What is first-plan-lens-generic?

A fallback project-analysis lens for unusual, rare, or mixed programming-language projects. It identifies likely languages and project structure from file extensions, manifests, and common code patterns.

Use it to find likely entry points, important top-level folders, naming patterns, error-handling styles, and probable frameworks in languages such as Elixir, Haskell, OCaml, Zig, or mixed projects.

It provides a basic project overview when no specialised language lens recognises the codebase. Its lower confidence reflects that uncertainty.

first-plan-lens-generic — Skill for Claude Code by vynazevedo

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.

Any agent

npx skills add vynazevedo/first-plan --skill lens-generic

Clone the repo

git clone --depth 1 https://github.com/vynazevedo/first-plan

Made for: Claude Code.

Or install fp, the plugin that ships this one along with the rest of its 19 skills, 19 commands, 4 agents, 1 hook.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/vynazevedo/first-plan/lens-generic.svg)](https://agentmods.dev/skills/vynazevedo/first-plan/lens-generic)

Your own site

<a href="https://agentmods.dev/skills/vynazevedo/first-plan/lens-generic"><img src="https://agentmods.dev/badge/skills/vynazevedo/first-plan/lens-generic.svg" alt="Measured on agentmods" height="20"></a>

Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 669 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00072	$0.00669
Opus 5	$0.00036	$0.00334
Sonnet 5	$0.00014	$0.00134
Haiku 4.5	$0.00007	$0.00067

Measured 8d ago against content hash 9eb74f6feee2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

first-plan-lens-generic 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 8d 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.

skills/lens-generic/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lens Generic

Fallback aplicado quando nenhuma lens específica casa. Confidence base é menor (max 0.7) para refletir incerteza.

Heurística por extensão

Extensão	Stack provável
`.ex` / `.exs`	Elixir
`.erl` / `.hrl`	Erlang
`.hs`	Haskell
`.ml` / `.mli`	OCaml
`.zig`	Zig
`.nim`	Nim
`.cr`	Crystal
`.jl`	Julia
`.lua`	Lua
`.r` / `.R`	R
`.scala` / `.sbt`	Scala
`.clj` / `.cljs`	Clojure
`.fs` / `.fsi`	F#
`.kt` (sem build.gradle)	Kotlin script
`.dart` (sem pubspec)	Dart standalone

Algoritmo

Detectar linguagem dominante por extensão majoritária no projeto
Identificar manifesto se houver (Mix.exs, dune-project, stack.yaml, Project.toml, etc)
Inferir framework dominante por imports/uses comuns na linguagem
Aplicar contrato comum com confidence reduzida

Contrato comum (mesmo das lenses específicas)

Mesmo sem conhecer detalhes da linguagem, extrair:

Estrutura

Entry point (main file ou bin/)
Pastas top-level com >5 arquivos
Padrões de naming de arquivos

Errors

Como erros são representados? (excepções, Result, tagged tuples, etc)
Há padrão consistente?

Testing

Há pasta de testes?
Qual o framework (procurar em deps/manifest)?

Logging

Há lib de log identificável?

DI / composition

Onde objetos / processos são compostos?

Observabilidade

Há instrumentação visível?

Confidence

Max 0.7 (vs 0.9 das lenses específicas)
Min 0.4 quando estrutura é caótica ou identificação fica ambígua

Quando criar lens específica

Se o usuário rodar Discovery múltiplas vezes em projetos da mesma stack rara, vale criar lens-<stack>/SKILL.md específica. Sinais:

Confidence consistentemente baixa em projetos da mesma stack
Padrões idiomáticos não capturados
Findings importantes ficando sub-representados

Output

Padrão, com nota explícita em cada arquivo do .first-plan/:

Esta seção foi gerada via lens-generic (fallback). Confidence reduzida. Considere criar lens específica para esta stack se o projeto for recorrente.

Read the full file on GitHub · 80 lines

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.

8d ago First seen · 80 lines · 72 tokens per session scan A 9eb74f6feee2

Subscribe to this mod's changes

first-plan-lens-generic is a skill published in the GitHub repository vynazevedo/first-plan (23 stars, last pushed 14d ago), licensed MIT. It adds 72 tokens to every session and 669 once invoked, about $0.0004 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 2026-08-30.

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