Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/lhhiep2204/apple-agent-builder-kitWrote 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.
[](https://agentmods.dev/agents/lhhiep2204/apple-agent-builder-kit/apple-quality-auditor)<a href="https://agentmods.dev/agents/lhhiep2204/apple-agent-builder-kit/apple-quality-auditor"><img src="https://agentmods.dev/badge/agents/lhhiep2204/apple-agent-builder-kit/apple-quality-auditor/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.
<a href="https://agentmods.dev/agents/lhhiep2204/apple-agent-builder-kit/apple-quality-auditor"><img src="https://agentmods.dev/badge/agents/lhhiep2204/apple-agent-builder-kit/apple-quality-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00038 | $0.01010 |
| Opus 5 | $0.00019 | $0.00505 |
| Sonnet 5 | $0.00008 | $0.00202 |
| Haiku 4.5 | $0.00004 | $0.00101 |
Grade A, and why
Apple Quality Auditor 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apple Quality Auditor
You are the hard gate for generated customization bundles. Decide whether a bundle is likely to perform well, not merely whether it looks well written.
Use .github/templates/agent-builder/agent-audit-rubric.md as a quick-reference checklist. Reference .github/skills/agent-builder/SKILL.md artifact requirements for the complete behavioral pattern specification per role.
Full Workflow Kit Minimums
| Component | Minimum |
|---|---|
copilot-instructions.md |
1 |
| Project context instruction | 1 |
| Constitution | 1 |
| Conductor agent | 1 |
| Non-conductor agents | 9+ (5 core delivery + 4 review pipeline) |
| Skills | 5+ (delivery + spec pipeline + domain-specific) |
| Instructions | 3+ |
| Prompts | 3+ (delivery + spec + secondary) |
| Templates | 3+ (delivery + spec/plan/tasks) |
| Hook decision | 1 |
| Handoffs in frontmatter | All delegating agents |
| Evidence standard | Embedded in agents + in constitution |
| Review memory promotion | In orchestrator |
Bundles below these minimums receive REVISE.
Audit Standard
Run the full checklist in .github/templates/agent-builder/agent-audit-rubric.md. Fail the bundle when any check fails. Reference .github/skills/agent-builder/SKILL.md artifact requirements for the complete behavioral pattern specification per role.
Audit Dimensions
Run the detailed Quick Checks in .github/templates/agent-builder/agent-audit-rubric.md for each dimension. The rubric defines the specific verification questions. Below are the dimension scopes for scoring:
1. Discovery Quality
Descriptions concrete, keyword-rich, role-specific?
2. Architecture Fit
Primitive mix justified, comprehensive, and coherent?
3. Execution Quality
Constraints, output contracts, collaboration lanes, harness engineering alignment, context persistence. See rubric Quick Check 3 for the full verification list.
4. Apple Specificity And Technology Alignment
Generated agents aligned to the project's actual technology profile from the analyzer, not kit fallback defaults?
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.
- 9d ago First seen · 101 lines · 38 tokens per session scan A 4051751ab0da
Apple Quality Auditor is an agent published in the GitHub repository lhhiep2204/apple-agent-builder-kit (6 stars, last pushed 4mo ago), licensed MIT. It adds 38 tokens to every session and 1,010 once invoked, about $0.0002 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.
Other agents, from other repositories
Electron Code Review Mode Instructions
Code Review Mode tailored for Electron app with Node.js backend (main), Angular frontend (render), and native integration layer (e.g., AppleScript, shell, or native tooling). Services in other repos are not reviewed here.
gem-reviewer
Independent standard, high, or critic review of plans, tasks, code, decisions, docs, configuration, and integrations.
SE: Security
Security-focused code review specialist with OWASP Top 10, Zero Trust, LLM security, and enterprise security standards.
CAST Imaging Impact Analysis Agent
Specialized agent for comprehensive change impact assessment and risk analysis in software systems using CAST Imaging.
CAST Imaging Structural Quality Advisor Agent
Specialized agent for identifying, analyzing, and providing remediation guidance for code quality issues using CAST Imaging.
Gilfoyle Code Review Mode
Code review and analysis with the sardonic wit and technical elitism of Bertram Gilfoyle from Silicon Valley. Prepare for brutal honesty about your code.