# Harness Map

> Map a repository's mechanical harness layers: canonical check command, local and CI gates, architecture boundaries, structural rules, behavioral verification, docs ratchets, evidence workflows, and operator-facing surfaces. Use when you need to understand how a repo keeps change safe.

- Skill: `alchemiststudiosdotai/harness-map` (Agent Skill)
- Install (CLI): `npx skillmds@latest add alchemiststudiosdotai/harness-map`
- Raw SKILL.md: https://api.skillmd.com/api/skills/alchemiststudiosdotai/harness-map/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: alchemiststudiosdotai (https://skillmd.com/u/alchemiststudiosdotai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/alchemiststudiosdotai/harness-map

---


# Harness Map

Map the repository's **actual harness**: the mechanical checks, policies, workflows, and artifacts that make change safe.

This skill is narrower than generic codebase research. It is specifically for answering questions like:

- "What is the harness in this repo?"
- "What does `check` actually run?"
- "Which layers are local vs CI vs docs vs evidence?"
- "How is architecture enforced here?"
- "What operator surfaces teach agents how to use the harness?"

## Core Principle

**Map the harness as implemented, not as imagined.**

Prefer:
- commands that actually run
- config files that actually enforce policy
- CI workflows that actually gate merges
- docs and playbooks that actually structure investigations
- agent/operator files that actually expose the workflow

Avoid:
- aspirational architecture prose without enforcement
- recommendations before the map exists
- broad codebase summaries that skip the gate structure

## What Counts as Harness

A repo harness usually includes some or all of these layers:

1. **Canonical local command**
   - `just check`, `make check`, `task check`, `npm test`, etc.
2. **Architecture boundaries**
   - Import Linter, dependency-cruiser, Bazel visibility, custom dependency tests
3. **Structural rules**
   - ast-grep, semgrep, custom lint rules, codemod rule tests
4. **Behavioral verification**
   - unit/integration tests, snapshots, goldens, deterministic checks, build verification
5. **Docs ratchets**
   - docs link checks, nav checks, metadata/frontmatter checks, allowlists
6. **CI decomposition**
   - matrix jobs or separate workflows that mirror harness gates
7. **Evidence workflows**
   - session logs, diff reports, chunk docs, experiment records, replay/debug artifacts
8. **Operator surface**
   - `AGENTS.md`, `.codex/`, environment files, repo-local skills, slash commands

## When to Use

Use this skill when the user asks to:

- map or explain the harness
- identify all gate layers in a repo
- compare local checks with CI checks
- document how architectural constraints are enforced
- understand how agents/operators are expected to use the repo safely

## Workflow

### 1. Find the canonical local entrypoint

Inspect common entrypoint files first:

- `justfile`
- `Makefile`
- `package.json`
- `pyproject.toml`
- task runner config files

Capture:
- the canonical command name
- every subcommand it runs
- whether it chains all gates or only a subset

### 2. Find CI gate execution

Inspect CI workflows:

- `.github/workflows/*.yml`
- other CI configs (`.gitlab-ci.yml`, `buildkite`, etc.)

Capture:
- job names
- matrix dimensions
- whether `fail-fast` is enabled
- which local gates are mirrored in CI
- which gates only exist in CI

### 3. Find architecture enforcement

Look for:

- Import Linter / grimp
- dependency-cruiser
- layering tests
- package-boundary configs
- forbidden import tests

Capture:
- contract names
- source and forbidden modules
- ignore lists / allowed exceptions
- exact config path

### 4. Find structural rule enforcement

Look for:

- `sgconfig.yml`, ast-grep rule directories
- semgrep configs
- custom lint rule packages
- rule tests and snapshots

Capture:
- rule config files
- rule directories
- test directories
- snapshot/baseline locations
- any custom parser or language extensions

### 5. Find behavioral verification layers

Look for:

- test commands
- snapshot directories
- golden outputs
- deterministic helpers
- numerical equivalence docs
- build verification steps

Capture:
- exact commands
- test conventions docs
- locations of snapshots/goldens
- special validation steps outside the main test runner

### 6. Find docs ratchets

Look for:

- docs check scripts
- nav validation
- broken-link validation
- frontmatter/tag checks
- allowlists / baselines

Capture:
- categories of docs failures
- allowlist file paths
- whether the check behaves as a ratchet

### 7. Find evidence workflows

Look for:

- chunk docs
- debugging session logs
- replay/trace diff playbooks
- benchmark result docs
- evidence indexes

Capture:
- index files
- per-session or per-chunk docs
- required evidence fields
- exact commands recorded in those artifacts

### 8. Find operator-facing surfaces

Look for:

- `AGENTS.md`
- `.codex/environments/*`
- `.codex/skills/*`
- command docs
- plugin manifests

Capture:
- setup / run / test actions
- repo-local skills that wrap harness flows
- operator instructions that point to real commands

### 9. Synthesize the harness map

Write a research artifact to:

`memory-bank/research/YYYY-MM-DD_HH-MM-SS_<repo>-harness-map.md`

Recommended structure:

```markdown
---
title: "<repo> – Harness Map"
phase: Research
date: "YYYY-MM-DD HH:MM:SS"
owner: "<agent_or_user>"
tags: [research, harness, <repo>]
---

## Canonical Entry Point
- `path:line-line` → command and subcommands

## Harness Layers
### Layer 1: Local checks
### Layer 2: Architecture boundaries
### Layer 3: Structural rules
### Layer 4: Behavioral verification
### Layer 5: Docs ratchet
### Layer 6: CI matrix
### Layer 7: Evidence workflow
### Layer 8: Operator surface

## Source Index
- `path:line-line` → what this file contributes

## Observed Command Chain
- ordered list of checks from the main command
```

## Output Requirements

Your harness map must:

- identify the **single best local entrypoint** if one exists
- show where each layer is enforced
- distinguish between **enforced config** and **descriptive docs**
- include exact file paths
- include line numbers when they materially improve traceability
- describe what exists before suggesting changes

## Good Output Example

```markdown
## Canonical Entry Point
- `justfile:22-29` defines `check *args:` and runs Ruff, Import Linter, ty, docs checks, ast-grep, pytest, and Zig checks.

## Layer 2: Architecture Boundaries
- `pyproject.toml:80-110` defines four Import Linter forbidden contracts.

## Layer 6: CI Matrix
- `.github/workflows/ci.yml:13-79` runs seven matrix tasks with `fail-fast: false`.
```

## Bad Output Example

```markdown
The repo appears to care about quality and uses several tools.
It has some tests and some linting.
```

## Handoff

Common next steps after this skill:

- generate a condensed harness summary for operators
- compare two repos' harnesses
- use `plan-phase` if the user wants to add or improve a harness layer