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/j4flmao/agent-skillsWrote 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/rules/j4flmao/agent-skills/coding-guidelines)<a href="https://agentmods.dev/rules/j4flmao/agent-skills/coding-guidelines"><img src="https://agentmods.dev/badge/rules/j4flmao/agent-skills/coding-guidelines/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/rules/j4flmao/agent-skills/coding-guidelines"><img src="https://agentmods.dev/badge/rules/j4flmao/agent-skills/coding-guidelines.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 | $0.00020 | $0.00363 |
| Opus 5.5 | $0.00008 | $0.00145 |
| Sonnet 5.5 | $0.00004 | $0.00073 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
coding-guidelines 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 1mo 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.
What it actually says
Agentic Coding Guidelines
Cursor/AI MUST follow these principles when writing or refactoring code.
1. NO Placeholders or TODOs
- Rule: Never generate code containing
// TODO: Implement this laterorpassunless explicitly instructed to create a stub. - Why: AI is here to write the code, not to leave homework for the user. If you lack context, ASK the user or write the complete implementation based on best assumptions.
2. Fail Fast & Loud
- Rule: Never swallow exceptions. Do not return
nullor-1when a critical error occurs. Throw an exception immediately. - Example (Bad):
if (!file) return null; - Example (Good):
if (!file) throw new FileNotFoundException("Failed to load config.json");
3. Structured and Contextual Logging
- Rule: Whenever you write an error handling block, include contextual logging.
- Example: Do not log
"Error parsing user". Log"Failed to parse user payload for userId: {userId}. Error: {errorMsg}".
4. Single Responsibility Principle (SRP)
- Rule: If a function exceeds 30-40 lines of logic, aggressively break it down into smaller, testable private helper methods. Do not create God Functions.
5. Security by Default
- Rule: Never hardcode credentials, secrets, or API keys in the generated code. Always use environment variables (e.g.,
process.env.API_KEY).
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.
- 1mo ago First seen · 28 lines · 20 tokens per session scan A ce93e11c1d46
coding-guidelines is a cursor rule published in the GitHub repository j4flmao/agent-skills (33 stars, last pushed 10d ago), licensed MIT. It adds 20 tokens to every session and 363 once invoked, about $0.0001 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 2026-09-05.
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dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
prefer-assertions-over-defensive-checks
Prefer assertions over defensive checks when data is guaranteed to be valid.
prefer-direct-imports-over-module-mocks
Prefer extracting a testable core over vi.mock / vi.resetModules when unit tests need to reach production logic entangled with config, env, or singletons.
config-validation-and-normalization
Config validation and normalization responsibilities (defineConfig normalizes, the orm section schema validates and resolves paths, the loader reports per-section diagnostics).