list-affitor-skill

list-affitor-skill is a skill for Claude Code, Codex from Gingg7260/affiliate-skills. It costs 126 tokens per session (4,086 once invoked), scanned A, original, MIT.

A skill for turning a repeatable AI prompt or workflow into a documented skill for list.affitor.com. A skill is a reusable set of instructions that an AI agent can follow.

In plain words
What is it for?
Use it when creating a new skill, writing a SKILL.md file, converting a prompt into a workflow, or preparing a skill listing for the directory.
Why use it?
It gives a defined format for recording activation conditions, inputs, steps, outputs, error handling, and examples. This makes a workflow easier to publish and reuse.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: mentions Claude Code; built for openclaw; mentions Gemini CLI.

Good fit Use it when creating a new skill, writing a SKILL.md file, converting a prompt into a workflow, or preparing a skill listing for the directory.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gingg7260/affiliate-skills/list-affitor-skill
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 Gingg7260/affiliate-skills --skill list-affitor-skill
Clone the repo
git clone --depth 1 https://github.com/Gingg7260/affiliate-skills

Made for: Claude Code, Codex.

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 list-affitor-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/gingg7260/affiliate-skills/list-affitor-skill/github.svg)](https://agentmods.dev/skills/gingg7260/affiliate-skills/list-affitor-skill)
Your own site
<a href="https://agentmods.dev/skills/gingg7260/affiliate-skills/list-affitor-skill"><img src="https://agentmods.dev/badge/skills/gingg7260/affiliate-skills/list-affitor-skill/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.

agentmods 80×15 button for list-affitor-skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/gingg7260/affiliate-skills/list-affitor-skill"><img src="https://agentmods.dev/badge/skills/gingg7260/affiliate-skills/list-affitor-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,086 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Rogue Agent · line 9
    Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.
    Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 $0.00126 $0.04086
Opus 5 $0.00063 $0.02043
Sonnet 5 $0.00025 $0.00817
Haiku 4.5 $0.00013 $0.00409

Measured 12d ago against content hash ccd37cbb82d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

list-affitor-skill 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 12d 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/meta/list-affitor-skill/SKILL.md · 433 lines

How it starts

The opening of the file, as written. The whole thing — 433 lines — stays where its author put it; the contents beside it link to each section on GitHub.

List Affitor Skill

Turn a repeatable AI prompt or workflow into a structured, publish-ready skill for list.affitor.com. The output is a complete SKILL.md file that works in any AI agent — plus the listing fields to publish it on LIST.

Stage

This skill belongs to Stage S8: Meta

When to Use

  • User has a prompt they keep reusing and wants to turn it into a shareable skill
  • User wants to create a new skill for the Affitor skills directory
  • User wants to write a SKILL.md file in the standard format
  • User says "make this a skill" or "write a skill for X"
  • User wants to package an AI workflow so others can replicate it

Input Schema

{
  raw_prompt: string       # (required) The prompt, workflow description, or detailed explanation of what the skill does
  failure_modes: string    # (optional) What goes wrong when the output is bad — helps write better Instructions and Error Handling
  niche: string            # (optional) Category hint, e.g., "content", "research", "seo"
  examples: string         # (optional) Example input/output pairs the user already has
}

Workflow

Step 1: Understand What the Prompt Actually Does

Before writing anything, analyze the user's raw prompt or workflow description:

  1. Task type — Is this content creation, research, analysis, planning, automation, or something else?
  2. Variable inputs — What changes each time? (product name, URL, audience, topic, etc.)
  3. Fixed structure — What stays the same? (output format, sections, tone, constraints)
  4. Quality differentiator — What makes a good output vs. a bad one?
  5. Failure modes — Where does the AI tend to go wrong without explicit guidance?

If the user gave a vague description instead of an actual prompt, ask:

  • "What do you typically paste into ChatGPT/Claude for this?"
  • "What does the output look like when it works well?"
  • "What goes wrong when it doesn't?"

If the user says "just do it", infer from context and proceed.

Read the full file on GitHub · 433 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. 12d ago First seen · 433 lines · 126 tokens per session scan A ccd37cbb82d3

Subscribe to this mod's changes

list-affitor-skill is a skill published in the GitHub repository Gingg7260/affiliate-skills (5 stars, last pushed 2d ago), licensed MIT. It adds 126 tokens to every session and 4,086 once invoked, about $0.0006 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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