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humanized-social-publisher: Instructions file for Codex

AGENTS.md

humanized-social-publisher AGENTS.md is an instructions file for Codex, OpenCode from lincwang123-bot/humanized-social-publisher. It costs 258 tokens per session, scanned A, original, MIT.

Repository instructions for configuring and safely running an AI tool that publishes content to social platforms. They define setup, account checks, content validation, and safety rules.

In plain words
What is it for?
Use them when setting up accounts, checking the system, logging in, validating posts, running dry runs, and preparing Git changes.
Why use it?
They reduce the risk of posting to the wrong account, exposing private profile data, or bypassing platform security checks.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is lincwang123-bot/humanized-social-publisher's own configuration. It tells Codex and OpenCode how to work on humanized-social-publisher itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything humanized-social-publisher configures →

not rated 46repo 2mo ago A scan 258 tokens original MIT
View source ↗ lincwang123-bot/humanized-social-publisher
Reuse

Borrowing it

Nothing to install: this file belongs to lincwang123-bot/humanized-social-publisher. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/lincwang123-bot/humanized-social-publisher/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/lincwang123-bot/humanized-social-publisher

Made for: Codex, OpenCode.

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 humanized-social-publisher AGENTS.md

README.md
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Your own site
<a href="https://agentmods.dev/instructions/lincwang123-bot/humanized-social-publisher/agents-md"><img src="https://agentmods.dev/badge/instructions/lincwang123-bot/humanized-social-publisher/agents-md/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.

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Your own site · 80×15
<a href="https://agentmods.dev/instructions/lincwang123-bot/humanized-social-publisher/agents-md"><img src="https://agentmods.dev/badge/instructions/lincwang123-bot/humanized-social-publisher/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 258 This file is loaded in full into every session.
When invoked 258 The same file — it is already loaded in full.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00258 $0.00258
Opus 5.5 $0.00103 $0.00103
Sonnet 5.5 $0.00052 $0.00052
Haiku 4.5 $0.00026 $0.00026

Measured 2mo ago against content hash 3f4397c5194f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

humanized-social-publisher AGENTS.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 2mo 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.

AGENTS.md · 19 lines

What it actually says

Agent onboarding contract

This repository is designed to be configured with an AI coding agent.

When a user asks you to set up this project:

  1. Read README.md, SECURITY.md, and config.example.yaml.
  2. Run ./run.sh setup and let the user choose platforms, account aliases, local content directory, timezone, and schedule slots.
  3. Never read, print, copy, commit, upload, or summarize files under storage/profiles/.
  4. Run ./run.sh doctor before opening any platform.
  5. Run one login command per account: ./run.sh login PLATFORM --account ACCOUNT_KEY.
  6. Keep safety.require_manual_confirm: true for the first successful dry run on every account.
  7. Use identity_hint where the creator page exposes a stable nickname or account ID. Stop on mismatch; never guess the target account.
  8. Validate the content package with ./run.sh inspect --post PATH before queueing it.
  9. Do not bypass CAPTCHA, SMS verification, device checks, regional restrictions, rate limits, or platform permissions.
  10. Before any Git operation, run ./run.sh sanitize-check.

Account profiles and config.yaml are local state, not project assets.

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. 2mo ago First seen · 19 lines · 258 tokens per session scan A 3f4397c5194f

Subscribe to this mod's changes

humanized-social-publisher AGENTS.md is an instructions file published in the GitHub repository lincwang123-bot/humanized-social-publisher (46 stars, last pushed 2mo ago), licensed MIT. It adds 258 tokens to every session, about $0.0010 per session on Opus 5.5. 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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