness. Review portable sources against core/validation/ACCEPTANCE.md, verify selected adapter paths and configuration syntax, and follow the bootstrap or upgrade playbook's evidence gates. Do not run live client sessions or authentication as part of offline validation. Keep changes focused, preserve unmanaged files, and report skipped validation separately from passing validation.

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