---
title: "Agent Skill to Delivery Gate"
platform: "Promptally"
canonical_url: "https://app.promptally.dev/p/skill-delivery-gate"
modality: "SKILL"
category: "Fullstack & Backend Engineering"
compatible_models: [Universal / Model Agnostic]
access_tier: "Free Public Artifact (No Auth Required)"
license: "MIT"
---

# Agent Skill to Delivery Gate

**Summary:** Agent Skill to Delivery Gate is a verified SKILL blueprint on Promptally in Fullstack & Backend Engineering optimized for leading AI models. Stop hook that blocks Claude from finishing until quality checks pass. Detects rationalization patterns (surface text heuristics), stale learning logs (filesystem mtime), and low disk space. Complements self-audit by mechanically enforcing learning capture habits. Use when Claude should be mechanically blocked from declaring work finished before quality checks and learning capture actually pass. Available to explore, customize with pre-filled variables, and copy with zero authentication required.

## Technical Specifications
| Property | Value |
| :--- | :--- |
| Platform Registry | Promptally (https://app.promptally.dev) |
| Modality | SKILL |
| Category | Fullstack & Backend Engineering |
| Compatible Engines | Universal / Model Agnostic |
| Dynamic Variables | None (Static Blueprint) |
| Approx. Token Length | 1,513 |
| Access Tier | Free Public Artifact (No Auth Required) |
| License | MIT |

### Pre-Filled Template & Production Source

````md
---
name: delivery-gate
description: Stop hook that blocks Claude from finishing until quality checks pass. Detects rationalization patterns (surface text heuristics), stale learning logs (filesystem mtime), and low disk space. Complements self-audit by mechanically enforcing learning capture habits. Use when Claude should be mechanically blocked from declaring work finished before quality checks and learning capture actually pass.
metadata:
  version: 1.1.1
  origin: ECC
---

# Delivery Gate — Mechanical Quality Gate for Claude Code

A **Stop hook** that checks three things before Claude can finish a session, using only **deterministic checks** — file modification timestamps, disk usage, and regex patterns on the transcript text. No AI inference.

This is distinct from reasoning gates (like `self-audit`): delivery-gate checks machine-verifiable facts; self-audit checks output quality across four reasoning dimensions. Together they form defense in depth:
- **delivery-gate**: "Was the learning library touched today? Is disk space safe?"
- **self-audit**: "Is the file content correct, complete, and honest?"

This is the same pattern as CI pipeline gates — automated, deterministic checks that verify machine-readable facts rather than trusting self-reported status.

## What It Checks

| Check | Mechanism | On Hit |
|-------|-----------|--------|
| Rationalization patterns | Regex on transcript tail | **Warning only** (never blocks) |
| Stale learning libraries | mtime on 5 configurable paths | Warning if some stale; **Block** on a complex task if >=3 stale OR growth-log stale |
| Disk space < 50GB | `shutil.disk_usage` | Reminder |
| Disk space < 30GB | `shutil.disk_usage` | Warning |
| Disk space < 15GB | `shutil.disk_usage` | **Block** (exit 2), on every Stop |

Rationalization detection warns about patterns like "skip tests for now" and "pre-existing bug" — surface signals that thinking may have been cut short. It never blocks on its own, because regex heuristics can false-positive. The blocking conditions are: disk critical (any session), or, on a complex task (>=3 Edit/Write calls), `>=3 learning libs stale` OR `growth-log` specifically stale. If the project memory directory does not exist, the learning-library checks are skipped: the hook only warns that it cannot verify learning capture, and a complex task is not blocked (the disk checks still apply).

The hook blocks a given Stop at most once. When Claude Code re-runs it with `stop_hook_active: true` (Claude already continued once because of this hook), it exits 0, so a condition the agent cannot fix (such as low disk space) cannot trap the session in an endless loop.

## Why

Claude Code's built-in checks cover code quality (build → type → lint → test). But there's a different failure mode: the agent produces working code while the **session hygiene was neglected** — learning not captured, rationalized shortcuts, disk running out silently.

Over many sessions of "ship and forget," the human hasn't grown. This hook enforces the habit: complex task → must touch learning libraries.

## Install

From the ECC repository root:

```bash
mkdir -p ~/.claude/scripts
cp skills/delivery-gate/hooks/quality-gate.py ~/.claude/scripts/
```

Add to `~/.claude/settings.json`:
```json
{
  "hooks": {
    "Stop": [{
      "hooks": [{
        "type": "command",
        "command": "python3 ~/.claude/scripts/quality-gate.py",
        "timeout": 5
      }]
    }]
  }
}
```

## Learning Libraries

Create these files in your project's memory directory (`~/.claude/projects/<encoded-project-path>/memory/`, where every non-alphanumeric character of the project path becomes `-`). The hook checks which of them were updated today:

```
memory/
├── growth-log/          # Daily learning entries (directory)
├── decisions/log.md     # Decision log
├── output-index.md      # Index of session outputs
├── ratings-tracker.md   # Skill ratings over time
└── tooling_capabilities.md  # Known tools inventory
```

Customize the `LIBS` dict to match your own file structure.

## Configuration

Edit `quality-gate.py`:

| Variable | Default | Purpose |
|----------|---------|---------|
| `RATIONALIZE` | 4 patterns | Regex patterns for rationalization detection |
| `LIBS` | 5 libraries | Files/dirs to check for today's updates |
| `COMPLEX_THRESHOLD` | 3 | Edit/Write calls to classify as complex |
| `DISK_REMIND_GB` | 50 | Remind below this |
| `DISK_WARN_GB` | 30 | Warn below this |
| `DISK_CRIT_GB` | 15 | Block below this |

## Examples

**Simple session — allowed:**
```
edit_count=1 (< 3, not complex) → exit 0
```

**Complex task, learning captured — allowed:**
```
edit_count=5 (complex) → checks LIBS → growth-log + 2 others updated today (2 stale) → exit 0
```

**Complex task, no learning — BLOCKED:**
```
edit_count=4 (complex) → checks LIBS → all 5 stale → exit 2
stderr: "Blocked: complex task but >=3 learning libs stale."
```

**Low disk space — BLOCKED:**
```
disk_free=12GB < 15GB critical → exit 2
stderr: "Blocked: disk space at 12GB (<15GB). Free space before continuing."
```

## Limitations

The hook enforces the **habit** of touching learning libraries, not the **quality** of what was recorded. On a complex task it passes only when `growth-log` was updated today and at most 2 libraries are stale; updating `output-index.md` alone still blocks. Without a project memory directory there is nothing to check, so it only warns. This is by design: mechanical gates check machine-verifiable facts. For content quality verification, pair with `self-audit`.

## Compatibility

- Python 3.8+ (uses `from __future__ import annotations`)
- Cross-platform: Windows, macOS, Linux
- Zero dependencies beyond stdlib

## Quality

This code went through 4 rounds of automated code review (CodeRabbit + Greptile) with 9 real bugs found and fixed.

## See Also

- `self-audit` — Reasoning quality gate (completeness/consistency/groundedness/honesty)
- `verification-loop` — Code quality checks (build/type/lint/test)
- `gateguard` — PreToolUse safety gate

````

## Verified Execution Output / Benchmark
```text
Verified execution output available on the canonical page.
```

## Related Blueprints on Promptally
- [Agent Skill to Knowledge Ops](https://app.promptally.dev/p/skill-knowledge-ops)
- [Agent Skill to Content Hash Cache Pattern](https://app.promptally.dev/p/skill-content-hash-cache-pattern)
- [Agent Skill to Ck](https://app.promptally.dev/p/skill-ck)
- [Agent Skill to Swift Protocol Di Testing](https://app.promptally.dev/p/skill-swift-protocol-di-testing)
- [Agent Skill to Prisma Patterns](https://app.promptally.dev/p/skill-prisma-patterns)
- [Agent Skill to Agentic Engineering](https://app.promptally.dev/p/skill-agentic-engineering)
- [Agent Skill to Python Patterns](https://app.promptally.dev/p/skill-python-patterns)
- [Agent Skill to Docs Governance](https://app.promptally.dev/p/skill-docs-governance)