# audit-feedback-loop

Scans your repository and scores its feedback loop maturity for AI-driven coding. Identifies missing CI workflows, linters, and project rules.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 435 installs · ★ 15
- Author: zernie
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/zernie/vigiles/tree/HEAD/.claude/skills/audit-feedback-loop/SKILL.md
- Updated: 2026-10-14
- HTML: https://affpapa.org/en/nevibecode/skills/audit-feedback-loop

## What it does

The skill inspects your project across ten concrete signals. It searches for CI workflows, linters across languages like TypeScript, Python, Rust, Go, and Ruby, plus visual test runners and observability libraries. It also checks for root `CLAUDE.md` files, vigiles v2 typed specs, and cron schedules.

Based on what it discovers, the prompt assigns a maturity rank from Level 0 (Vibes) to Level 3 (The Organism). The output includes an itemized report of present and missing signals, paired with actionable steps to upgrade the repo setup.

Because `disable-model-invocation: true` is configured in frontmatter, the assistant will not trigger this audit autonomously without your prompt.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add zernie/vigiles --skill audit-feedback-loop -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/audit-feedback-loop/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/audit-feedback-loop/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add zernie/vigiles --skill audit-feedback-loop -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/audit-feedback-loop/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add zernie/vigiles --skill audit-feedback-loop -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/audit-feedback-loop/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install zernie/vigiles audit-feedback-loop
```

2. **Manually: put the files in place**
- File: `.github/skills/audit-feedback-loop/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add zernie/vigiles --skill audit-feedback-loop -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/zernie/vigiles --path .claude/skills/audit-feedback-loop
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/audit-feedback-loop/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add zernie/vigiles --skill audit-feedback-loop -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/zernie/vigiles/tree/HEAD/.claude/skills/audit-feedback-loop/SKILL.md

## When to use it
- evaluate repository maturity for AI-assisted programming
- audit presence of CI pipelines, linters, and observability tools
- verify `CLAUDE.md` enforcement and vigiles v2 spec integration
- generate prioritized recommendations to upgrade project guardrails

## Example prompts
- Run audit-feedback-loop on this repository and show the maturity level
- Audit our CI and linting setup with audit-feedback-loop

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 31f566d21d16217f.

BEGIN THIRD-PARTY FILE 31f566d21d16217f
````text
---
name: audit-feedback-loop
description: Scan the current repo and score its feedback loop maturity for AI-assisted development
disable-model-invocation: true
---

Scan the current repository and score its feedback loop maturity for AI-assisted development.

## Instructions

Analyze this repository and score its **feedback loop maturity** using the levels below. Check for each signal, then output a summary report.

### Maturity Levels

**Level 0 — Vibes**
No CI config, no linter rules, no CLAUDE.md. The AI agent is flying blind.

**Level 1 — Guardrails**
Has CI + standard linters, but no custom rules. The agent gets basic feedback but can't learn project-specific conventions.

**Level 2 — Architecture as Code**
Has custom lint rules, CLAUDE.md rules have enforcement annotations. The agent gets rich, project-specific feedback.

**Level 3 — The Organism**
Has CI + custom rules + screenshot/visual tests + observability + scheduled agent tasks. The entire development loop is instrumented.

### Signals to Check

Scan the repository for the following and note which exist:

1. **CI Configuration**: Look for `.github/workflows/`, `.circleci/`, `Jenkinsfile`, `.gitlab-ci.yml`, `bitbucket-pipelines.yml`, `.travis.yml`, etc.
2. **Linter Config** (language-aware):
   - **JS/TS**: `eslint.config.*`, `.eslintrc*`, `biome.json`, `.prettierrc*`, `deno.json`
   - **Python**: `pyproject.toml` (look for `[tool.ruff]`, `[tool.pylint]`, `[tool.flake8]`), `setup.cfg`, `.flake8`, `ruff.toml`
   - **Rust**: `clippy.toml`, `.clippy.toml`, `rustfmt.toml`
   - **Go**: `.golangci.yml`, `.golangci.yaml`
   - **Ruby**: `.rubocop.yml`
   - **Java/Kotlin**: `checkstyle.xml`, `pmd.xml`, `detekt.yml`
3. **Custom Lint Rules**: Look for custom plugins, rule directories, or inline rule definitions in linter configs
   - JS/TS: `eslint-plugin-*`, `eslint-rules/` directories
   - Python: custom Ruff/Pylint plugins, AST-based checks
   - Rust: custom Clippy lints
   - Go: custom analyzers
4. **CLAUDE.md**: Check if `CLAUDE.md` exists at the repo root
5. **CLAUDE.md Enforcement**: Check if using vigiles v2 specs (`CLAUDE.md.spec.ts` exists) or v1 annotations (`**Enforced by:**` in CLAUDE.md). v2 specs = higher maturity.
6. **Type-Safe Specs**: Check for `CLAUDE.md.spec.ts` or `*.spec.ts` files — indicates typed spec compilation via vigiles v2
7. **Generated Types**: Check for `.vigiles/generated.d.ts` — indicates linter rules are type-checked at authoring time
8. **Screenshot/Visual Tests**: Look for Playwright (`playwright.config.*`), Cypress (`cypress.config.*`), Chromatic, Percy, BackstopJS configs
9. **Observability**: Search for imports/usage of `@sentry/`, `dd-trace`, `@datadog/`, `newrelic`, `@opentelemetry/`, `sentry_sdk`, `structlog`, `tracing` (Rust), `opentelemetry` in source files
10. **Scheduled Agent Tasks**: Look for cron patterns in CI configs, `.github/workflows/` with `schedule:` triggers, or references to scheduled Claude Code tasks

### Output Format

```
## Feedback Loop Audit

**Repository:** <repo name>
**Primary language(s):** <detected languages>
````
END THIRD-PARTY FILE 31f566d21d16217f

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