Coding policy tile for Baruch's AI agents. Language-agnostic code quality rules plus Tessl-specific plugin authoring standards — covering commits, testing, error handling, skill structure, script delegation, and eval quality.

What's New

15 always-on steering rules: 8 covering code quality, 5 covering plugin authoring, 1 covering author-model declaration, 1 covering concurrency
release skill — structured PR + merge workflow with Copilot review and paired-reviewer cross-family enforcement
eval-authoring skill — generate, review, and curate eval scenarios with score-driven iteration
install-reviewer skill — scaffold the paired gh-aw PR review workflows (OpenAI + Anthropic) into a consumer repo
0.3.0 added install-reviewer upgrade mode (--override) — refreshes scaffolded reviewer files in place instead of requiring a manual git rm-and-rerun
0.2.0 lifted with-context attainment from 93 to 98 (3× avg, lift +17 → +22) by tuning skill prose against eval log analysis
Language-agnostic: works with any stack, no Python/JS assumptions

See CHANGELOG.md for full version history.

Installation

tessl install jbaruch/coding-policy

What's Included

Category	Rule	Summary
Git	commit-conventions	Imperative mood, one change per commit, PR hygiene
Testing	testing-standards	Outcome-based, deterministic, no binary fixtures
Errors	error-handling	Specific exceptions (with outer-boundary process-contract carve-out), actionable messages, structured logging
Deps	dependency-management	Stdlib-first, pinned versions, lock files
Files	file-hygiene	Proper .gitignore, no generated files committed
CI	ci-safety	Never skip tests, never modify CI without asking
Secrets	no-secrets	No credentials in code, env vars or secrets manager
Style	code-formatting	Use project's formatter, don't mix style with logic
Authoring	context-artifacts	Plugin structure, rule format, review iteration, surface sync, consistency checks
Authoring	skill-authoring	SKILL.md structure, step numbering, typed calls, tile.json reference
Authoring	script-delegation	Deterministic → script, reasoning → LLM, the regex trap
Authoring	plugin-evals	No bleeding, no leaking, persistent eval coverage
Authoring	stateful-artifacts	Cross-invocation state: schema, owner skill, schema_version, hints-not-authority, migration
Review	author-model-declaration	PRs declare author model; paired reviewers pick the cross-family one
Concurrency	agent-worktree-isolation	Mandatory git worktrees for concurrent agent work; cleanup; read-only exception

Skills

Skill	Description
release	PR creation, Copilot review, merge + cleanup workflow
eval-authoring	Generate, review, iterate on eval scenarios with score-driven feedback
install-reviewer	Scaffold the paired gh-aw PR review workflows (OpenAI + Anthropic) into a consumer repo — reviews every PR against the latest published `jbaruch/coding-policy` with cross-family enforcement. Supports `--override` for in-place upgrades.

Philosophy

Language-agnostic code rules. The code quality rules (commits through formatting) apply to Python, TypeScript, Go, Rust, Java — any language. No framework-specific assumptions.
Tessl-specific authoring rules. The authoring rules (context-artifacts through plugin-evals) are specific to the Tessl plugin workflow. They codify how to build, test, and ship tiles.
One concern per rule. Each file covers one topic. Easy to read, easy to reference, easy to override if a project needs an exception.
Opinionated but practical. These rules reflect real patterns found across 17+ repositories and the Tessl plugin authoring workflow. They solve problems that actually come up when agents write and ship code.
Always on. Every rule is alwaysApply: true. Agents follow these conventions without being reminded.

Workspace: jbaruch
Visibility: Public
Created: 16 days ago
Last updated: about 7 hours ago
Publish Source: CLI
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