agentmods.dev

team-patterns

A knowledge base for organizing teams of AI agents and software engineers. It covers common work patterns for tasks such as incident response, new system design, legacy migrations, security audits, testing, and documentation.

In plain words
What is it for?
It is for planning multi-agent work across software design, APIs, data pipelines, performance, security, testing, and related tasks.
Why use it?
It helps choose an organization pattern for a particular engineering situation instead of starting from scratch.

Skill for Claude CodeCodex

21 1mo ago A scan 133 tokens no licence
View the source file hesreallyhim/really-claude-code
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.

agentmods
npx agentmods add skills/hesreallyhim/really-claude-code/team-patterns
Any agent
npx skills add hesreallyhim/really-claude-code --skill team-patterns
Clone the repo
git clone --depth 1 https://github.com/hesreallyhim/really-claude-code

Made for: Claude Code, Codex.

Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,065 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00133 $0.02065
Opus 5 $0.00067 $0.01033
Sonnet 5 $0.00027 $0.00413
Haiku 4.5 $0.00013 $0.00206

Measured yesterday against content hash ca1484fc4b26, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

team-patterns 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 yesterday.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/pattern-selector.py, scripts/scan-agents.sh, scripts/team-size-calculator.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.

agent-autonomy/autonomous-team-coordination/skills/team-patterns/SKILL.md · 137 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

14 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. yesterday First seen · 137 lines · 133 tokens per session scan A ca1484fc4b26

Subscribe to this mod's changes

team-patterns is a skill published in the GitHub repository hesreallyhim/really-claude-code (21 stars, last pushed 1mo ago), with no licence file. It adds 133 tokens to every session and 2,065 once invoked, about $0.0007 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.

Autonomous AgentsMemory and contextSecurityTestingagentic-codingagentic-engineeringclaude-codeclaude-code-plugincontext
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