invoke-alpha

invoke-alpha is a skill for Claude Code, Codex from agent-ecosystem/agent-skill-implementation. It costs 35 tokens per session (152 once invoked), scanned A, original, CC-BY-4.0.

A test skill that starts a chain in which one AI skill invokes another, with checks for how deeply the chain can continue and how language affects the process.

In plain words
What is it for?
Use it when testing chained skill calls, invocation-depth limits, or language-sensitive behavior.
Why use it?
The input gives no details about a practical coding task it performs, so its main use is testing skill-invocation behavior.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it when testing chained skill calls, invocation-depth limits, or language-sensitive behavior.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agent-ecosystem/agent-skill-implementation/invoke-alpha
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 agent-ecosystem/agent-skill-implementation --skill invoke-alpha
Clone the repo
git clone --depth 1 https://github.com/agent-ecosystem/agent-skill-implementation

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 invoke-alpha

README.md
[![agentmods](https://agentmods.dev/badge/skills/agent-ecosystem/agent-skill-implementation/invoke-alpha/github.svg)](https://agentmods.dev/skills/agent-ecosystem/agent-skill-implementation/invoke-alpha)
Your own site
<a href="https://agentmods.dev/skills/agent-ecosystem/agent-skill-implementation/invoke-alpha"><img src="https://agentmods.dev/badge/skills/agent-ecosystem/agent-skill-implementation/invoke-alpha/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 invoke-alpha

Your own site · 80×15
<a href="https://agentmods.dev/skills/agent-ecosystem/agent-skill-implementation/invoke-alpha"><img src="https://agentmods.dev/badge/skills/agent-ecosystem/agent-skill-implementation/invoke-alpha.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 152 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.
Origin unknown 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 $0.00035 $0.00152
Opus 5.5 $0.00014 $0.00061
Sonnet 5.5 $0.00007 $0.00030
Haiku 4.5 $0.00003 $0.00015

Measured 1mo ago against content hash d9cd972780fa, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

invoke-alpha 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 1mo 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.

benchmark-skills/invoke-alpha/SKILL.md · 21 lines

The source is not reproduced here

Licensed CC-BY-4.0

The repository is licensed CC-BY-4.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 1mo ago First seen · 21 lines · 35 tokens per session scan A d9cd972780fa

Subscribe to this mod's changes

invoke-alpha is a skill published in the GitHub repository agent-ecosystem/agent-skill-implementation (6 stars, last pushed 22d ago), licensed CC-BY-4.0. It adds 35 tokens to every session and 152 once invoked, about $0.0001 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 2026-08-31.

Related

Other skills, from other repositories

review-skill

Review a proposed Agent Skill for structural validity and content quality before publishing. Runs the skill-validator CLI to check for structural issues, scores the skill with an LLM judge, and interprets results to advise authors on what to address. Use when a user wants to review, validate, or quality-check an Agent…

agent-ecosystem/skill-validator · 67 tokens

anti-slop-design

Autonomous Principal Design Technologist. Cures vibe-coded software from AI frontend slop using curated token archetypes and 7-axis quality gating.

sickn33/agentic-awesome-skills · 34 tokens

architecture-decision-records

Comprehensive patterns for creating, maintaining, and managing Architecture Decision Records (ADRs) that capture the context and rationale behind significant technical decisions.

sickn33/agentic-awesome-skills · 34 tokens

autonomous-agent-patterns

Design patterns for building autonomous coding agents, inspired by Cline and OpenAI Codex.

sickn33/agentic-awesome-skills · 46 tokens

peon-ping-log

Log exercise reps for the Peon Trainer. Use when user says they did pushups, squats, or wants to log reps. Examples - "/peon-ping-log 25 pushups", "/peon-ping-log 30 squats", "log 50 pushups".

PeonPing/peon-ping · 64 tokens

deployment-engineer

Expert deployment engineer specializing in modern CI/CD pipelines, GitOps workflows, and advanced deployment automation. Masters GitHub Actions, ArgoCD/Flux, progressive delivery, container security, and platform engineering. Handles zero-downtime deployments, security scanning, and developer experience optimization.…

rmyndharis/antigravity-skills · 77 tokens