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 hnikoloski/imlazy --skill imlazy-standardsgit clone --depth 1 https://github.com/hnikoloski/imlazyWrote 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/hnikoloski/imlazy/imlazy-standards)<a href="https://agentmods.dev/skills/hnikoloski/imlazy/imlazy-standards"><img src="https://agentmods.dev/badge/skills/hnikoloski/imlazy/imlazy-standards/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/hnikoloski/imlazy/imlazy-standards"><img src="https://agentmods.dev/badge/skills/hnikoloski/imlazy/imlazy-standards.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 | $0.00036 | $0.03098 |
| Opus 5 | $0.00018 | $0.01549 |
| Sonnet 5 | $0.00007 | $0.00620 |
| Haiku 4.5 | $0.00004 | $0.00310 |
Grade A, and why
imlazy-standards scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
const response = await fetch(url) This is a copy
88% identical to coding-standards — 11 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 549 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Coding Standards & Best Practices
Baseline coding conventions applicable across projects.
This skill is the shared floor, not the detailed framework playbook.
- Use
imlazy-frontendfor React, state, forms, rendering, and UI architecture. - Use
imlazy-backendorimlazy-api-designfor repository/service layers, endpoint design, validation, and server-specific concerns.
When to Activate
- Starting a new project or module
- Reviewing code for quality and maintainability
- Refactoring existing code to follow conventions
- Enforcing naming, formatting, or structural consistency
- Setting up linting, formatting, or type-checking rules
- Onboarding new contributors to coding conventions
Scope Boundaries
Activate this skill for:
- descriptive naming
- immutability defaults
- readability, KISS, DRY, and YAGNI enforcement
- error-handling expectations and code-smell review
Do not use this skill as the primary source for:
- React composition, hooks, or rendering patterns
- backend architecture, API design, or database layering
- domain-specific framework guidance when a narrower skill already exists
Code Quality Principles
1. Readability First
- Code is read more than written
- Clear variable and function names
- Self-documenting code preferred over comments
- Consistent formatting
2. KISS (Keep It Simple, Stupid)
- Simplest solution that works
- Avoid over-engineering
- No premature optimization
- Easy to understand > clever code
3. DRY (Don't Repeat Yourself)
- Extract common logic into functions
- Create reusable components
- Share utilities across modules
- Avoid copy-paste programming
4. YAGNI (You Aren't Gonna Need It)
- Don't build features before they're needed
- Avoid speculative generality
- Add complexity only when required
- Start simple, refactor when needed
TypeScript/JavaScript Standards
Variable Naming
// PASS: GOOD: Descriptive names
const marketSearchQuery = 'election'
const isUserAuthenticated = true
const totalRevenue = 1000
// FAIL: BAD: Unclear names
const q = 'election'
const flag = true
const x = 1000
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.
- 11d ago First seen · 549 lines · 36 tokens per session scan A 2d1b0e5624c2
imlazy-standards is a skill published in the GitHub repository hnikoloski/imlazy (2 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 3,098 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 88% identical to coding-standards, differing in 11 lines, and is treated as a copy.
Other skills, from other repositories
code-review-excellence
This skill should be used when the user asks to review a diff or pull request, write review comments, audit code quality, establish review standards, or improve how a team performs code review.
tfx-prune
A cleanup workflow that asks three AI coding assistants to independently identify unnecessary code, then removes only issues they agree are unwanted. It checks for duplication, needless abstractions, excessive error handling, and similar readability problems.
tfx-review
A code-review workflow that asks several command-line AI reviewers to inspect changes independently, then reports issues that at least two reviewers agree on. TDD means test-driven development, where tests are written to guide implementation, but this add-on is for reviewing code rather than defining TDD.
tfx-analysis
A code and architecture analysis workflow that can ask several command-line agents to examine a project from different viewpoints, including architecture, security, performance, user experience, and documentation.
do-it-review
Use to assess requirements and implementation quality independently, or to resolve a batch of review findings.
done
Run the closeout ritual before handing back non-trivial work; full verification, revert-probe honesty, independent review, and scope reporting. Use before declaring completion, opening a PR, wrapping up a change, or "ปิดงาน".