Instructions file CodexOpenCode
Instructions for jscraik/Agent-Skills, covering agent-skills agent guide, root essentials, project-specific correction boundary and further guidance.
Instructions file CodexOpenCode
Instructions for jscraik/Agent-Skills, covering agent-skills agent guide, root essentials, project-specific correction boundary and further guidance.
Agent
The canonical instruction map is Docs/agents/README.md. This file preserves existing links only; do not maintain a second category list here.
Agent
Agent "02-tooling-policy" from jscraik/Agent-Skills, covering tooling and command policy, tools, command preflight, verified command style and package command map.
Agent
When .harness/memory/LEARNINGS.md exists, treat it as a repo-specific append-only knowledge base for recurring fixes and repository-grounded operational context.
Agent
Agent "04-validation" from jscraik/Agent-Skills, covering validation and checks, repository checks, managed asset lifecycle baseline, config-sensitive checks and ai workflow checks.
Agent
Use Docs/agents/05-contradictions-and-cleanup.md for current maintenance invariants. Historical cleanup events belong in version control, not in an instruction file that agents may interpret as present-tense repository truth.
Agent
Agent "06-security-and-governance" from jscraik/Agent-Skills, covering security and governance, baselines, repository practice and external integration preflight.
Agent
Agent "07a-role-governance" from jscraik/Agent-Skills, covering role governance, decision rights and escalation rule.
Agent
Agent "07b-agent-governance" from jscraik/Agent-Skills, covering agent governance, prompting contract, coordination constraints, communication checks and pr approval gates.
Agent
Agent "08-release-and-change-control" from jscraik/Agent-Skills, covering release and change-control checks, git risk escalation, release prerequisites and governance gates.
Agent
Agent "09-audit-trail-policy" from jscraik/Agent-Skills, covering audit trail policy, artifact rules and session hygiene.
Agent
Agent "10-agent-testing-gates" from jscraik/Agent-Skills, covering agent testing gates, validation order and failure policy.
Agent
This document defines focused review expectations for AI-centered skill infrastructure. Hosted required-check truth remains owned by CI Required Checks.
Agent
This document explains where current required-check truth lives. It does not replace the executable workflow or registry.
Agent
After fixing any code, always run the relevant test suite to verify the fix works before committing. If tests fail, debug and iterate rather than committing broken code.
Agent
Separate skill and plugin product content from factory mechanics and runtime projections so ownership is unambiguous.
Agent
Define how tracked repository surfaces are classified before cleanup, projection changes, or runtime ownership decisions. This policy keeps source, generated state, runtime output, fixtures, and historical evidence from competing as if they had the same authority.
Agent
Keep the root AGENTS.md small while preserving the repo-specific command contract agents need for everyday work.
Agent
Keep skill authoring and lifecycle details out of the always-loaded root instructions while preserving the commands agents need when working on skills.
Agent
Keep local preview fallback guidance available without loading it into every repo task.
Agent
Jamie steering is useful operating evidence. It does not automatically stop a routine delivery lane or authorize new operating-system machinery.
Agent
Secure code comes from interfaces that make the correct use natural and the unsafe use hard to express. Prefer APIs that carry authority, ownership, and invariants in their shape instead of relying on callers to remember process rules.
Agent
The product contract is that customers should be able to drop agents into a workspace and have those agents set themselves up. The customer should not need to integrate with the product before the product can become useful.
Agent
Systems thinking means spotting blockers, designing ways for people and agents to systematically overcome them, and explaining how code makes that possible.