agent-ecosystem

agent-ecosystem is a skill for Claude Code, Codex from grahama1970/agent-skills. It costs 91 tokens per session (3,336 once invoked), scanned A, original, no licence file.

A reference map for connecting skills and extensions in an agent-governance system. It defines shared contracts, the component relationships, and which component owns each data format.

In plain words
What is it for?
Use it when wiring skills or extensions into a shared receipt system, or when deciding which component owns a schema or workflow.
Why use it?
It prevents different parts of an agent system from using conflicting data structures or unclear ownership. This makes integrations and shared records easier to reason about.

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 wiring skills or extensions into a shared receipt system, or when deciding which component owns a schema or workflow.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/grahama1970/agent-skills/agent-ecosystem
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 grahama1970/agent-skills --skill agent-ecosystem
Clone the repo
git clone --depth 1 https://github.com/grahama1970/agent-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 agent-ecosystem

README.md
[![agentmods](https://agentmods.dev/badge/skills/grahama1970/agent-skills/agent-ecosystem/github.svg)](https://agentmods.dev/skills/grahama1970/agent-skills/agent-ecosystem)
Your own site
<a href="https://agentmods.dev/skills/grahama1970/agent-skills/agent-ecosystem"><img src="https://agentmods.dev/badge/skills/grahama1970/agent-skills/agent-ecosystem/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 agent-ecosystem

Your own site · 80×15
<a href="https://agentmods.dev/skills/grahama1970/agent-skills/agent-ecosystem"><img src="https://agentmods.dev/badge/skills/grahama1970/agent-skills/agent-ecosystem.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,336 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 $0.00091 $0.03336
Opus 5 $0.00046 $0.01668
Sonnet 5 $0.00018 $0.00667
Haiku 4.5 $0.00009 $0.00334

Measured today against content hash a250709cbe3c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

agent-ecosystem 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 today.

The scan reads SKILL.md. This mod also ships 3 executable files (run.sh, scripts/membership.py, scripts/receipt_envelope.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/agent-ecosystem/SKILL.md · 225 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

7 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. today Changed a250709cbe3c
  2. 9d ago First seen · 225 lines · 91 tokens per session scan A b99d08e1d775

Subscribe to this mod's changes

agent-ecosystem is a skill published in the GitHub repository grahama1970/agent-skills (6 stars, last pushed today), with no licence file. It adds 91 tokens to every session and 3,336 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 2026-09-03.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens