JumpStart-AutoNav: Skill for Claude Code

.github/skills/quality-gates/SKILL.md

quality-gates is a skill for Claude Code, Codex from CGSOG-JumpStarts/JumpStart-AutoNav. It costs 68 tokens per session (1,254 once invoked), scanned A, original, MIT.

A set of automated checks for the Jump Start framework, including secret scanning, type checking, smoke tests, and user-acceptance-test coverage. It checks code beyond ordinary unit tests.

In plain words
What is it for?
Use it to scan source and configuration files for secrets, enforce type safety, run smoke tests, and compare user-acceptance coverage with the project's testing layers.
Why use it?
It helps catch leaked credentials, type errors, broken basic flows, and missing user-focused test coverage before code is committed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

This is CGSOG-JumpStarts/JumpStart-AutoNav's own configuration. It tells Claude Code and Codex how to work on JumpStart-AutoNav itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything JumpStart-AutoNav configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is echo '{"files":["src/config.js"],"root":"."}' | node bin/lib/secret-scanner.js.

Reuse

Borrowing it

Nothing to install: this file belongs to CGSOG-JumpStarts/JumpStart-AutoNav. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/CGSOG-JumpStarts/JumpStart-AutoNav/main/.github/skills/quality-gates/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/CGSOG-JumpStarts/JumpStart-AutoNav

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for quality-gates

README.md
[![agentmods](https://agentmods.dev/badge/skills/cgsog-jumpstarts/jumpstart-autonav/quality-gates/github.svg)](https://agentmods.dev/skills/cgsog-jumpstarts/jumpstart-autonav/quality-gates)
Your own site
<a href="https://agentmods.dev/skills/cgsog-jumpstarts/jumpstart-autonav/quality-gates"><img src="https://agentmods.dev/badge/skills/cgsog-jumpstarts/jumpstart-autonav/quality-gates/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for quality-gates

Your own site · 80×15
<a href="https://agentmods.dev/skills/cgsog-jumpstarts/jumpstart-autonav/quality-gates"><img src="https://agentmods.dev/badge/skills/cgsog-jumpstarts/jumpstart-autonav/quality-gates.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,254 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00068 $0.01254
Opus 5 $0.00034 $0.00627
Sonnet 5 $0.00014 $0.00251
Haiku 4.5 $0.00007 $0.00125

Measured 11d ago against content hash 237120e0ac97, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

quality-gates scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.github/skills/quality-gates/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Quality Gates Skill

This skill provides four automated testing strategies that extend the Jump Start framework's quality assurance capabilities. Each strategy addresses a specific gap in the framework's current testing layers.

Tools

1. Secret Scanner (bin/lib/secret-scanner.js)

Layer: Pre-commit / Layer 1 (Schema & Formatting) Trigger: After agent writes any file to src/, config files, or .env files Purpose: Prevents accidental commitment of API keys, tokens, passwords, and private keys

echo '{"files":["src/config.js"],"root":"."}' | node bin/lib/secret-scanner.js

When to use:

  • Before every commit during Phase 4 implementation
  • After generating configuration files
  • When processing user-provided credentials or API keys
  • As part of CI pipeline quality gates

Input: JSON with files (array of paths), root (project root), config (optional: custom_patterns, allowlist)

Output: JSON with pass (boolean), findings (array of detected secrets with redacted values), critical/high counts

Built-in detection patterns: AWS keys, GitHub tokens, private key headers, API key assignments, password assignments, database connection strings, Slack tokens, Bearer tokens

2. Type Checker (bin/lib/type-checker.js)

Layer: Layer 1 extension (Schema & Formatting) Trigger: After agent writes TypeScript or Python files to src/ Purpose: Catches interface mismatches and type errors before runtime

echo '{"files":["src/index.ts"],"root":"."}' | node bin/lib/type-checker.js

When to use:

  • After writing or modifying TypeScript files
  • After writing or modifying typed Python files (mypy/pyright)
  • Before marking a task as complete in TODO.md
  • As part of milestone verification

Auto-detection: Finds tsconfig.json, jsconfig.json, pyrightconfig.json, mypy.ini, or [tool.mypy]/[tool.pyright] in pyproject.toml

Output: JSON with pass (boolean), findings (array of type errors with file, line, code, severity), checker name

Read the full file on GitHub · 127 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 127 lines · 68 tokens per session scan A 237120e0ac97

Subscribe to this mod's changes

quality-gates is a skill published in the GitHub repository CGSOG-JumpStarts/JumpStart-AutoNav (10 stars, last pushed 4mo ago), licensed MIT. It adds 68 tokens to every session and 1,254 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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