social-auto-engine CLAUDE.md

social-auto-engine CLAUDE.md is an instructions file for coding agents from Freespirits/social-auto-engine. It costs 2,080 tokens per session, scanned A, original, MIT.

Coding instructions for the Freespirits/social-auto-engine project, combining general guidance for AI coding agents with project-specific rules. The guidance emphasizes stating assumptions, choosing simple solutions, and making small, focused edits.

In plain words
What is it for?
Use it when planning or implementing changes in this repository, particularly when requirements are ambiguous or a fix could spread across many files.
Why use it?
It helps prevent an agent from guessing through unclear requirements, adding unnecessary code, or changing unrelated parts of the project.

Instructions file

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 instructions/freespirits/social-auto-engine/claude-md
Clone the repo
git clone --depth 1 https://github.com/Freespirits/social-auto-engine

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 social-auto-engine CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/freespirits/social-auto-engine/claude-md.svg)](https://agentmods.dev/instructions/freespirits/social-auto-engine/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/freespirits/social-auto-engine/claude-md"><img src="https://agentmods.dev/badge/instructions/freespirits/social-auto-engine/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,080 This file is loaded in full into every session.
When invoked 2,080 The same file — it is already loaded in full.
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 $0.02080 $0.02080
Opus 5 $0.01040 $0.01040
Sonnet 5 $0.00416 $0.00416
Haiku 4.5 $0.00208 $0.00208

Measured 5d ago against content hash 9fae8c6bc341, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

social-auto-engine CLAUDE.md 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 5d 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.

CLAUDE.md · 175 lines

How it starts

The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

Behavioural and project-specific guidance for any Claude Code session working on social-auto-engine.

This file has two parts. Part A (sections 1-4) is the widely-circulated behavioural CLAUDE.md derived from Andrej Karpathy's observations on common LLM coding pitfalls, published by forrestchang at github.com/forrestchang/andrej-karpathy-skills (112k+ stars). It is reproduced here verbatim as the universal behavioural layer.

Part B (sections 5+) is the project-specific layer for social-auto-engine.


Part A — Universal behavioural guidelines

Behavioral guidelines to reduce common LLM coding mistakes. Merge with project-specific instructions as needed.

Tradeoff: These guidelines bias toward caution over speed. For trivial tasks, use judgment.

1. Think Before Coding

Don't assume. Don't hide confusion. Surface tradeoffs.

Before implementing:

  • State your assumptions explicitly. If uncertain, ask.
  • If multiple interpretations exist, present them - don't pick silently.
  • If a simpler approach exists, say so. Push back when warranted.
  • If something is unclear, stop. Name what's confusing. Ask.

2. Simplicity First

Minimum code that solves the problem. Nothing speculative.

  • No features beyond what was asked.
  • No abstractions for single-use code.
  • No "flexibility" or "configurability" that wasn't requested.
  • No error handling for impossible scenarios.
  • If you write 200 lines and it could be 50, rewrite it.

Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.

3. Surgical Changes

Touch only what you must. Clean up only your own mess.

When editing existing code:

  • Don't "improve" adjacent code, comments, or formatting.
  • Don't refactor things that aren't broken.
  • Match existing style, even if you'd do it differently.
  • If you notice unrelated dead code, mention it - don't delete it.

When your changes create orphans:

  • Remove imports/variables/functions that YOUR changes made unused.
  • Don't remove pre-existing dead code unless asked.

Read the full file on GitHub · 175 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. 5d ago First seen · 175 lines · 2,080 tokens per session scan A 9fae8c6bc341

Subscribe to this mod's changes

social-auto-engine CLAUDE.md is an instructions file published in the GitHub repository Freespirits/social-auto-engine (23 stars, last pushed 1mo ago), licensed MIT. It adds 2,080 tokens to every session, about $0.0104 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.