skill-finder

skill-finder is a skill for Claude Code, Codex from Affitor/affiliate-skills. It costs 94 tokens per session (1,964 once invoked), scanned A, original, MIT.

A search tool for finding the right Affitor skill for a goal. Affitor is a system of task-focused skills, and this tool matches a plain-language request to relevant options.

In plain words
What is it for?
Use it to search by task, topic, stage, keyword, or natural-language goal, then see matching skills, their requirements, and suggested next steps.
Why use it?
It helps new users find where to start without already knowing skill names or the system’s categories.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: mentions Claude Code; built for openclaw; mentions Gemini CLI.

Part of the meta-skills plugin — 4 skills shipped together

Good fit Use it to search by task, topic, stage, keyword, or natural-language goal, then see matching skills, their requirements, and suggested next steps.

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

Made for: Claude Code, Codex.

Or install meta-skills, the plugin that ships this one along with the rest of its 4 skills.

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 skill-finder

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/affitor/affiliate-skills/skill-finder"><img src="https://agentmods.dev/badge/skills/affitor/affiliate-skills/skill-finder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,964 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 $0.00094 $0.01964
Opus 5 $0.00047 $0.00982
Sonnet 5 $0.00019 $0.00393
Haiku 4.5 $0.00009 $0.00196

Measured 10d ago against content hash d218d3a86bcd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

skill-finder 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 10d 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

skills/meta/skill-finder/SKILL.md · 186 lines

How it starts

The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Finder

Search and discover Affitor skills by task, stage, keyword, or natural language goal. Returns a ranked list of matching skills with descriptions, input requirements, and recommended next steps. Output is a concise Markdown guide.

Stage

S8: Meta — The entry point to the entire Affitor ecosystem. New users don't know what's available. Experienced users forget skill names. Skill Finder bridges the gap — it reads the registry, matches intent to capability, and recommends the fastest path to the user's goal.

When to Use

  • User is new to Affitor and asks "what can I do?" or "where do I start?"
  • User describes a goal but doesn't name a specific skill
  • User wants to find skills by stage (e.g., "what analytics skills exist?")
  • User asks "which skill helps with [topic]?"
  • User says anything like "find skill", "search skill", "explore skills"
  • Chaining: recommended as the first skill for new users before S1-S7

Input Schema

query: string                  # REQUIRED — natural language: "I want to write a blog review"
                               # or "what skills help with SEO?" or "analytics skills"
stage_filter: string           # OPTIONAL — filter by stage: research | content | blog | landing
                               # | distribution | analytics | automation | meta
goal: string                   # OPTIONAL — broader goal: "first commission" | "scale to 1k"
                               # | "optimize conversions" | "automate my workflow"

Workflow

Step 1: Load Skill Catalog

Read registry.json from the repository root (or from conversation context if already loaded). Parse all skills with their stage, name, slug, and description.

Step 2: Match Query to Skills

Match the user's query against:

  1. Skill names and slugs (exact match → top priority)
  2. Skill descriptions (keyword overlap)
  3. Stage labels and descriptions (if user is browsing by stage)
  4. Inferred intent (e.g., "SEO" → seo-audit, affiliate-blog-builder)

Read the full file on GitHub · 186 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 10d ago First seen · 186 lines · 94 tokens per session scan A d218d3a86bcd

Subscribe to this mod's changes

skill-finder is a skill published in the GitHub repository Affitor/affiliate-skills (654 stars, last pushed 4d ago), licensed MIT. It adds 94 tokens to every session and 1,964 once invoked, about $0.0005 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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