init-project-light

init-project-light is a skill for Claude Code from flonat/flonat-research. It costs 51 tokens per session (1,028 once invoked), scanned A, original, MIT.

A lightweight project starter for small, non-research workspaces such as proposals, applications, meeting notes, or short-lived document collections.

In plain words
What is it for?
Use it to scan and organise a modest folder, understand its contents, and create a minimal project structure.
Why use it?
It gives small projects enough structure and context for ongoing AI collaboration without requiring a full research setup.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths; mentions CLAUDE.md; names the AskUserQuestion tool.

Good fit Use it to scan and organise a modest folder, understand its contents, and create a minimal project structure.

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Install with agentmods
npx agentmods add skills/flonat/flonat-research/init-project-light
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 flonat/flonat-research --skill init-project-light
Clone the repo
git clone --depth 1 https://github.com/flonat/flonat-research

Made for: Claude Code.

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.

agentmods badge for init-project-light

README.md
[![agentmods](https://agentmods.dev/badge/skills/flonat/flonat-research/init-project-light.svg)](https://agentmods.dev/skills/flonat/flonat-research/init-project-light)
Your own site
<a href="https://agentmods.dev/skills/flonat/flonat-research/init-project-light"><img src="https://agentmods.dev/badge/skills/flonat/flonat-research/init-project-light.svg" alt="Measured on agentmods" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,028 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00051 $0.01028
Opus 5 $0.00026 $0.00514
Sonnet 5 $0.00010 $0.00206
Haiku 4.5 $0.00005 $0.00103

Measured 4d ago against content hash f519e976e9de, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

init-project-light 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 4d 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/init-project-light/SKILL.md · 140 lines

How it starts

The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Init Project Light

Lightweight project bootstrapper for small projects that do not need a full research-project scaffold.

When to Use

  • Small document collections (proposals, applications, meeting notes)
  • One-off or short-lived projects
  • Projects without a code pipeline or Overleaf link
  • When the user says "set up something light", "quick init", "organise this folder"
  • Any project that does not warrant the installation's full research-project initializer

When NOT to Use — Escalate to a full research-project initializer

  • Research papers targeting a journal or conference
  • Projects with code, data, or computational pipelines
  • Anything that needs Overleaf, git, or a vault atlas entry

Phase 1: Scan

Read everything already in the directory before asking questions.

  1. List all files and folders (excluding .claude/, .DS_Store)
  2. Read text files (.md, .tex, .bib, .txt) to understand content — respect file size (skip files > 500 lines, note them)
  3. Build a mental model: what is this project, what's the main output, who's involved?

Goal: Minimise interview questions by inferring answers from existing files.


Phase 2: Interview (2-3 questions max)

Use the available structured-question mechanism. Only ask what you couldn't infer from Phase 1.

Pick from these (skip any you can already answer):

  1. What is this project? — one sentence (e.g., "PhD research proposal for [University]")
  2. What's the main output? — document, application, collection of notes, etc.
  3. Anyone else involved? — names and roles if relevant

If Phase 1 gave you enough, confirm your understanding instead of asking:

"From the files, this looks like [X]. The main output is [Y]. Correct?"


Phase 3: Create CLAUDE.md

Follow the lean-guidance-files rule. Include only:

  1. Project overview — 2-3 sentences from interview/scan
  2. People — if collaborators/supervisors exist
  3. Directory structure — compact tree of what exists
  4. Conventions — only if detectable (e.g., LaTeX compilation, bibliography style)
  5. Key context — anything a future session needs to know immediately

Read the full file on GitHub · 140 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.

  1. 4d ago First seen · 140 lines · 51 tokens per session scan A f519e976e9de

Subscribe to this mod's changes

init-project-light is a skill published in the GitHub repository flonat/flonat-research (132 stars, last pushed 13d ago), licensed MIT. It adds 51 tokens to every session and 1,028 once invoked, about $0.0003 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 2026-09-03.

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