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.
npx skills add jonathan-vella/apex-accelerator --skill apex-golden-principlesgit clone --depth 1 https://github.com/jonathan-vella/apex-acceleratorWrote 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/skills/jonathan-vella/apex-accelerator/apex-golden-principles)<a href="https://agentmods.dev/skills/jonathan-vella/apex-accelerator/apex-golden-principles"><img src="https://agentmods.dev/badge/skills/jonathan-vella/apex-accelerator/apex-golden-principles/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/skills/jonathan-vella/apex-accelerator/apex-golden-principles"><img src="https://agentmods.dev/badge/skills/jonathan-vella/apex-accelerator/apex-golden-principles.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 | $0.00091 | $0.00719 |
| Opus 5.5 | $0.00036 | $0.00288 |
| Sonnet 5.5 | $0.00018 | $0.00144 |
| Haiku 4.5 | $0.00009 | $0.00072 |
Grade A, and why
apex-golden-principles 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 23d 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Golden Principles
These principles govern how every agent operates in this repository. They are adapted from the Harness Engineering philosophy for agent-driven infrastructure development.
Rules
The canonical rules and preservation map live in Principle Details. This index is a summary, not a competing policy source.
- Repository Is the System of Record — all context lives in-repo
- Map, Not Manual — instructions point to deeper sources
- Enforce Invariants, Not Implementations — set boundaries, allow autonomous expression
- Parse at Boundaries — validate inputs and outputs at module edges
- AVM-First, Security Baseline Always — prefer Azure Verified Modules + non-negotiable security baseline
- Golden Path Pattern — prefer shared utilities over hand-rolled helpers
- Human Taste Gets Encoded — turn reviewed feedback into durable guidance
- Context Is Scarce — reuse current context and recover missing required evidence
- Progressive Disclosure — load detail when needed without hiding essential rules
- Mechanical Enforcement Over Documentation — validate deterministic invariants
- Composable Workflows — bounded steps with explicit ownership and prerequisites
- Human Approval at Critical Gates — approvals remain evidence-bound and human-controlled
- Adversarial Review — independent review follows the current graph and role contracts
- Continuous Lessons — capture process observations and feed them back into the system
Steps
Applying the principles to a new agent or skill:
- Read the canonical principles before applying this decision framework
- For each design decision, ask which principles apply (typically 2–3 will dominate)
- Run the per-principle test listed in Principle Details
- Where a principle conflicts with an implementation choice, change the implementation — principles are non-negotiable
- Document proposed deviations in an ADR; an ADR does not authorize relaxing safety or approval gates
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 23d ago First seen · 61 lines · 91 tokens per session scan A b081cf5d0741
apex-golden-principles is a skill published in the GitHub repository jonathan-vella/apex-accelerator (50 stars, last pushed yesterday), licensed MIT. It adds 91 tokens to every session and 719 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-23.
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