infer-conventions

A set of instructions for examining a Laravel application's existing code and recording its real coding conventions as shared rules. Laravel is a PHP framework for building web applications.

In plain words
What is it for?
Use it to detect and document project conventions, create or expand .ai/rules, and resolve conflicting patterns across a Laravel codebase.
Why use it?
It reduces inconsistent code by showing other agents how this particular project is already written. It records current practice instead of imposing a new style.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/ohnotnow/devnotes/infer-conventions
Any agent
npx skills add ohnotnow/devnotes --skill infer-conventions
Clone the repo
git clone --depth 1 https://github.com/ohnotnow/devnotes

Made for: Claude Code, Codex.

Per session 168 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,738 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00168 $0.02738
Opus 5 $0.00084 $0.01369
Sonnet 5 $0.00034 $0.00548
Haiku 4.5 $0.00017 $0.00274

Measured yesterday against content hash 5dc970c99dd6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

infer-conventions 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 yesterday.

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.

.agents/skills/infer-conventions/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Infer Conventions

Learn how this application writes Laravel, then record what you learn as durable, path-scoped rules other agents will read. You are documenting reality, not improving it.

Ground Rules (read before you start)

  • Consistency first. The codebase's majority style is the convention. Never judge it, never propose a "better" pattern, never record what the code should do. If the app validates inline everywhere, that is the rule, even if Form Requests would be nicer.
  • Skip what an active tool produces, keep what a tool would fight. Inspect the project's Pint and Rector configuration first; a Rector transformation is tooling-owned only when its package and relevant rule or set are installed and enabled. Active tools may rewrite code toward one canonical form: $casts to casts(), $fillable to attributes, magic accessors to the Attribute class, pipe-string rules to arrays, $signature to #[Signature], named migrations to anonymous, and many more. When the app already sits at an active tool's target form, the tool owns it, so record nothing. But when the app deliberately holds a form an active tool would refactor away, such as legacy getXxxAttribute() accessors the Attribute class would replace, no tool can reproduce that choice and an agent defaults the other way. That against-the-grain hold is exactly what to record.
  • Record decisions, not defaults. A consistent pattern earns a rule only when it reflects a choice: the app took one valid option where the framework or common practice offered others, or the pattern would surprise a competent agent. Framework defaults steer nothing, so skip them: anonymous migrations, $signature commands, ShouldQueue jobs, casts() on Laravel 11+, named routes, Rule objects in app/Rules, and Mail::fake() or Bus::fake() to isolate framework services. A real fork is not enough on its own. Weigh the side the app took, and record only the side an agent would not reach for by itself: inline closures everywhere, legacy accessors, a bespoke query layer. Watch for the false fork too. "No Mockery" next to facade fakes is not a choice against Mockery, because they double different things. The test for every candidate: without this rule, would the next agent plausibly write it differently? Only "yes" earns a rule.
  • Architecture choices are the gold. Record presence and deliberate absence. The structural pattern the app commits to is the highest-signal convention and the one no tool can decide: Action classes and how they are invoked (handle / execute / __invoke), service objects, dedicated query objects exposing builder(), DTOs (spatie/laravel-data vs readonly classes), Form Request validation vs inline, an events and listeners spine vs direct calls, and domain or module folders. Also record a consistent non-pattern, such as "query Eloquent directly in controllers, no repository layer", so the next agent matches the app's altitude instead of over-engineering.
  • Never duplicate .ai/rules. Read .ai/rules/index.md and the area files before the sweep. A dimension already covered there is marked done and skipped.
  • Evidence or silence. A convention needs at least 3 consistent examples and no meaningful rival to become a candidate. Every Step 1 verdict applies this bar.
  • The recorded rule states the convention, nothing else. One or two imperative lines: this project does X, so do X here. Keep detection evidence out. No counts, ratios, current usage, file lists, or example paths, because that is proof for the confirm step, not part of the rule. One short syntax fragment at most, and point to search-docs for API details.

Read the full file on GitHub · 105 lines

Files

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.

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. yesterday First seen · 105 lines · 168 tokens per session scan A 5dc970c99dd6

Subscribe to this mod's changes

infer-conventions is a skill published in the GitHub repository ohnotnow/devnotes (0 stars, last pushed yesterday), licensed MIT. It adds 168 tokens to every session and 2,738 once invoked, about $0.0008 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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