plankton-code-quality
Write-time code quality enforcement using Plankton — auto-formatting, linting, and AI-powered fixes on every file edit via hooks.
Best use case
plankton-code-quality is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Write-time code quality enforcement using Plankton — auto-formatting, linting, and AI-powered fixes on every file edit via hooks.
Teams using plankton-code-quality should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/plankton-code-quality/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How plankton-code-quality Compares
| Feature / Agent | plankton-code-quality | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Write-time code quality enforcement using Plankton — auto-formatting, linting, and AI-powered fixes on every file edit via hooks.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Plankton Code Quality Skill
Integration reference for Plankton (credit: @alxfazio), a write-time code quality enforcement system for Gemini CLI. Plankton runs formatters and linters on every file edit via PostToolUse hooks, then spawns Gemini subprocesses to fix violations the agent didn't catch.
## When to Use
- You want automatic formatting and linting on every file edit (not just at commit time)
- You need defense against agents modifying linter configs to pass instead of fixing code
- You want tiered model routing for fixes (Haiku for simple style, Sonnet for logic, Opus for types)
- You work with multiple languages (Python, TypeScript, Shell, YAML, JSON, TOML, Markdown, Dockerfile)
## How It Works
### Three-Phase Architecture
Every time Gemini CLI edits or writes a file, Plankton's `multi_linter.sh` PostToolUse hook runs:
```
Phase 1: Auto-Format (Silent)
├─ Runs formatters (ruff format, biome, shfmt, taplo, markdownlint)
├─ Fixes 40-50% of issues silently
└─ No output to main agent
Phase 2: Collect Violations (JSON)
├─ Runs linters and collects unfixable violations
├─ Returns structured JSON: {line, column, code, message, linter}
└─ Still no output to main agent
Phase 3: Delegate + Verify
├─ Spawns gemini -p subprocess with violations JSON
├─ Routes to model tier based on violation complexity:
│ ├─ Haiku: formatting, imports, style (E/W/F codes) — 120s timeout
│ ├─ Sonnet: complexity, refactoring (C901, PLR codes) — 300s timeout
│ └─ Opus: type system, deep reasoning (unresolved-attribute) — 600s timeout
├─ Re-runs Phase 1+2 to verify fixes
└─ Exit 0 if clean, Exit 2 if violations remain (reported to main agent)
```
### What the Main Agent Sees
| Scenario | Agent sees | Hook exit |
|----------|-----------|-----------|
| No violations | Nothing | 0 |
| All fixed by subprocess | Nothing | 0 |
| Violations remain after subprocess | `[hook] N violation(s) remain` | 2 |
| Advisory (duplicates, old tooling) | `[hook:advisory] ...` | 0 |
The main agent only sees issues the subprocess couldn't fix. Most quality problems are resolved transparently.
### Config Protection (Defense Against Rule-Gaming)
LLMs will modify `.ruff.toml` or `biome.json` to disable rules rather than fix code. Plankton blocks this with three layers:
1. **PreToolUse hook** — `protect_linter_configs.sh` blocks edits to all linter configs before they happen
2. **Stop hook** — `stop_config_guardian.sh` detects config changes via `git diff` at session end
3. **Protected files list** — `.ruff.toml`, `biome.json`, `.shellcheckrc`, `.yamllint`, `.hadolint.yaml`, and more
### Package Manager Enforcement
A PreToolUse hook on Bash blocks legacy package managers:
- `pip`, `pip3`, `poetry`, `pipenv` → Blocked (use `uv`)
- `npm`, `yarn`, `pnpm` → Blocked (use `bun`)
- Allowed exceptions: `npm audit`, `npm view`, `npm publish`
## Setup
### Quick Start
> **Note:** Plankton requires manual installation from its repository. Review the code before installing.
```bash
# Install core dependencies
brew install jaq ruff uv
# Install Python linters
uv sync --all-extras
# Start Gemini CLI — hooks activate automatically
gemini
```
No install command, no plugin config. The hooks in `.gemini/settings.json` are picked up automatically when you run Gemini CLI in the Plankton directory.
### Per-Project Integration
To use Plankton hooks in your own project:
1. Copy `.gemini/hooks/` directory to your project
2. Copy `.gemini/settings.json` hook configuration
3. Copy linter config files (`.ruff.toml`, `biome.json`, etc.)
4. Install the linters for your languages
### Language-Specific Dependencies
| Language | Required | Optional |
|----------|----------|----------|
| Python | `ruff`, `uv` | `ty` (types), `vulture` (dead code), `bandit` (security) |
| TypeScript/JS | `biome` | `oxlint`, `semgrep`, `knip` (dead exports) |
| Shell | `shellcheck`, `shfmt` | — |
| YAML | `yamllint` | — |
| Markdown | `markdownlint-cli2` | — |
| Dockerfile | `hadolint` (>= 2.12.0) | — |
| TOML | `taplo` | — |
| JSON | `jaq` | — |
## Pairing with ECC
### Complementary, Not Overlapping
| Concern | ECC | Plankton |
|---------|-----|----------|
| Code quality enforcement | PostToolUse hooks (Prettier, tsc) | PostToolUse hooks (20+ linters + subprocess fixes) |
| Security scanning | AgentShield, security-reviewer agent | Bandit (Python), Semgrep (TypeScript) |
| Config protection | — | PreToolUse blocks + Stop hook detection |
| Package manager | Detection + setup | Enforcement (blocks legacy PMs) |
| CI integration | — | Pre-commit hooks for git |
| Model routing | Manual (`/model opus`) | Automatic (violation complexity → tier) |
### Recommended Combination
1. Install ECC as your plugin (agents, skills, commands, rules)
2. Add Plankton hooks for write-time quality enforcement
3. Use AgentShield for security audits
4. Use ECC's verification-loop as a final gate before PRs
### Avoiding Hook Conflicts
If running both ECC and Plankton hooks:
- ECC's Prettier hook and Plankton's biome formatter may conflict on JS/TS files
- Resolution: disable ECC's Prettier PostToolUse hook when using Plankton (Plankton's biome is more comprehensive)
- Both can coexist on different file types (ECC handles what Plankton doesn't cover)
## Configuration Reference
Plankton's `.gemini/hooks/config.json` controls all behavior:
```json
{
"languages": {
"python": true,
"shell": true,
"yaml": true,
"json": true,
"toml": true,
"dockerfile": true,
"markdown": true,
"typescript": {
"enabled": true,
"js_runtime": "auto",
"biome_nursery": "warn",
"semgrep": true
}
},
"phases": {
"auto_format": true,
"subprocess_delegation": true
},
"subprocess": {
"tiers": {
"haiku": { "timeout": 120, "max_turns": 10 },
"sonnet": { "timeout": 300, "max_turns": 10 },
"opus": { "timeout": 600, "max_turns": 15 }
},
"volume_threshold": 5
}
}
```
**Key settings:**
- Disable languages you don't use to speed up hooks
- `volume_threshold` — violations > this count auto-escalate to a higher model tier
- `subprocess_delegation: false` — skip Phase 3 entirely (just report violations)
## Environment Overrides
| Variable | Purpose |
|----------|---------|
| `HOOK_SKIP_SUBPROCESS=1` | Skip Phase 3, report violations directly |
| `HOOK_SUBPROCESS_TIMEOUT=N` | Override tier timeout |
| `HOOK_DEBUG_MODEL=1` | Log model selection decisions |
| `HOOK_SKIP_PM=1` | Bypass package manager enforcement |
## References
- Plankton (credit: @alxfazio)
- Plankton REFERENCE.md — Full architecture documentation (credit: @alxfazio)
- Plankton SETUP.md — Detailed installation guide (credit: @alxfazio)
## ECC v1.8 Additions
### Copyable Hook Profile
Set strict quality behavior:
```bash
export ECC_HOOK_PROFILE=strict
export ECC_QUALITY_GATE_FIX=true
export ECC_QUALITY_GATE_STRICT=true
```
### Language Gate Table
- TypeScript/JavaScript: Biome preferred, Prettier fallback
- Python: Ruff format/check
- Go: gofmt
### Config Tamper Guard
During quality enforcement, flag changes to config files in same iteration:
- `biome.json`, `.eslintrc*`, `prettier.config*`, `tsconfig.json`, `pyproject.toml`
If config is changed to suppress violations, require explicit review before merge.
### CI Integration Pattern
Use the same commands in CI as local hooks:
1. run formatter checks
2. run lint/type checks
3. fail fast on strict mode
4. publish remediation summary
### Health Metrics
Track:
- edits flagged by gates
- average remediation time
- repeat violations by category
- merge blocks due to gate failuresRelated Skills
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